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

Chengsheng Mao

Northwestern University

ORCID: 0000-0002-1515-9626

Also affiliated with Midwestern University, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University

Computer ScienceMedicineBiochemistry, 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 3%percentile
1.5Author DataRank

Indexed papers

3in 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 3 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.

SOAR elucidates disease mechanisms and empowers drug discovery through spatial transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.17.488596
Top 26%
0.773DataRank
Top 26%15 citations

Saya Dennis, Meghan R. Hutch, Yanyi Ding, Yadi Zhou, Yawei Li +9 more

Papers

Driven by 22 papers — median percentile 55. Top paper: “Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2”.

Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2

Nature Communications(2022)10.1038/s41467-021-27893-2
N/A
4.1DataRank · unranked
170 citations

Andrew D. Hoffmann, Nurmaa K. Dashzeveg, Kathleen M. McAndrews, Paul J. Mehl, Daphne Cornish +31 more

SOAR elucidates disease mechanisms and empowers drug discovery through spatial transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.17.488596
Top 26%
0.773DataRank
Top 26%15 citations

Saya Dennis, Meghan R. Hutch, Yanyi Ding, Yadi Zhou, Yawei Li +9 more

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

medRxiv(2020)10.1101/2020.12.16.20247684
N/A
0.449DataRank · unranked
19 citations

Chuan Hong, Nathan Palmer, Paul Avillach, Shawn N. Murphy, Alba Gutiérrez‐Sacristán +80 more

Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system

Learning Health Systems(2024)10.1002/lrh2.10417
Top 45%
0.407DataRank
Top 45%10 citations

Chengsheng Mao, L. Nelson Sanchez‐Pinto, Faraz S. Ahmad, Andrew M. Naidech, Luke V. Rasmussen +29 more

Correction: A common longitudinal intensive care unit data format (CLIF) for critical illness research

Intensive Care Medicine(2025)10.1007/s00134-025-07869-2
Top 49%
0.359DataRank
Top 49%4 citations

Patrick G. Lyons, K. Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour +23 more

Sepsis subphenotyping based on organ dysfunction trajectory

Critical Care(2022)10.1186/s13054-022-04071-4
N/A
0DataRank · unranked
97 citations

Chengsheng Mao, Chang Su, Hao Zhang, Ilias Ι. Siempos, Lisa K. Torres +5 more

ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3153322
N/A
0DataRank · unranked
91 citations

Liang Yao, Yuan Luo, Chengsheng Mao

MedGCN: Medication recommendation and lab test imputation via graph convolutional networks

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104000
N/A
0DataRank · unranked
61 citations

Liang Yao, Yuan Luo, Chengsheng Mao

Transcriptomics-based network medicine approach identifies metformin as a repurposable drug for atrial fibrillation

Cell Reports Medicine(2022)10.1016/j.xcrm.2022.100749
N/A
0DataRank · unranked
48 citations

Chengsheng Mao, Yadi Zhou, Shamone R. Gore-Panter, Julie H. Rennison, Beth Lovano +10 more

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104442
N/A
0DataRank · unranked
65 citations

Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco +8 more

Unique molecular signatures sustained in circulating monocytes and regulatory T cells in convalescent COVID-19 patients

Clinical Immunology(2023)10.1016/j.clim.2023.109634
N/A
0DataRank · unranked
35 citations

Sam E Weinberg, Suchitra Swaminathan, Shuvam Chaudhuri, Hannah F. Almubarak, Matthew J. Schipma +18 more

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Scientific Reports(2023)10.1038/s41598-023-35258-6
N/A
0DataRank · unranked
11 citations

Fei Wang, Chengxi Zang, Hao Zhang, Kellyann Niotis, Ava L. Liberman +14 more

A Common Longitudinal Intensive Care Unit data Format (CLIF) to enable multi-institutional federated critical illness research

medRxiv(2024)10.1101/2024.09.04.24313058
N/A
0DataRank · unranked
4 citations

Patrick G. Lyons, K. Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour +19 more

Real‐world observations of GLP‐1 receptor agonists and SGLT‐2 inhibitors as potential treatments for Alzheimer's disease

Alzheimer s & Dementia(2025)10.1002/alz.70639
N/A
0DataRank · unranked
16 citations

Chengsheng Mao, Anna Sun, Yuedi Yang, Yuan Hou, Zhimin Fu +7 more

AKI-BERT: a pre-trained clinical language model for early prediction of acute kidney injury

BMC Medical Informatics and Decision Making(2025)10.1186/s12911-025-03095-4
N/A
0DataRank · unranked
2 citations

Liang Yao, Yuan Luo, Chengsheng Mao

PH-LLM: Public Health Large Language Models for Infoveillance

medRxiv(2025)10.1101/2025.02.08.25321587
N/A
0DataRank · unranked
7 citations

Jiaqi Zhou, Chiyu Wang, Qianqian Xie, Kaize Ding, Chengsheng Mao +8 more

Identification of immune signatures associated with both SARS-CoV-2 infection and lung transplantation

Cell Reports Medicine(2025)10.1016/j.xcrm.2025.102262
N/A
0DataRank · unranked
0 citations

Hannah F. Almubarak, Radhika Iyer, Sam E Weinberg, Joshua R Squires, Chengsheng Mao +13 more

The Epidemiology of ICU Readmissions Across Ten Health Systems

Critical Care Explorations(2025)10.1097/cce.0000000000001341
N/A
0DataRank · unranked
0 citations

Vaishvik Chaudhari, K. Chhikara, Nicholas E. Ingraham, Chad H. Hochberg, Anna Barker +16 more

Deep learning for cancer type classification and driver gene identification

BMC Bioinformatics(2021)10.1186/s12859-021-04400-4
N/A
0DataRank · unranked
43 citations

Chengsheng Mao, Andy H. Vo, Xiaoyu Li, Janna Ore Nugent, Seema A. Khan +3 more

Sepsis Subphenotyping Based on Organ Dysfunction Trajectory

medRxiv(2021)10.1101/2021.06.14.21258918
N/A
0DataRank · unranked
9 citations

Chengsheng Mao, Chang Su, Hao Zhang, Ilias Ι. Siempos, Lisa K. Torres +5 more

A comprehensive SARS-CoV-2–human protein–protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets

Nature Biotechnology(2022)10.1038/s41587-022-01474-0
N/A
0DataRank · unranked
203 citations

Yuan Liu, Shagun Gupta, Mauricio I. Paramo, Yuan Hou, Chengsheng Mao +18 more

Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s disease

Cell Reports(2022)10.1016/j.celrep.2022.111717
N/A
0DataRank · unranked
106 citations

Chengsheng Mao, Yuan Hou, Yuan Luo, Jessica Binder, Yadi Zhou +12 more