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

Suraj Rajendran

Cornell University

ORCID: 0000-0002-8149-0157

Also affiliated with Lander Institute, Tri-Institutional PhD Program in Chemical Biology, Weill Cornell Medicine

Computer ScienceMedicine

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
0.966Author 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.

Biomedical discovery through the integrative biomedical knowledge hub (iBKH)

iScience(2023)10.1016/j.isci.2023.106460
Top 21%
0.966DataRank
Top 21%31 citations

Yu Hou, Manqi Zhou, Suraj Rajendran, Jacqueline R. M. A. Maasch, Zehra Abedi +14 more

Papers

Driven by 14 papers — median percentile 79. Top paper: “Biomedical discovery through the integrative biomedical knowledge hub (iBKH)”.

Biomedical discovery through the integrative biomedical knowledge hub (iBKH)

iScience(2023)10.1016/j.isci.2023.106460
Top 21%
0.966DataRank
Top 21%31 citations

Yu Hou, Manqi Zhou, Suraj Rajendran, Jacqueline R. M. A. Maasch, Zehra Abedi +14 more

In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare

Frontiers in Artificial Intelligence(2021)10.3389/frai.2021.746497
N/A
0DataRank · unranked
47 citations

Elisabeth M. Morrell, Suraj Rajendran, Ümit Topaloĝlu, Mustafa Y. Topaloglu

A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00213-8
N/A
0DataRank · unranked
115 citations

Matthew Brendel, Vianne R. Gao, Suraj Rajendran, Junbum Kim, Qianzi Li +12 more

Data Heterogeneity in Federated Learning with Electronic Health Records: Case Studies of Risk Prediction for Acute Kidney Injury and Sepsis Diseases in Critical Care

medRxiv(2022)10.1101/2022.08.30.22279382
N/A
0DataRank · unranked
4 citations

Zhenxing Xu, Weishen Pan, Arnab K. Ghosh, Fei Wang, Suraj Rajendran

Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care

PLOS Digital Health(2023)10.1371/journal.pdig.0000117
N/A
0DataRank · unranked
37 citations

Zhenxing Xu, Weishen Pan, Arnab K. Ghosh, Fei Wang, Suraj Rajendran

An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals

Patterns(2023)10.1016/j.patter.2023.100898
N/A
0DataRank · unranked
29 citations

Zhenxing Xu, Suraj Rajendran, Fei Wang, Weishen Pan

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources

arXiv (Cornell University)(2023)10.48550/arxiv.2305.06217
N/A
0DataRank · unranked
5 citations

Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang +1 more

Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.31.555741
N/A
0DataRank · unranked
5 citations

Matthew Brendel, J. Wesley Barnes, Qiansheng Zhan, Jonas Malmsten, Pantelis Zisimopoulos +10 more

Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation

Patterns(2024)10.1016/j.patter.2023.100913
N/A
0DataRank · unranked
39 citations

Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang +1 more

High-speed optical imaging with sCMOS pixel reassignment

Nature Communications(2024)10.1038/s41467-024-48987-7
N/A
0DataRank · unranked
17 citations

Corey Zheng, Suraj Rajendran, Wenhao Liu, Parvin Forghani, Chunhui Xu +2 more

Federated target trial emulation using distributed observational data for treatment effect estimation

npj Digital Medicine(2025)10.1038/s41746-025-01803-y
N/A
0DataRank · unranked
11 citations

Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen +2 more

A foundational model for in vitro fertilization trained on 18 million time-lapse images

Nature Communications(2025)10.1038/s41467-025-61116-2
N/A
0DataRank · unranked
10 citations

Eeshaan Rehani, William Phu, Qiansheng Zhan, Jonas Malmsten, Marcos Meseguer +6 more

Cloud-Based Federated Learning Implementation Across Medical Centers

JCO Clinical Cancer Informatics(2021)10.1200/cci.20.00060
N/A
0DataRank · unranked
74 citations

Jihad S. Obeid, Hamidullah Binol, Ralph B. D’Agostino, Kristie L. Foley, Wei Zhang +5 more

Federated Target Trial Emulation using Distributed Observational Data for Treatment Effect Estimation

medRxiv(2025)10.1101/2025.05.02.25326905
N/A
0DataRank · unranked
0 citations

Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen +2 more