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

Indra Neil Sarkar

Brown University

ORCID: 0000-0003-2054-7356
Biochemistry, Genetics and Molecular BiologyHealth Professions

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
0.637Author 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.

Learning health system linchpins: information exchange and a common data model

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae277
Top 47%
0.389DataRank
Top 47%7 citations

Elizabeth Chen, Wen‐Chih Wu, Karen M Crowley, Dilum P. Aluthge, Katherine A. Brown +2 more

Papers

Driven by 21 papers — median percentile 47. Top paper: “Biomedical informatics and translational medicine”.

Biomedical informatics and translational medicine

Journal of Translational Medicine(2010)10.1186/1479-5876-8-22
N/A
5.6DataRank · unranked
102 citations

Indra Neil Sarkar

Translational bioinformatics: linking knowledge across biological and clinical realms: Figure 1

Journal of the American Medical Informatics Association(2011)10.1136/amiajnl-2011-000245
N/A
3.3DataRank · unranked
65 citations

Atul Janardhan Butte, Yves A. Lussier, Peter Tarczy-Hornoch, Peter Tarczy‐Hornoch, Lucila Ohno‐Machado +1 more

Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma

Cell Metabolism(2023)10.1016/j.cmet.2023.07.012
N/A
0.609DataRank · unranked
57 citations

Aaron S. Eisman, Usman A. Tahir, Daniel H. Katz, Shuliang Deng, Debby Ngo +35 more

Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR

Journal of Vascular and Interventional Radiology(2020)10.1016/j.jvir.2019.11.030
N/A
0.489DataRank · unranked
25 citations

Dilum P. Aluthge, Elizabeth Chen, Indra Neil Sarkar, Sun Ho Ahn, Ishan Sinha

Using the Montreal cognitive assessment to identify individuals with subtle cognitive decline.

Neuropsychology(2022)10.1037/neu0000820
N/A
0.425DataRank · unranked
16 citations

Shanti Mechery, Matthew M. Carper, Louisa I. Thompson, Athene Lee, Jessica Alber +3 more

Learning health system linchpins: information exchange and a common data model

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae277
Top 47%
0.389DataRank
Top 47%7 citations

Elizabeth Chen, Wen‐Chih Wu, Karen M Crowley, Dilum P. Aluthge, Katherine A. Brown +2 more

GenBank as a source to monitor and analyze Host-Microbiome data

Bioinformatics(2022)10.1093/bioinformatics/btac487
Top 60%
0.248DataRank
Top 60%3 citations

Shanti Mechery, Indra Neil Sarkar, Vivek Ramanan

LYRUS: A Machine Learning Model for Predicting the Pathogenicity of Missense Variants

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.10.443497
N/A
0.165DataRank · unranked
2 citations

Jordan Yang, Ece D. Gamsiz Uzun, Brenda M. Rubenstein, Indra Neil Sarkar, Jiaying Lai

Who's in control? Situating expertise, (mis)trust, and power among the Latine/Hispanic community in COVID-19's liminal moments

Social Science & Medicine(2024)10.1016/j.socscimed.2024.117027
N/A
0DataRank · unranked
4 citations

A. Rani Elwy, Rochelle K. Rosen, Mario Bueno, Indra Neil Sarkar, Grace Smith

Augmenting bacterial similarity measures using a graph-based genome representation

mSystems(2024)10.1128/msystems.00497-24
N/A
0DataRank · unranked
1 citations

Indra Neil Sarkar, Vivek Ramanan

Augmenting Bacterial Similarity Measures Using a Graph-Based Genome Representation

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.08.588602
N/A
0DataRank · unranked
0 citations

Indra Neil Sarkar, Vivek Ramanan

Reductions in Blood Lead Level Screening During Peak COVID‐19 Restrictions and Beyond

Public Health Challenges(2025)10.1002/puh2.70021
N/A
0DataRank · unranked
0 citations

Jonah Bradenday, Elizabeth Chen, Mark R. Zonfrillo, Indra Neil Sarkar, Meghan McCarthy

“They fell through the cracks:” caregiver perspectives on the difficulties of COVID-19 implementation transitions for children and youth with special healthcare needs (CYSHCN)

Frontiers in Pediatrics(2025)10.3389/fped.2025.1440680
N/A
0DataRank · unranked
0 citations

Mary Kathryn Cancilliere, Tara M. Hayes, A. Rani Elwy, Indra Neil Sarkar, Grace Smith

Building a collaborative ecosystem across the IDeA-CTR networks in response to a public health emergency

Journal of Clinical and Translational Science(2025)10.1017/cts.2025.10098
N/A
0DataRank · unranked
0 citations

Sharon Patrick, Amber Abel, Bradley S. Price, Elizabeth Reisher, Kent Ripplinger +20 more

Selected proceedings of the First Summit on Translational Bioinformatics 2008

BMC Bioinformatics(2009)10.1186/1471-2105-10-s2-i1
N/A
0DataRank · unranked
0 citations

Indra Neil Sarkar, Marco F. Ramoni, Yves A. Lussier, Olga G. Troyanskaya, Atul Janardhan Butte

Identifying Herbal Adverse Events From Spontaneous Reporting Systems Using Taxonomic Name Resolution Approach

Bioinformatics and Biology Insights(2020)10.1177/1177932220921350
N/A
0DataRank · unranked
14 citations

Luiz Fernando Fracassi Gelin, Indra Neil Sarkar, Vivekanand Sharma

Curated multiple sequence alignment for the Adenomatous Polyposis Coli (APC) gene and accuracy of in silico pathogenicity predictions

PLoS ONE(2020)10.1371/journal.pone.0233673
N/A
0DataRank · unranked
3 citations

Dylan J. Martini, David J. Hermel, Dana Solcz, Marcy E. Richardson, Tina Pesaran +3 more

LYRUS: a machine learning model for predicting the pathogenicity of missense variants

Bioinformatics Advances(2021)10.1093/bioadv/vbab045
N/A
0DataRank · unranked
16 citations

Jordan Yang, Ece D. Gamsiz Uzun, Brenda M. Rubenstein, Indra Neil Sarkar, Jiaying Lai

Diet and Domestication Drive Evolution of the Gut Holobiome

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.14.464420
N/A
0DataRank · unranked
0 citations

Shanti Mechery, Indra Neil Sarkar, Vivek Ramanan

Access to community-based reproductive health services and incidence of low birthweight delivery among refugee and displaced mothers: a retrospective study in the Thailand-Myanmar border region

BMJ Open(2022)10.1136/bmjopen-2021-052571
N/A
0DataRank · unranked
4 citations

Cynthia Maung, Sophia Hla, Hsa Moo Moo, Saw Lwin, Catherine Bruck +5 more

Characterizing suicidal ideation, suicidal behaviors, and service utilization among unhoused individuals using a health information exchange

Journal of Clinical Psychology(2023)10.1002/jclp.23566
N/A
0DataRank · unranked
5 citations

Sarah A. Arias, Zachary J. Kunicki, Indra Neil Sarkar, Elizabeth S. Chen, Zandra V. Ho