Danielle S. Bitterman

Also affiliated with Boston Children's Hospital, Harvard University, Massachusetts General Hospital, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Mass General Brigham

MedicineComputer Science

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 2%percentile

2.8Author DataRank

Indexed papers

10in 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 10 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.

Collaborative large language models for automated data extraction in living systematic reviews

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocae325

Top 23%

0.892DataRank

Top 23%36 citations

Umair Ayub, Syed Arsalan Ahmed Naqvi, Kaneez Zahra Rubab Khakwani, Zaryab bin Riaz Sipra, Ammad Raina +16 more

Papers

Driven by 46 papers — median percentile 48. Top paper: “When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior”.

When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior

npj Digital Medicine(2025)10.1038/s41746-025-02008-z

N/A

2.7DataRank · unranked

65 citations

Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan +4 more

Artificial intelligence in radiation oncology

Nature Reviews Clinical Oncology(2020)10.1038/s41571-020-0417-8

N/A

0.903DataRank · unranked

410 citations

Ahmed Hosny, Christian V. Guthier, Danielle S. Bitterman, Steven Petit, Daphne A. Haas‐Kogan +4 more

Collaborative large language models for automated data extraction in living systematic reviews

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocae325

Top 23%

0.892DataRank

Top 23%36 citations

Umair Ayub, Syed Arsalan Ahmed Naqvi, Kaneez Zahra Rubab Khakwani, Zaryab bin Riaz Sipra, Ammad Raina +16 more

Mean Heart Dose Is an Inadequate Surrogate for Left Anterior Descending Coronary Artery Dose and the Risk of Major Adverse Cardiac Events in Lung Cancer Radiation Therapy

International Journal of Radiation Oncology*Biology*Physics(2021)10.1016/j.ijrobp.2021.03.005

N/A

0.648DataRank · unranked

74 citations

Danielle S. Bitterman, Tafadzwa L. Chaunzwa, David E. Kozono, Elizabeth H. Baldini, Hugo J.W.L. Aerts +5 more

Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer

International Journal of Radiation Oncology*Biology*Physics(2021)10.1016/j.ijrobp.2021.01.044

N/A

0.633DataRank · unranked

67 citations

Timothy A. Miller, Raymond H. Mak, Guergana K. Savova, Danielle S. Bitterman

Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability

npj Digital Medicine(2025)10.1038/s41746-025-01443-2

N/A

0.520DataRank · unranked

31 citations

Danielle S. Bitterman, Jack Gallifant, Donnella S. Comeau

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

npj Digital Medicine(2021)10.1038/s41746-021-00416-5

N/A

0.510DataRank · unranked

29 citations

Jakob Weiß, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox +11 more

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Communications Medicine(2025)10.1038/s43856-025-01283-x

N/A

0.477DataRank · unranked

23 citations

Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi +21 more

LCD benchmark: long clinical document benchmark on mortality prediction for language models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae287

Top 43%

0.430DataRank

Top 43%6 citations

Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman +3 more

Collaborative Large Language Models for Automated Data Extraction in Living Systematic Reviews

medRxiv(2024)10.1101/2024.09.20.24314108

Top 46%

0.397DataRank

Top 46%8 citations

Umair Ayub, Syed Arsalan Ahmed Naqvi, Kaneez Zahra Rubab Khakwani, Zaryab bin Riaz Sipra, Ammad Raina +16 more

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

Research Publications (Maastricht University)(2025)10.18653/v1/2025.findings-naacl.402

Top 52%

0.329DataRank

Top 52%5 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

Large Language Models to Identify Social Determinants of Health in Electronic Health Records

arXiv (Cornell University)(2023)10.48550/arxiv.2308.06354

N/A

0.312DataRank · unranked

7 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +9 more

LCD Benchmark: Long Clinical Document Benchmark on Mortality Prediction for Language Models

medRxiv(2024)10.1101/2024.03.26.24304920

Top 54%

0.309DataRank

Top 54%3 citations

Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman +3 more

The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

Ewha Medical Journal(2025)10.12771/emj.2025.00661

Top 62%

0.224DataRank

Top 62%2 citations

Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani +20 more

The impact of responding to patient messages with large language model assistance

arXiv (Cornell University)(2023)10.48550/arxiv.2310.17703

N/A

0.208DataRank · unranked

3 citations

Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +10 more

Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy

Frontiers in Cardiovascular Medicine(2025)10.3389/fcvm.2025.1560922

N/A

0.208DataRank · unranked

3 citations

John Cijiang He, Katrina D. Silos, Jordan O. Gasho, Patrick Belen, Danielle S. Bitterman +10 more

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

arXiv (Cornell University)(2024)10.48550/arxiv.2410.12722

Top 65%

0.206DataRank

Top 65%2 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

Reliability of large language model knowledge across brand and generic cancer drug names

10.1101/2024.11.08.24316949

N/A

0.104DataRank · unranked

1 citations

Shan Chen, Sandeep K. Jain, Pedro Moreira, Umit Topaloglu, Hugo JWL Aerts +4 more

Measuring Pointwise 𝒱-Usable Information In-Context-ly-Usable Information In-Context-ly

TUbilio (Technical University of Darmstadt)(2023)10.18653/v1/2023.findings-emnlp.1054

N/A

0.104DataRank · unranked

1 citations

Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych +1 more

Navigating the Complexities of Artificial Intelligence–Enabled Real-World Data Collection for Oncology Pharmacovigilance

