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

Mirza S. Khan

American Heart Institute

ORCID: 0000-0001-7007-9437

Also affiliated with Health Innovations (United States), Saint Luke's Hospital

Medicine

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
0.507Author 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.

Inference-based correction of multi-site height and weight measurement data in the All of Us research program

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab251
Top 38%
0.507DataRank
Top 38%7 citations

Robert J. Carroll, Mirza S. Khan

Papers

Driven by 8 papers — median percentile 62. Top paper: “AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection”.

AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection

Radiology(2023)10.1148/radiol.222937
N/A
2.4DataRank · unranked
67 citations

Mirza S. Khan, Thomas Li, Riqiang Gao, James G. Terry, Yuankai Huo +6 more

Inference-based correction of multi-site height and weight measurement data in the All of Us research program

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab251
Top 38%
0.507DataRank
Top 38%7 citations

Robert J. Carroll, Mirza S. Khan

Interpreting Population Mean Treatment Effects in the Kansas City Cardiomyopathy Questionnaire

JAMA Cardiology(2024)10.1001/jamacardio.2024.4470
N/A
0.330DataRank · unranked
8 citations

Philip G. Jones, Suzanne V. Arnold, David J. Cohen, Charles Sherrod, Mirza S. Khan +4 more

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

arXiv (Cornell University)(2023)10.48550/arxiv.2304.02836
N/A
0DataRank · unranked
0 citations

John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan +9 more

Generalizable Approach to Quantifying Guideline-Directed Medical Therapy

Circulation Heart Failure(2024)10.1161/circheartfailure.123.011164
N/A
0DataRank · unranked
21 citations

Paul S. Chan, Charles Sherrod, Nobuhiro Ikemura, Andrew J. Sauer, Philip G. Jones +6 more

Health status outcomes after acute myocardial infarction in patients without standard modifiable risk factors

American Heart Journal(2024)10.1016/j.ahj.2024.11.018
N/A
0DataRank · unranked
0 citations

Paul S. Chan, Kensey Gosch, Dan Nguyen, Charles F Sherrod, Mirza S. Khan +5 more

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.106113
N/A
0DataRank · unranked
21 citations

Thomas Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer +8 more

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification

Lecture notes in computer science(2023)10.1007/978-3-031-43895-0_61
N/A
0DataRank · unranked
17 citations

John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan +9 more