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

Monika E. Grabowska

Vanderbilt University Medical Center

ORCID: 0000-0003-0708-676X
Computer ScienceMedicineBiochemistry, 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 5%percentile
0.379Author 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.

Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study

JAMIA Open(2024)10.1093/jamiaopen/ooaf006
Top 48%
0.379DataRank
Top 48%5 citations

Monika E. Grabowska, V. Eric Kerchberger, Wei‐Qi Wei, Nicholas C Wan

Papers

Driven by 12 papers — median percentile 52. Top paper: “Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation”.

Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation

npj Digital Medicine(2024)10.1038/s41746-024-01038-3
N/A
0.626DataRank · unranked
64 citations

Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen, Dan M. Roden +7 more

Computational model of cardiomyocyte apoptosis identifies mechanisms of tyrosine kinase inhibitor-induced cardiotoxicity

Journal of Molecular and Cellular Cardiology(2021)10.1016/j.yjmcc.2021.02.014
N/A
0.524DataRank · unranked
32 citations

Bryan Chun, Raquel Moya, Jeffrey J. Saucerman, Monika E. Grabowska

Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study

JAMIA Open(2024)10.1093/jamiaopen/ooaf006
Top 48%
0.379DataRank
Top 48%5 citations

Monika E. Grabowska, V. Eric Kerchberger, Wei‐Qi Wei, Nicholas C Wan

Multi-omics analysis reveals aspirin is associated with reduced risk of Alzheimer’s disease

medRxiv(2025)10.1101/2025.04.07.25325038
N/A
0.104DataRank · unranked
1 citations

Avi U. Vaidya, Xue Zhong, Chris Guardo, Alyson L. Dickson, Mojgan Babanejad +10 more

Leveraging Generative AI to Prioritize Drug Repurposing Candidates: Validating Identified Candidates for Alzheimer’s Disease in Real-World Clinical Datasets

medRxiv(2023)10.1101/2023.07.07.23292388
N/A
0DataRank · unranked
0 citations

Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen, Dan M. Roden +7 more

ConceptWAS: a high-throughput method for early identification of COVID-19 presenting symptoms

medRxiv(2020)10.1101/2020.11.06.20227165
N/A
0DataRank · unranked
2 citations

Monika E. Grabowska, V. Eric Kerchberger, Joshua Smith, Hatice Nur Eken, Qiping Feng +5 more

Transformer patient embedding using electronic health records enables patient stratification and progression analysis

npj Digital Medicine(2025)10.1038/s41746-025-01872-z
N/A
0DataRank · unranked
10 citations

Monika E. Grabowska, Iftikhar J. Kullo, Yuan Luo, Jordan W. Smoller, Theresa L. Walunas +5 more

Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf055
N/A
0DataRank · unranked
2 citations

Monika E. Grabowska, Rut Thakkar, Alyson L. Dickson, Peter J. Embí, Qiping Feng +5 more

Developing and Evaluating Pediatric Phecodes (Peds-Phecodes) for High-Throughput Phenotyping Using Electronic Health Records

medRxiv(2023)10.1101/2023.08.22.23294435
N/A
0DataRank · unranked
0 citations

Sara L. Van Driest, Jamie R. Robinson, Anna E. Patrick, Chris Guardo, Srushti Gangireddy +6 more

Drug repurposing for Alzheimer’s disease from 2012–2022—a 10-year literature review

Frontiers in Pharmacology(2023)10.3389/fphar.2023.1257700
N/A
0DataRank · unranked
53 citations

Annabelle Huang, Zhexing Wen, Bingshan Li, Wei‐Qi Wei, Monika E. Grabowska

Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad233
N/A
0DataRank · unranked
8 citations

Sara L. Van Driest, Jamie R. Robinson, Anna E. Patrick, Chris Guardo, Srushti Gangireddy +6 more

Leveraging Generative AI to Prioritize Drug Repurposing Candidates: Validating Identified Candidates for Alzheimer's Disease in Real-World Clinical Datasets

Research Square(2023)10.21203/rs.3.rs-3125859/v1
N/A
0DataRank · unranked
5 citations

Chao Yan, Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen +7 more