JCO Clinical Cancer Informatics(2024)10.1200/cci.24.00051

N/A

0DataRank · unranked

7 citations

Leo Anthony Celi, Elad Sharon, Danielle S. Bitterman, Jack Gallifant

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

PubMed(2024)10.18653/v1/2024.findings-emnlp.726

N/A

0DataRank · unranked

16 citations

Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond +5 more

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

PubMed(2024)10.52202/079017-0749

N/A

0DataRank · unranked

9 citations

Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar +10 more

Large language models to identify social determinants of health in electronic health records

npj Digital Medicine(2024)10.1038/s41746-023-00970-0

N/A

0DataRank · unranked

264 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +10 more

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

PubMed(2024)10.18653/v1/2024.findings-emnlp.311

N/A

0DataRank · unranked

5 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +3 more

Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly

arXiv (Cornell University)(2023)10.48550/arxiv.2310.12300

N/A

0DataRank · unranked

0 citations

Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych +1 more

Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources

arXiv (Cornell University)(2024)10.48550/arxiv.2405.05049

N/A

0DataRank · unranked

2 citations

Nikolaj Andersen, Jack Gallifant, Liam G. McCoy, James K Stone, Nura Izath +5 more

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Research Publications (Maastricht University)(2024)10.48550/arxiv.2406.12066

N/A

0DataRank · unranked

1 citations

Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond +5 more

The use of large language models to enhance cancer clinical trial educational materials

arXiv (Cornell University)(2024)10.48550/arxiv.2412.01955

N/A

0DataRank · unranked

1 citations

Varshney, Aman, Shan Chen, Vikram Goddla, Jack Gallifant, Patrick Doyle +13 more

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data

arXiv (Cornell University)(2024)10.48550/arxiv.2403.19511

N/A

0DataRank · unranked

0 citations

Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy A. Miller +3 more

Applying Deep Learning Based Facial Age Phenotyping to Improve Life Expectancy Prediction in Metastatic Cancer Patients Receiving Palliative Radiotherapy

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.07.034

N/A

0DataRank · unranked

0 citations

Fridolin Haugg, D. Bontempi, Danielle S. Bitterman, Sudha K. Pai, C.V. Guthier +8 more

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation

arXiv (Cornell University)(2024)10.48550/arxiv.2409.20385

N/A

0DataRank · unranked

0 citations

Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan +4 more

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability

arXiv (Cornell University)(2024)10.48550/arxiv.2411.04962

N/A

0DataRank · unranked

0 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +5 more

The TRIPOD-LLM reporting guideline for studies using large language models

Nature Medicine(2025)10.1038/s41591-024-03425-5

N/A

0DataRank · unranked

389 citations

Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani +20 more

Decoding biological age from face photographs using deep learning

medRxiv(2023)10.1101/2023.09.12.23295132

N/A

0DataRank · unranked

6 citations

Dennis Bontempi, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

The Lancet Digital Health(2025)10.1016/j.landig.2025.03.002

N/A

0DataRank · unranked

33 citations

Osbert C. Zalay, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence–Ready Informatics Ecosystem for Radiation Oncology

JCO Clinical Cancer Informatics(2023)10.1200/cci.23.00136

N/A

0DataRank · unranked

1 citations

Michael F. Gensheimer, David A. Jaffray, Daniel A. Pryma, Steve Jiang, Olivier Morin +22 more

Clinical outcomes of radiation therapy for transgender and gender-expansive people with cancer

Frontiers in Oncology(2023)10.3389/fonc.2023.1135400

N/A

0DataRank · unranked

2 citations

Abigail M. Kempf, Danielle S. Bitterman, Chirayu G. Patel, M Aiven Dyer, Daphne A. Haas‐Kogan +3 more

Extracting Relations between Radiotherapy Treatment Details

(2020)10.18653/v1/2020.clinicalnlp-1.21

N/A

0DataRank · unranked

7 citations

Timothy M. Miller, David J. Harris, Chen Lin, Sean Finan, Jeremy L. Warner +3 more

An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts

International Journal of Radiation Oncology*Biology*Physics(2023)10.1016/j.ijrobp.2023.03.055

N/A

0DataRank · unranked

26 citations

Eli Goldner, Sean Finan, David Harris, Eric B. Durbin, Harry Hochheiser +5 more

Classifying unstructured electronic consult messages to understand primary care physician specialty information needs

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac092

N/A

0DataRank · unranked

5 citations

Michael L. Barnett, Ateev Mehrotra, Delphine S. Tuot, Danielle S. Bitterman, Timothy A. Miller +1 more

When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy

University of Groningen research database (University of Groningen / Centre for Information Technology)(2025)10.18653/v1/2025.findings-emnlp.1103

N/A

0DataRank · unranked

0 citations

Shan Chen, Zidi Xiong, Raquel Fernández, Danielle S. Bitterman, Arianna Bisazza +1 more

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00129-7

N/A

0DataRank · unranked

72 citations

Danielle S. Bitterman, Christian V. Guthier, Jack M. Qian, Hannah Roberts, Subha Perni +11 more

Ethical debates amidst flawed healthcare artificial intelligence metrics

npj Digital Medicine(2024)10.1038/s41746-024-01242-1

N/A

0DataRank · unranked

10 citations

Danielle S. Bitterman, Leo Anthony Celi, Judy Wawira Gichoya, João N. Matos, Liam G. McCoy +2 more

Evaluating the ChatGPT family of models for biomedical reasoning and classification

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocad256

N/A

0DataRank · unranked

73 citations

Yingya Li, Sheng Lu, Hoang Anh Thi Van, Hugo J.W.L. Aerts, Guergana Savova +2 more

Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability

JAMIA Open(2024)10.1093/jamiaopen/ooae154

N/A

0DataRank · unranked

9 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +5 more

The effect of using a large language model to respond to patient messages

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00060-8

N/A

0DataRank · unranked

129 citations

Marco Guevara-Vega, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +12 more

Danielle S. Bitterman

Indexed papers

Top data-sharing exemplar

Papers