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

Brett Smith

Institute for Systems Biology

ORCID: 0000-0002-2586-5014

Also affiliated with Systems Biology Institute

MedicineBiochemistry, 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 2%percentile
3.3Author 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.

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Bioinformatics(2023)10.1093/bioinformatics/btad080
Top 10%
2.1DataRank
Top 10%95 citations

Karthik Soman, Rabia E Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng +22 more

Papers

Driven by 15 papers — median percentile 87. Top paper: “Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19”.

Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19

Cell(2020)10.1016/j.cell.2020.10.037
N/A
9.7DataRank · unranked
643 citations

Daniel Chen, Dan Yuan, Christopher Lausted, Jongchan Choi, Chengzhen L. Dai +50 more

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Bioinformatics(2023)10.1093/bioinformatics/btad080
Top 10%
2.1DataRank
Top 10%95 citations

Karthik Soman, Rabia E Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng +22 more

Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity

medRxiv(2020)10.1101/2020.10.14.20212803
Top 17%
1.2DataRank
Top 17%15 citations

Sergey A. Kornilov, Ryan Roper, Hannah Cohen‐Cline, Kathleen Jade, Brett Smith +6 more

Characteristics and Factors Associated With Coronavirus Disease 2019 Infection, Hospitalization, and Mortality Across Race and Ethnicity

Clinical Infectious Diseases(2021)10.1093/cid/ciab154
N/A
0DataRank · unranked
60 citations

Sergey A. Kornilov, Ryan Roper, Hannah Cohen‐Cline, Kathleen Jade, Brett Smith +6 more

Heterogeneous immunological recovery trajectories revealed in post-acute COVID-19

medRxiv(2021)10.1101/2021.03.19.21254004
N/A
0DataRank · unranked
3 citations

Dan Yuan, Daniel Chen, Kai Wang, Jongchan Choi, Chengzhen L. Dai +51 more

Multiple early factors anticipate post-acute COVID-19 sequelae

Cell(2022)10.1016/j.cell.2022.01.014
N/A
0DataRank · unranked
1206 citations

Dan Yuan, Daniel Chen, Raymond T. Ng, Kai Wang, Jongchan Choi +68 more

Genome–microbiome interplay provides insight into the determinants of the human blood metabolome

Nature Metabolism(2022)10.1038/s42255-022-00670-1
N/A
0DataRank · unranked
100 citations

Chengzhen L. Dai, Tomasz Wilmanski, Priyanka Baloni, Brett Smith, Noa Rappaport +4 more

A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology

AI Magazine(2022)10.1609/aimag.v43i1.19125
N/A
0DataRank · unranked
9 citations

Katy Börner, John P. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer +15 more

A biomedical open knowledge network harnesses the power of AI to understand deep human biology

AI Magazine(2022)10.1002/aaai.12037
N/A
0DataRank · unranked
8 citations

Katy Börner, John P. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer +15 more

Genome-microbiome interplay provides insight into the determinants of the human blood metabolome

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.04.479172
N/A
0DataRank · unranked
8 citations

Chengzhen L. Dai, Tomasz Wilmanski, Priyanka Baloni, Brett Smith, Noa Rappaport +4 more

Biomedical knowledge graph-optimized prompt generation for large language models

arXiv (Cornell University)(2023)10.48550/arxiv.2311.17330
N/A
0DataRank · unranked
6 citations

Peter W. Rose, John H. Morris, Rabia E Akbas, Brett Smith, Braian Peetoom +9 more

Biomedical knowledge graph-optimized prompt generation for large language models

Bioinformatics(2024)10.1093/bioinformatics/btae560
N/A
0DataRank · unranked
111 citations

Peter W. Rose, John H. Morris, Rabia E Akbas, Brett Smith, Braian Peetoom +9 more

APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence

Nature Communications(2025)10.1038/s41467-025-56659-3
N/A
0DataRank · unranked
7 citations

Daniel Chen, William Chour, Raymond T. Ng, Rongyu Zhang, Dan Yuan +26 more

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection Trajectories

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.27.224063
N/A
0DataRank · unranked
17 citations

Daniel Chen, Christopher Lausted, Dan Yuan, Jongchan Choi, Cheng Dai +44 more

Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19

Nature Biotechnology(2021)10.1038/s41587-021-01020-4
N/A
0DataRank · unranked
119 citations

Yapeng Su, Priyanka Baloni, Daniel Chen, Ana Jimena Pavlovitch-Bedzyk, Dan Yuan +19 more