🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Balázs Ács

Karolinska University Hospital

ORCID: 0000-0002-0972-4633

Biochemistry, Genetics and Molecular BiologyMedicineComputer 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms”.

Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

EBioMedicine(2022)10.1016/j.ebiom.2022.104143

N/A

1.2DataRank · unranked

33 citations

Saba Shafi, James S. Wilmott, Saeed Nourmohammadi, Ioannis Vathiotis, Niki Gavrielatou +15 more

Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group

JNCI Journal of the National Cancer Institute(2020)10.1093/jnci/djaa201

N/A

0.982DataRank · unranked

694 citations

Samuel Leung, David L. Rimm, Andrew Dodson, Balázs Ács, Sunil Badve +17 more

Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma

Scientific Reports(2021)10.1038/s41598-021-82305-1

N/A

0DataRank · unranked

26 citations

Isabel D. Friesner, Emanuelle M. Rizk, Benjamin T. Fullerton, Manas Mondal, Megan H. Trager +24 more

Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2023)10.1002/path.6155

N/A

0DataRank · unranked

53 citations

Glenn Broeckx, David B. Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos +95 more

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2023)10.1002/path.6165

N/A

0DataRank · unranked

51 citations

Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi Gupta, Jeppe Thagaard +95 more

Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

The Journal of Pathology(2024)10.1002/path.6238

N/A

0DataRank · unranked

16 citations

David B. Page, Glenn Broeckx, Claudia Aura Gonzalez, Caoimbhe Burke, Clodagh Murphy +95 more

Training pathologists to assess stromal tumour‐infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

Histopathology(2024)10.1111/his.15140

N/A

0DataRank · unranked

9 citations

Víctor García, Kim Blenman, Anna Ehinger, Katherine Elfer, Matthew G. Hanna +16 more

Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma

JAMA Network Open(2025)10.1001/jamanetworkopen.2025.18906

N/A

0DataRank · unranked

12 citations

Matthew Liu, David Su, Saba Shafi, Ceren Boyacı, Sanna Steen +69 more

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

npj Breast Cancer(2020)10.1038/s41523-020-0154-2

N/A

0DataRank · unranked

168 citations

Elisabeth Specht Stovgaard, Eva Balslev, Jeppe Thagaard, Weijie Chen, Sarah Dudgeon +95 more