Jakob Nikolas Kather

Also affiliated with German Cancer Research Center, Heidelberg University, St James's University Hospital, University Hospital Heidelberg, Fresenius (Germany), National Center for Tumor Diseases, University Hospital Carl Gustav Carus, Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden, Fresenius Kabi (Czechia), RWTH Aachen University

MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 3%percentile

1.4Author DataRank

Indexed papers

3in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images

Communications Medicine(2024)10.1038/s43856-024-00471-5

Top 19%

1.0DataRank

Top 19%41 citations

Julian Schmidt, Cher Bass, Debapriya Mehrotra, André Geraldes, Shikha Singhal +7 more

Papers

Driven by 67 papers — median percentile 35. Top paper: “Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study”.

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Cancer Cell(2023)10.1016/j.ccell.2023.08.002

N/A

4.8DataRank · unranked

254 citations

Daniel Reisenbüchler, Nicholas P. West, Jan Niehues, Jiefu Zhu, Sebastian Foersch +62 more

A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images

Communications Medicine(2024)10.1038/s43856-024-00471-5

Top 19%

1.0DataRank

Top 19%41 citations

Julian Schmidt, Cher Bass, Debapriya Mehrotra, André Geraldes, Shikha Singhal +7 more

Pan-cancer image-based detection of clinically actionable genetic alterations

Nature Cancer(2020)10.1038/s43018-020-0087-6

N/A

0.977DataRank · unranked

671 citations

Lara R. Heij, Heike I. Grabsch, Chiara Maria Lavinia Loeffler, Amelie Echle, Hannah Sophie Muti +23 more

Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

Gastroenterology(2020)10.1053/j.gastro.2020.06.021

N/A

0.892DataRank · unranked

381 citations

Heike I. Grabsch, Philip Quirke, Piet A. van den Brandt, Nicholas P. West, Gordon Hutchins +18 more

Denoising diffusion probabilistic models for 3D medical image generation

Scientific Reports(2023)10.1038/s41598-023-34341-2

N/A

0.866DataRank · unranked

321 citations

Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze‐Hagen +10 more

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Nature Communications(2021)10.1038/s41467-021-24698-1

N/A

0.856DataRank · unranked

299 citations

James M. Dolezal, Sara Kochanny, Jefree J. Schulte, Heather Chen, Lara R. Heij +8 more

Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024

JHEP Reports(2024)10.1016/j.jhepr.2024.101209

N/A

0.853DataRank · unranked

29 citations

Thomas Sorz, Jan Clusmann, Jakob Nikolas Kather, Laura Žigutytė

Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

ESMO Open(2022)10.1016/j.esmoop.2022.100400

N/A

0.705DataRank · unranked

109 citations

Narmin Ghaffari Laleh, Philip Quirke, Heike I. Grabsch, Hannah Sophie Muti, Oliver Lester Saldanha +33 more

Overcoming the challenges to implementation of artificial intelligence in pathology

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad048

N/A

0.654DataRank · unranked

77 citations

Jakob Nikolas Kather, Jorge S. Reis‐Filho

Medical large language models are susceptible to targeted misinformation attacks

npj Digital Medicine(2024)10.1038/s41746-024-01282-7

N/A

0.601DataRank · unranked

54 citations

Sven Nebelung, Firas Khader, Tianci Wang, Gustav Müller‐Franzes, Christiane Kühl +7 more

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study

The Lancet Digital Health(2025)10.1016/j.landig.2025.100891

N/A

0.450DataRank · unranked

9 citations

Marko van Treeck, Nic G. Reitsam, Zunamys I. Carrero, Chiara Maria Lavinia Loeffler, Asier Rabasco Meneghetti +17 more

The barriers to uptake of artificial intelligence in hepatology and how to overcome them

Journal of Hepatology(2025)10.1016/j.jhep.2025.07.003

N/A

0.449DataRank · unranked

19 citations

Maria Balaguer‐Montero, Octavi Bassegoda, Carolin V. Schneider, Tobias Paul Seraphin, Ellis Kobina Paintsil +11 more

A software pipeline for medical information extraction with large language models, open source and suitable for oncology

npj Precision Oncology(2025)10.1038/s41698-025-01103-4

N/A

0.434DataRank · unranked

17 citations

Fabian Wolf, Marie-Elisabeth Leßmann, Marko van Treeck, Dyke Ferber, Jiefu Zhu +6 more

End-To-End Clinical Trial Matching with Large Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2407.13463

N/A

0.396DataRank · unranked

13 citations

Lars Hilgers, Isabella C. Wiest, Marie-Elisabeth Leßmann, Jan Clusmann, Peter Neidlinger +11 more

