Jacob Rosenthal

Also affiliated with Tri-Institutional PhD Program in Chemical Biology, Syracuse 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum”.

Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

Molecular Cancer Research(2020)10.1158/1541-7786.mcr-20-0548

N/A

0DataRank · unranked

45 citations

Svitlana Tyekucheva, Jacob Rosenthal, Habiba El Fandy, Ryan Carelli, Stephanie Borgstein +13 more

Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

Molecular Cancer Research(2021)10.1158/1541-7786.mcr-21-0665

N/A

0DataRank · unranked

47 citations

Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman +6 more

Federated benchmarking of medical artificial intelligence with MedPerf

Nature Machine Intelligence(2023)10.1038/s42256-023-00652-2

N/A

0DataRank · unranked

153 citations

Renato Umeton, Micah Sheller, Alejandro Aristizábal, Johnu George, Anna Wuest +69 more

Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states

Cell Reports Medicine(2023)10.1016/j.xcrm.2023.101189

N/A

0DataRank · unranked

39 citations

Thomas Denize, Ziad Bakouny, Chris Labaki, Breanna M. Titchen, Kevin Bi +13 more

Data from Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum

(2023)10.1158/1541-7786.c.6545205.v1

N/A

0DataRank · unranked

0 citations

Svitlana Tyekucheva, Jacob Rosenthal, Habiba El Fandy, Ryan Carelli, Stephanie Borgstein +13 more

A Framework for Interpretability in Machine Learning for Medical Imaging

arXiv (Cornell University)(2023)10.48550/arxiv.2310.01685

N/A

0DataRank · unranked

0 citations

Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young +2 more

A Framework for Interpretability in Machine Learning for Medical Imaging

IEEE Access(2024)10.1109/access.2024.3387702

N/A

0DataRank · unranked

31 citations

Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young +2 more

Cancer type, stage and prognosis assessment from pathology reports using LLMs

Scientific Reports(2025)10.1038/s41598-025-10709-4

N/A

0DataRank · unranked

6 citations

Jacob Rosenthal, Annika Windon, Yoav Artzi, David J. Pisapia, Benjamin Liechty +2 more