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

Nathaniel Diamant

Genesys (United States)

ORCID: 0000-0002-1738-304X
Biochemistry, Genetics and Molecular BiologyMedicine

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
2.9Author DataRank

Indexed papers

2in 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 2 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 →

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.

Cohort design and natural language processing to reduce bias in electronic health records research

npj Digital Medicine(2022)10.1038/s41746-022-00590-0
Top 10%
2.2DataRank
Top 10%84 citations

Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Sam Friedman +24 more

Papers

Driven by 13 papers — median percentile 81. Top paper: “Cohort design and natural language processing to reduce bias in electronic health records research”.

Cohort design and natural language processing to reduce bias in electronic health records research

npj Digital Medicine(2022)10.1038/s41746-022-00590-0
Top 10%
2.2DataRank
Top 10%84 citations

Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Sam Friedman +24 more

A cell atlas foundation model for scalable search of similar human cells

Nature(2024)10.1038/s41586-024-08411-y
N/A
2.1DataRank · unranked
114 citations

Tony Kuo, Daryle J. DePianto, Omar Salem, Tobias Heigl, Nathaniel Diamant +9 more

Association of machine learning-derived measures of body fat distribution with cardiometabolic diseases in >40,000 individuals

medRxiv(2021)10.1101/2021.05.07.21256854
Top 28%
0.704DataRank
Top 28%17 citations

Marcus D. R. Klarqvist, Nathaniel Diamant, Takara L. Stanley, Patrick T. Ellinor, Nehal N. Mehta +7 more

Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exercise

European Journal of Preventive Cardiology(2023)10.1093/eurjpc/zwad321
N/A
0.537DataRank · unranked
14 citations

Timothy W. Churchill, Nathaniel Diamant, Paolo Di Achille, Christopher Reeder, Pulkit Singh +13 more

Deep learning to estimate cardiac magnetic resonance–derived left ventricular mass

Cardiovascular Digital Health Journal(2021)10.1016/j.cvdhj.2021.03.001
N/A
0.330DataRank · unranked
8 citations

Sam Friedman, James P. Pirruccello, Paolo Di Achille, Nathaniel Diamant, Christopher D. Anderson +6 more

A high-throughput phenotypic screen combined with an ultra-large-scale deep learning-based virtual screening reveals novel scaffolds of antibacterial compounds

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.11.612340
N/A
0.324DataRank · unranked
5 citations

Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nicholas J. Skelton, Kangway V. Chuang +16 more

Deep-learning-based virtual screening of antibacterial compounds

Nature Biotechnology(2025)10.1038/s41587-025-02814-6
N/A
0.300DataRank · unranked
4 citations

Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nathaniel Diamant, Jan-Christian Hütter +16 more

Deep Learning to Estimate Cardiac Magnetic Resonance-Derived Left Ventricular Mass

medRxiv(2020)10.1101/2020.12.18.20248364
N/A
0.165DataRank · unranked
2 citations

Sam Friedman, James P. Pirruccello, Paolo Di Achille, Nathaniel Diamant, Christopher D. Anderson +6 more

Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States

Lecture Notes in Computer Science(2025)10.1007/978-3-031-90252-9_27
N/A
0.135DataRank · unranked
1 citations

Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang +6 more

Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project

medRxiv(2021)10.1101/2021.05.26.21257872
N/A
0DataRank · unranked
6 citations

Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Sam Friedman +24 more

Publisher Correction: Deep-learning-based virtual screening of antibacterial compounds

Nature Biotechnology(2025)10.1038/s41587-025-02941-0
N/A
0DataRank · unranked
0 citations

Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nathaniel Diamant, Jan-Christian Hütter +16 more

Deep learning on resting electrocardiogram to identify impaired heart rate recovery

Cardiovascular Digital Health Journal(2022)10.1016/j.cvdhj.2022.06.001
N/A
0DataRank · unranked
11 citations

Paolo Di Achille, Lu‐Chen Weng, Emily S. Lau, Shaan Khurshid, Sam Friedman +17 more

Identifying high risk clinical phenogroups of pulmonary hypertension through a clustering analysis

PLoS ONE(2023)10.1371/journal.pone.0290553
N/A
0DataRank · unranked
1 citations

Emily K. Zern, Dongyu Wang, Athar Roshandelpoor, Shahrooz Zarbafian, Elizabeth Liu +10 more