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv(2023)10.1101/2023.03.08.23286975

N/A

0.396DataRank · unranked

13 citations

Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck +10 more

Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.108410

N/A

0.373DataRank · unranked

11 citations

Gustav Müller‐Franzes, Yoni Schirris, Sophia J. Wagner, Michael Jendrusch, Matthias Kloor +8 more

LLM Agents Making Agent Tools

(2025)10.18653/v1/2025.acl-long.1266

N/A

0.373DataRank · unranked

11 citations

Dyke Ferber, Daniel Truhn, Ognjen Arandjelović, Jakob Nikolas Kather, Georg Wölflein

Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101713

N/A

0.330DataRank · unranked

8 citations

Laura Žigutytė, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman +7 more

The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer

Nature Communications(2025)10.1038/s41467-024-55583-2

N/A

0.330DataRank · unranked

8 citations

Barbora Huraiová, Natália Valková, Natália Matyašovská, Daniela Gábrišová, Soňa Gubová +23 more

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Nature Communications(2025)10.1038/s41467-025-64712-4

N/A

0.312DataRank · unranked

7 citations

Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda +62 more

Deep learning can predict cardiovascular events from liver imaging

JHEP Reports(2025)10.1016/j.jhepr.2025.101427

N/A

0.312DataRank · unranked

7 citations

Tim Lenz, Didem Çifçi, Marko van Treeck, Jan Clusmann, Yazhou Chen +7 more

Artificial intelligence predicts outcome-related molecular profiles and vascular invasion in hepatocellular carcinoma

JHEP Reports(2025)10.1016/j.jhepr.2025.101592

N/A

0.241DataRank · unranked

4 citations

Agavni Mesropian, Laura Žigutytė, James Brooks, Ezequiel Mauro, Albert Gris‐Oliver +13 more

Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks

medRxiv(2025)10.1101/2025.09.05.25335174

Top 65%

0.208DataRank

Top 65%3 citations

Max Kirchner, Kevin Pfeiffer, Sebastian Bodenstedt, Alexander C. Jenke, Julia Barthel +23 more

Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study

The Lancet Regional Health - Europe(2025)10.1016/j.lanepe.2025.101323

N/A

0.208DataRank · unranked

3 citations

Hartmut Häntze, Christian Mertens, Felix Busch, Tristan Lemke, Jakob Nikolas Kather +22 more

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study

medRxiv(2025)10.1101/2025.02.04.25321660

N/A

0.104DataRank · unranked

1 citations

Marko van Treeck, Nic G. Reitsam, Zunamys I. Carrero, Chiara Maria Lavinia Loeffler, Asier Rabasco Meneghetti +17 more

IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases

Research Square(2025)10.21203/rs.3.rs-6443303/v1

Top 78%

0.104DataRank

Top 78%1 citations

Christina Plattner, Gregor Sturm, Anja A. Kühl, Raja Atreya, Sandro Carollo +15 more

Prompt injection attacks on vision-language models for surgical decision support

medRxiv(2025)10.1101/2025.07.16.25331645

N/A

0.104DataRank · unranked

1 citations

Muhammad Ibtsaam Qadir, Matthias Carstens, Enshang Zhang, Madison Sarah Loiselle, Farren Marc Martinus +5 more

Decentralized, privacy-preserving surgical video analysis with Swarm Learning

medRxiv(2025)10.1101/2025.10.02.25337106

N/A

0.104DataRank · unranked

1 citations

Kathy Pfeiffer, Sebastian Bodenstedt, Max Kirchner, Alexander C. Jenke, Catarina Barata +28 more

Multimodal analysis of whole slide images in colorectal cancer

npj Digital Medicine(2025)10.1038/s41746-025-02095-y

N/A

0.104DataRank · unranked

1 citations

Miljana Shulajkovska, Anton Gradišek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo +6 more

Prompt Injection Attacks on Large Language Models in Oncology

arXiv (Cornell University)(2024)10.48550/arxiv.2407.18981

N/A

0DataRank · unranked

5 citations

Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch +3 more

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2411.13623

N/A

0DataRank · unranked

2 citations

Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather +1 more

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

arXiv (Cornell University)(2024)10.48550/arxiv.2411.15802

N/A

0DataRank · unranked

2 citations

Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung +2 more

Histopathological evaluation of abdominal aortic aneurysms with deep learning

medRxiv(2024)10.1101/2024.04.23.24306178

N/A

0DataRank · unranked

1 citations

Omar S. M. El Nahhas, Maja Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch +2 more

