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

Michelle M. Li

Harvard University

ORCID: 0000-0003-0223-7485

Also affiliated with Family Research Institute

Biochemistry, Genetics and Molecular BiologyComputer 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 4%percentile
0.621Author 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.

Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.12.598655
Top 32%
0.621DataRank
Top 32%14 citations

Xiang Lin, Michelle M. Li, Kexin Huang, Wenhao Gao, Tianfan Fu +4 more

Papers

Driven by 14 papers — median percentile 68. Top paper: “Current and future directions in network biology”.

Current and future directions in network biology

Bioinformatics Advances(2024)10.1093/bioadv/vbae099
N/A
1.6DataRank · unranked
100 citations

Michelle M. Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Krishnan, Arjun +32 more

Microbiota dynamics in a randomized trial of gut decontamination during allogeneic hematopoietic cell transplantation

JCI Insight(2022)10.1172/jci.insight.154344
N/A
0.920DataRank · unranked
30 citations

Benjamin A. Siranosian, Sandra Kong, Ángel Moreno, Michelle M. Li, Nan Chen +16 more

Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.12.598655
Top 32%
0.621DataRank
Top 32%14 citations

Xiang Lin, Michelle M. Li, Kexin Huang, Wenhao Gao, Tianfan Fu +4 more

Simulation of undiagnosed patients with novel genetic conditions

Nature Communications(2023)10.1038/s41467-023-41980-6
N/A
0.413DataRank · unranked
10 citations

Samuel G. Finlayson, Michelle M. Li, Undiagnosed Diseases Network, Shilpa N. Kobren, Isaac S. Kohane +1 more

ProCyon: A multimodal foundation model for protein phenotypes

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.10.627665
N/A
0.391DataRank · unranked
8 citations

Yepeng Huang, Robert Calef, Valentina Giunchiglia, Tianlong Chen, George Dasoulas +19 more

Contextual AI models for single-cell protein biology

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.18.549602
N/A
0.360DataRank · unranked
10 citations

Yepeng Huang, Marissa Sumathipala, Man Liang, Alberto Valdeolivas, Ashwin N. Ananthakrishnan +4 more

Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths

Bioinformatics(2023)10.1093/bioinformatics/btad297
N/A
0.330DataRank · unranked
8 citations

Michelle M. Li, Amelia L.M. Tan, Marinka Zitnik, Ayush Noori

Current and future directions in network biology

arXiv (Cornell University)(2023)10.48550/arxiv.2309.08478
N/A
0.208DataRank · unranked
3 citations

Michelle M. Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Krishnan, Arjun +32 more

Randomized controlled trial of gut decontamination in pediatric patients undergoing allogeneic hematopoietic cell transplantation

medRxiv(2021)10.1101/2021.12.16.21267940
N/A
0DataRank · unranked
0 citations

Benjamin A. Siranosian, Sandra Kong, Ángel Moreno, Michelle M. Li, Nan Chen +15 more

Simulation of undiagnosed patients with novel genetic conditions

medRxiv(2022)10.1101/2022.08.22.22279073
N/A
0DataRank · unranked
0 citations

Samuel G. Finlayson, Michelle M. Li, Undiagnosed Diseases Network, Shilpa N. Kobren, Isaac S. Kohane +1 more

RNA markers for ultra-rapid molecular antimicrobial susceptibility testing in fluoroquinolone-treated Klebsiella pneumoniae

Journal of Antimicrobial Chemotherapy(2020)10.1093/jac/dkaa078
N/A
0DataRank · unranked
12 citations

M Hashemi, Nadya Andini, Michelle M. Li, Shuzhen Kuang, Karen C. Carroll +3 more

Graph Artificial Intelligence in Medicine

Annual Review of Biomedical Data Science(2024)10.1146/annurev-biodatasci-110723-024625
N/A
0DataRank · unranked
32 citations

Michelle M. Li, Ayush Noori, Owen Queen, Marinka Zitnik, Ruth Johnson

Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

npj Digital Medicine(2025)10.1038/s41746-025-01749-1
N/A
0DataRank · unranked
28 citations

Michelle M. Li, Shilpa N. Kobren, Ayush Noori, Undiagnosed Diseases Network, Isaac S. Kohane +2 more

Graph AI in Medicine

arXiv (Cornell University)(2023)10.48550/arxiv.2310.13767
N/A
0DataRank · unranked
0 citations

Michelle M. Li, Ayush Noori, Owen Queen, Marinka Zitnik, Ruth Johnson