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

Anoop Mayampurath

University of Wisconsin–Madison

ORCID: 0000-0002-3010-6960
MedicineComputer ScienceChemistry

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
1.7Author 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.

Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies

JAMIA Open(2023)10.1093/jamiaopen/ooad092
Top 32%
0.626DataRank
Top 32%13 citations

Madeline Oguss, Thomas Callaci, Timothy Gruenloh, Preeti Gupta, Claire Sun +13 more

Papers

Driven by 21 papers — median percentile 66. Top paper: “Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies”.

Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies

JAMIA Open(2023)10.1093/jamiaopen/ooad092
Top 32%
0.626DataRank
Top 32%13 citations

Madeline Oguss, Thomas Callaci, Timothy Gruenloh, Preeti Gupta, Claire Sun +13 more

Development and external validation of multimodal postoperative acute kidney injury risk machine learning models

JAMIA Open(2023)10.1093/jamiaopen/ooad109
Top 34%
0.574DataRank
Top 34%12 citations

Jay L. Koyner, John Caskey, Alexandra B. Spicer, Kyle A. Carey, Emily Gilbert +5 more

Development and external validation of deep learning clinical prediction models using variable-length time series data

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae088
Top 39%
0.494DataRank
Top 39%13 citations

Kyle A. Carey, Jennie Martin, Jay L. Koyner, Dana P. Edelson, Emily Gilbert +4 more

Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI

Clinical Journal of the American Society of Nephrology(2025)10.2215/cjn.0000000695
N/A
0.330DataRank · unranked
7 citations

Jennie Martin, Kyle A. Carey, John Caskey, Dana P. Edelson, Anoop Mayampurath +4 more

Multicenter Development and Validation of a Model for Predicting Retention in Care Among People with HIV

AIDS and Behavior(2022)10.1007/s10461-022-03672-y
N/A
0DataRank · unranked
16 citations

Aswathy Ajith, Eleanor E. Friedman, Michael J. Mugavero, Mari M. Kitahata, Heidi M. Crane +8 more

Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019

Resuscitation(2022)10.1016/j.resuscitation.2022.07.018
N/A
0DataRank · unranked
8 citations

Fereshteh S. Bashiri, Raffi Hagopian, Laura Ruth Venable, Kyle A. Carey, Dana P. Edelson +2 more

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research

Pediatric Critical Care Medicine(2023)10.1097/pcc.0000000000003425
N/A
0DataRank · unranked
28 citations

Sarah Walker, Andrea J. Fawcett, Tellen D. Bennett, Adam Dziorny, L. Nelson Sanchez‐Pinto +20 more

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae308
N/A
0DataRank · unranked
11 citations

Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop Mayampurath, Dmitriy Dligach +2 more

Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability

JAMIA Open(2024)10.1093/jamiaopen/ooae154
N/A
0DataRank · unranked
9 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +5 more

Multicenter Development and Validation of a Model for Predicting Retention in Care Among People with HIV

UNC Libraries(2024)10.17615/njzp-2922
N/A
0DataRank · unranked
0 citations

M.M Kitahata, E.R Cachay, K. Christopoulos, Jessica P. Ridgway, H.M Crane +8 more

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies

arXiv (Cornell University)(2024)10.48550/arxiv.2409.15163
N/A
0DataRank · unranked
0 citations

T. Miller, Yanjun Gao, Matthew M. Churpek, Anoop Mayampurath, Dmitriy Dligach +2 more

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability

arXiv (Cornell University)(2024)10.48550/arxiv.2411.04962
N/A
0DataRank · unranked
0 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +5 more

Evaluating clinical AI summaries with large language models as judges

npj Digital Medicine(2025)10.1038/s41746-025-02005-2
N/A
0DataRank · unranked
26 citations

Yanjun Gao, Elliot First, Nicholas Pellegrino, Miranda Schnier, John Caskey +12 more

MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling

npj Digital Medicine(2025)10.1038/s41746-025-02219-4
N/A
0DataRank · unranked
1 citations

Md Mahmudur Rahman, John Caskey, Madeline Oguss, Ann P. O’Rourke, Randall Brown +6 more

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients

medRxiv(2025)10.1101/2025.03.06.25322855
N/A
0DataRank · unranked
1 citations

Jennifer Martin, Kyle A. Carey, Dana P. Edelson, Dmitriy Dligach, Anoop Mayampurath +3 more

Designing a Substance Misuse Data Dashboard for Overdose Fatality Review Teams

medRxiv(2025)10.1101/2025.03.21.25324394
N/A
0DataRank · unranked
0 citations

Madeline Oguss, Julia Dickson‐Gómez, Constance Kostelac, Amy Elizabeth Parry, Starr H. Moss +11 more

Multicenter Validation of the Neonatal Sequential Organ Failure Assessment Score for Prognosis in the Neonatal Intensive Care Unit

The Journal of Pediatrics(2021)10.1016/j.jpeds.2021.05.037
N/A
0DataRank · unranked
33 citations

Anoop Mayampurath, Kyle A. Carey, Susan M. Slattery, Bree Andrews, L. Nelson Sanchez‐Pinto +1 more

Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care

medRxiv(2025)10.1101/2025.08.08.25333315
N/A
0DataRank · unranked
0 citations

John Caskey, Yanjun Gao, Matthew M. Churpek, Timothy A. Miller, Anoop Mayampurath +4 more

Increase in Epinephrine Administration for Food-Induced Anaphylaxis in Pediatric Emergency Departments From 2007 to 2015

The Journal of Allergy and Clinical Immunology In Practice(2021)10.1016/j.jaip.2021.09.024
N/A
0DataRank · unranked
10 citations

Ragha Suresh, Anoop Mayampurath, Christina E. Ciaccio, So Lim Kim

Predicting response to chemotherapy in neuroblastoma using deep learning: A report from the International Neuroblastoma Risk Group.

Journal of Clinical Oncology(2021)10.1200/jco.2021.39.15_suppl.10039
N/A
0DataRank · unranked
2 citations

Diana Michael, Liu Liu, Nicholas Feinberg, Meaghan Granger, Arlene Naranjo +5 more

Early Diagnosis of Primary Immunodeficiency Disease Using Clinical Data and Machine Learning

The Journal of Allergy and Clinical Immunology In Practice(2022)10.1016/j.jaip.2022.08.041
N/A
0DataRank · unranked
39 citations

Aswathy Ajith, Colin Anderson‐Smits, Shun‐Chiao Chang, Emily Brouwer, Julie K. Johnson +5 more