A pen mark is all you need - Incidental prompt injection attacks on Vision Language Models in real-life histopathology

medRxiv(2024)10.1101/2024.12.11.24318840

N/A

0DataRank · unranked

1 citations

Stefan Schulz, Dyke Ferber, Isabella C. Wiest, Aurélie Fernandez, Markus Eckstein +13 more

36P Multiplexed RNA-FISH-guided laser capture microdissection RNA sequencing improves breast cancer molecular subtyping and prognostic classification

ESMO Open(2024)10.1016/j.esmoop.2024.103044

N/A

0DataRank · unranked

0 citations

Barbora Huraiová, Natália Valková, Natália Matyašovská, Daniela Gábrišová, Soňa Gubová +12 more

Artificial intelligence-based biomarkers for treatment decisions in oncology

Trends in cancer(2025)10.1016/j.trecan.2024.12.001

N/A

0DataRank · unranked

50 citations

Omar S. M. El Nahhas, Mihaela Aldea, Jakob Nikolas Kather, Marta Ligero

Prompt injection attacks on vision language models in oncology

Nature Communications(2025)10.1038/s41467-024-55631-x

N/A

0DataRank · unranked

40 citations

Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch +3 more

RadioRAG: Online Retrieval–Augmented Generation for Radiology Question Answering

Radiology Artificial Intelligence(2025)10.1148/ryai.240476

N/A

0DataRank · unranked

21 citations

Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Lisa C. Adams, Dyke Ferber +5 more

Privacy-preserving large language models for structured medical information retrieval

npj Digital Medicine(2024)10.1038/s41746-024-01233-2

N/A

0DataRank · unranked

111 citations

Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan +7 more

Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2

Scientific Reports(2025)10.1038/s41598-025-09041-8

N/A

0DataRank · unranked

17 citations

Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung +2 more

Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis

Communications Medicine(2024)10.1038/s43856-024-00492-0

N/A

0DataRank · unranked

133 citations

Gregory Patrick Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather, Fiona R. Kolbinger

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions

Journal of surgical education(2025)10.1016/j.jsurg.2025.103442

N/A

0DataRank · unranked

8 citations

Mark Enrik Geissler, Anna Klimová, Robert M. Steiner, Kathy Pfeiffer, Fiona R. Kolbinger +4 more

176P Enhancing immunotherapy response prediction via multimodal integration of radiology and pathology deep learning models

Annals of Oncology(2023)10.1016/j.annonc.2023.09.2900

N/A

0DataRank · unranked

1 citations

Omar S. M. El Nahhas, Óscar Palomares, V. Navarro, Irene Sansano, G. Serna +9 more

If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

npj Digital Medicine(2025)10.1038/s41746-025-02175-z

N/A

0DataRank · unranked

6 citations

Oscar Freyer, Falk Gerrik Verhees, Jakob Nikolas Kather, Stephen Gilbert, Max Ostermann

A framework for artificial intelligence in cancer research and precision oncology

npj Precision Oncology(2023)10.1038/s41698-023-00383-y

N/A

0DataRank · unranked

20 citations

Jorge S. Reis‐Filho, Jakob Nikolas Kather, Raquel Pérez-López

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease

Liver International(2025)10.1111/liv.70164

N/A

0DataRank · unranked

7 citations

Benjamin P. M. Laevens, Teresa Lemainque, Gustav Müller‐Franzes, Tobias Seibel, Carola Dlugosch +22 more

Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale study

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.21.477189

N/A

0DataRank · unranked

14 citations

Debapriya Mehrotra, Julian Schmidt, André Geraldes, Shikha Singhal, Julius Hense +6 more

Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

JHEP Reports(2022)10.1016/j.jhepr.2022.100443

N/A

0DataRank · unranked

219 citations

Julius Chapiro, Valérie Paradis, Tobias Paul Seraphin, Jakob Nikolas Kather, David Nam

Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: A systematic literature review

ImmunoInformatics(2021)10.1016/j.immuno.2021.100008

N/A

0DataRank · unranked

46 citations

Narmin Ghaffari Laleh, Peter L. Schrammen, Nicholas P. West, Christian Trautwein, Titus J. Brinker +7 more

Deep learning predicts microsatellite instability status in colorectal carcinoma in an ethnically heterogeneous population in South Africa

Journal of Clinical Pathology(2025)10.1136/jcp-2025-210053

N/A

0DataRank · unranked

3 citations

Didem Çifçi, Gregory Patrick Veldhuizen, Wan-Jung Tsai, Komala Pillay, Adam Boutall +5 more

Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping

Frontiers in Oncology(2021)10.3389/fonc.2021.630953

N/A

0DataRank · unranked

58 citations

Garth W. Strohbehn, Loren Saulsberry, Neda Laiteerapong, Nicole A. Cipriani, Jakob Nikolas Kather +2 more

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

BMC Artificial Intelligence(2025)10.1186/s44398-025-00003-8

N/A

0DataRank · unranked

3 citations

Marta Ligero, Jens‐Peter Kühn, Steffen Löck, Zunamys I. Carrero, Raquel Pérez-López +7 more

Histopathological evaluation of abdominal aortic aneurysms with deep learning

Diagnostic Pathology(2025)10.1186/s13000-025-01684-5

N/A

0DataRank · unranked

1 citations

Omar S. M. El Nahhas, Maja Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch +2 more

Spatial structure governs the mode of tumour evolution

Nature Ecology & Evolution(2021)10.1038/s41559-021-01615-9

N/A

0DataRank · unranked

118 citations

Dominik Bürri, Cécile Le Sueur, Jeanne Lemant, Yannick Viossat, Jakob Nikolas Kather +2 more

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.06.631471

N/A

0DataRank · unranked

3 citations

Chiara Maria Lavinia Loeffler, Julien Vibert, Laura Žigutytė, Srividhya Sainath, Tim Lenz +6 more

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

European Journal of Cancer(2021)10.1016/j.ejca.2021.06.049

N/A

0DataRank · unranked

255 citations

Roman C. Maron, Achim Hekler, Jochen Utikal, Catarina Barata, Raymond L. Barnhill +60 more

SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.13.632775

N/A

0DataRank · unranked

1 citations

Vivien Goepp, Kathy Pfeiffer, Hyojin Kim, Jie Zhu, Rafael Kramann +3 more

Authors' reply: Re: Koga et al. Retrieval‐augmented generation versus document‐grounded generation: a key distinction in large language models

The Journal of Pathology Clinical Research(2025)10.1002/2056-4538.70013

N/A

0DataRank · unranked

1 citations

Isabella C. Wiest, Jakob Nikolas Kather, Katherine Hewitt

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Nature Communications(2020)10.1038/s41467-020-18037-z

N/A

0DataRank · unranked

304 citations

B.T. Thomas Yeo, Joshua T Vogelstein, Janaina Mourao-Miranada, Jakob Nikolas Kather, Konrad P. Körding +3 more

Combining Clinician Expertise with Prompt Engineering enhances Small Language Models Reliability for Cancer Entity Recognition in Electronic Health Records

medRxiv(2025)10.1101/2025.10.16.25337917

N/A

0DataRank · unranked

0 citations

V. Peppoloni, Laura Mazzeo, Giuseppe Leone, Luana Passos, V. Miskovic +39 more

31P End-to-end deep learning for predicting breast cancer recurrence risk

ESMO Real World Data and Digital Oncology(2025)10.1016/j.esmorw.2025.100230

N/A

0DataRank · unranked

0 citations

Chiara Maria Lavinia Loeffler, Evan D. Paul, Z. Fernjentsik, S. Hrabovska, F. Németh +4 more

280P Machine learning for multi-omics risk prediction of cholangiocarcinoma in the general population

ESMO Real World Data and Digital Oncology(2025)10.1016/j.esmorw.2025.100476

N/A

0DataRank · unranked

0 citations

Jan Clusmann, P-H. Koop, Richardria Goodson, Tobias Seibel, Niharika Jakhar +12 more

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge

arXiv (Cornell University)(2025)10.48550/arxiv.2510.04772

N/A

0DataRank · unranked

0 citations

Hanna Hoffmann, Alexander C. Jenke, Oliver Lester Saldanha, Pfeiffer, Kevin, Weam Kanjo +14 more

Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

EBioMedicine(2024)10.1016/j.ebiom.2024.105276

N/A

0DataRank · unranked

14 citations

James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard +7 more

Large language models as a diagnostic support tool in neuropathology

The Journal of Pathology Clinical Research(2024)10.1002/2056-4538.70009

N/A

0DataRank · unranked

23 citations

Isabella C. Wiest, Zunamys I. Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner +2 more

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology

arXiv (Cornell University)(2024)10.48550/arxiv.2408.15823

N/A

0DataRank · unranked

12 citations

Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner +11 more

Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.29.620913

N/A

0DataRank · unranked

6 citations

Tim Lenz, Tianyu Han, Katherine Hewitt, Nic G. Reitsam, Sebastian Foersch +7 more

Jakob Nikolas Kather

Indexed papers

Top data-sharing exemplar

Papers