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

Eldad D. Shulman

Cedars-Sinai Medical Center

ORCID: 0000-0002-1859-8819

Also affiliated with National Institutes of Health, National Cancer Institute, Center for Cancer Research

Biochemistry, Genetics and Molecular BiologyMedicineMathematics

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 7%percentile
0.104Author DataRank

Indexed papers

1in 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 1 indexed paper 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 →

Top data-sharing exemplar

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

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.24.684491
Top 78%
0.104DataRank
Top 78%1 citations

E. Michael Gertz, Nishanth Ulhas Nair, Sumit Mukherjee, Sumeet Patiyal, Thomas Cantore +10 more

Papers

Driven by 14 papers — median percentile 22. Top paper: “Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in hearing loss”.

Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in hearing loss

The American Journal of Human Genetics(2022)10.1016/j.ajhg.2022.04.010
N/A
1.6DataRank · unranked
76 citations

Maxim B. Freidin, Linda Broer, Berthe C. Oosterloo, Shuyang Yao, Yitian Zhou +65 more

Fraction of copy-number alterations significantly predicts survival following immunotherapy in a few cancers

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.28.522101
N/A
0.208DataRank · unranked
3 citations

Yingying Cao, Eldad D. Shulman, Alejandro A. Schäffer, Eytan Ruppin, Tiangen Chang

Chromosome 7 to the rescue: overcoming chromosome 10 loss in gliomas

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.17.576103
N/A
0.208DataRank · unranked
3 citations

Alejandro A. Schäffer, Michael Gertz, Kuoyuan Cheng, Johanna Zerbib, Avinash Sahu +6 more

Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.1553
N/A
0.188DataRank · unranked
2 citations

Gal Dinstag, Eldad D. Shulman, Efrat Elis, Doreen S. Ben-Zvi, Omer Tirosh +15 more

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.24.684491
Top 78%
0.104DataRank
Top 78%1 citations

E. Michael Gertz, Nishanth Ulhas Nair, Sumit Mukherjee, Sumeet Patiyal, Thomas Cantore +10 more

Charting the transcriptomic landscape of primary and metastatic cancers in relation to their origin and target normal tissues

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.30.564810
N/A
0DataRank · unranked
4 citations

Camilo Calvo-Alcañiz, Padma Sheila Rajagopal, Stefano Scalera, Valeria Canu, Sanju Sinha +9 more

Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations

Research Square(2023)10.21203/rs.3.rs-2644875/v1
N/A
0DataRank · unranked
1 citations

Yingying Cao, Eldad D. Shulman, Alejandro A. Schäffer, Uri Ben‐David, Eytan Ruppin +1 more

A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

Nature Cancer(2024)10.1038/s43018-024-00793-2
N/A
0DataRank · unranked
141 citations

Gal Dinstag, Eldad D. Shulman, Leandro C. Hermida, Doreen S. Ben-Zvi, Efrat Elis +26 more

Increased RNA and Protein Degradation Is Required for Counteracting Transcriptional Burden and Proteotoxic Stress in Human Aneuploid Cells

Cancer Discovery(2024)10.1158/2159-8290.cd-23-0309
N/A
0DataRank · unranked
36 citations

Johanna Zerbib, Yonatan Eliezer, Eli Reuveni, Sonia Viganò, Giuseppina De Feudis +24 more

Chromosome 7 Gain Compensates for Chromosome 10 Loss in Glioma

Cancer Research(2024)10.1158/0008-5472.can-24-1366
N/A
0DataRank · unranked
18 citations

Alejandro A. Schäffer, E. Michael Gertz, Kuoyuan Cheng, Johanna Zerbib, Avinash Sahu +6 more

Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations

npj Precision Oncology(2023)10.1038/s41698-023-00408-6
N/A
0DataRank · unranked
20 citations

Yingying Cao, Eldad D. Shulman, Uri Ben‐David, Alejandro A. Schäffer, Eytan Ruppin +1 more

Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor Histopathology

Cancer Research(2025)10.1158/0008-5472.can-25-4350
N/A
0DataRank · unranked
5 citations

Eldad D. Shulman, Saugato Rahman Dhruba, Nishanth Ulhas Nair, Ranjan Kumar Barman, Thomas Cantore +10 more

Enhanced prediction of breast cancer patient response to chemotherapy by integrating deconvolved expression patterns of immune, stromal and tumor cells

Cancer Letters(2025)10.1016/j.canlet.2025.218101
N/A
0DataRank · unranked
1 citations

Sahil Sahni, Binbin Wang, Di Wu, Padma Sheila Rajagopal, Yael Schmidt +7 more

Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome

Med(2022)10.1016/j.medj.2022.11.001
N/A
0DataRank · unranked
42 citations

Eldad D. Shulman, Efrat Elis, Doreen S. Ben-Zvi, Omer Tirosh, Eden Maimon +26 more