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

Arjun Kumar Manrai

University Health Network

ORCID: 0000-0001-9657-9800

Also affiliated with Harvard University, New England Fishery Management Council

MedicineEnvironmental 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 4%percentile
0.741Author 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.

Harmonizing the Collection of Clinical Data on Genetic Testing Requisition Forms to Enhance Variant Interpretation in Hypertrophic Cardiomyopathy (HCM)

Journal of Molecular Diagnostics(2021)10.1016/j.jmoldx.2021.01.014
Top 40%
0.481DataRank
Top 40%8 citations

Alexander Ing, Christian Antolik, Christina Austin‐Tse, Linnea M. Baudhuin, Lucas Bronicki +25 more

Papers

Driven by 18 papers — median percentile 51. Top paper: “In the Era of Precision Medicine and Big Data, Who Is Normal?”.

In the Era of Precision Medicine and Big Data, Who Is Normal?

JAMA(2018)10.1001/jama.2018.2009
N/A
6.0DataRank · unranked
101 citations

Chirag J. Patel, John P. A. Ioannidis, Arjun Kumar Manrai

Clinical Genomics

JAMA(2016)10.1001/jama.2016.1519
N/A
2.5DataRank · unranked
40 citations

John P. A. Ioannidis, Isaac S. Kohane, Arjun Kumar Manrai

To Do No Harm — and the Most Good — with AI in Health Care

NEJM AI(2024)10.1056/aip2400036
N/A
2.4DataRank · unranked
59 citations

Laura Adams, David Blumenthal, Patricia Flatley Brennan, Noah Brown, Atul Janardhan Butte +18 more

Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs)

Exposome(2024)10.1093/exposome/osae001
N/A
0.678DataRank · unranked
91 citations

John S. House, Farida S. Akhtari, Konstantinos C. Makris, Michael A. Langston, Khandaker Talat Islam +88 more

METHODS TO ENHANCE THE REPRODUCIBILITY OF PRECISION MEDICINE

Biocomputing 2016(2015)10.1142/9789814749411_0017
N/A
0.496DataRank · unranked
6 citations

Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, Isaac S. Kohane, John P. A. Ioannidis +1 more

Harmonizing the Collection of Clinical Data on Genetic Testing Requisition Forms to Enhance Variant Interpretation in Hypertrophic Cardiomyopathy (HCM)

Journal of Molecular Diagnostics(2021)10.1016/j.jmoldx.2021.01.014
Top 40%
0.481DataRank
Top 40%8 citations

Alexander Ing, Christian Antolik, Christina Austin‐Tse, Linnea M. Baudhuin, Lucas Bronicki +25 more

Signals Among Signals: Prioritizing Nongenetic Associations in Massive Data Sets

American Journal of Epidemiology(2019)10.1093/aje/kwz031
N/A
0.457DataRank · unranked
20 citations

John P. A. Ioannidis, Chirag J. Patel, Arjun Kumar Manrai

Using Big Data to Determine Reference Values for Laboratory Tests—Reply

JAMA(2018)10.1001/jama.2018.10956
N/A
0.344DataRank · unranked
3 citations

Chirag J. Patel, John P. A. Ioannidis, Arjun Kumar Manrai

An atlas of exposome-phenome associations in health and disease risk

medRxiv(2025)10.1101/2025.06.05.25329055
Top 59%
0.260DataRank
Top 59%3 citations

John P. A. Ioannidis, Arjun Kumar Manrai, Chirag J. Patel

Heterogeneity in elevated glucose and A1C as predictors of the prediabetes to diabetes transition: Framingham Heart Study, Multi-Ethnic Study on Atherosclerosis, Jackson Heart Study, and Atherosclerosis Risk In Communities

medRxiv(2024)10.1101/2024.03.16.24304398
N/A
0.189DataRank · unranked
2 citations

Edward W. Gregg, Ramachandran S. Vasan, Arjun Kumar Manrai, John P. A. Ioannidis, Chirag J. Patel

Scalable screening for emergency department missed opportunities for diagnosis using sequential eTriggers and large language models

medRxiv(2025)10.1101/2025.10.06.25337201
N/A
0DataRank · unranked
0 citations

Sean Gibney, Bryan A. Stenson, Deesha Sarma, Cynthia Gaudet, Haadi Mombini +13 more

Prediction of chronological and biological age from laboratory data

Aging(2020)10.18632/aging.102900
N/A
0DataRank · unranked
36 citations

Luke Melas-Kyriazi, Chirag J. Patel, Arjun Kumar Manrai, Luke Sagers

Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa068
N/A
0DataRank · unranked
30 citations

Carlos De Niz, Alba Gutiérrez‐Sacristán, Gabor Korodi, Nneka Ede, Ranjay Kumar +6 more

Leveraging vibration of effects analysis for robust discovery in observational biomedical data science

PLoS Biology(2021)10.1371/journal.pbio.3001398
N/A
0DataRank · unranked
35 citations

Elizabeth C. Anderson, Yingxuan Tan, Kajal Claypool, Sivateja Tangirala, Aleksandar D. Kostic +3 more

Positive Predictive Value of the Thumb-Palm Test for General Population Screening of Ascending Aortic Aneurysm

The American Journal of Cardiology(2021)10.1016/j.amjcard.2021.08.029
N/A
0DataRank · unranked
2 citations

Gloria J. Wu, Arjun Kumar Manrai, James A. Diao

Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors

Nature Communications(2023)10.1038/s41467-023-44047-8
N/A
0DataRank · unranked
30 citations

David C. Qian, James A. Diao, Michael H. Cho, Edwin K. Silverman, Alexander Gusev +4 more

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00224-3
N/A
0DataRank · unranked
134 citations

Joanne Palmer, Elinor Laws, Melissa D. McCradden, Johan Ordish, Marzyeh Ghassemi +45 more

Teaching large language models to reason like expert diagnosticians

ArXiv.org(2025)10.48550/arxiv.2509.12194
N/A
0DataRank · unranked
1 citations

Riccardo Conci, Peter G. Brodeur, Jason Gusdorf, Sourik Beltrán, Bita Behrouzi +18 more