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

Xiaoxi Yao

Mayo Clinic in Arizona

ORCID: 0000-0001-9906-7106

Also affiliated with Mayo Clinic in Florida

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 3%percentile
0.944Author 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.

Emulating the GRADE trial using real world data: retrospective comparative effectiveness study

BMJ(2022)10.1136/bmj-2022-070717
Top 21%
0.944DataRank
Top 21%25 citations

Eric C. Polley, Joshua D. Wallach, Sanket S. Dhruva, Jeph Herrin, Kenneth Quinto +9 more

Papers

Driven by 15 papers — median percentile 79. Top paper: “Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial”.

Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial

Nature Medicine(2024)10.1038/s41591-024-03243-9
N/A
1.1DataRank · unranked
45 citations

Andrea Carolina Morales-Lara, Bosede Bukola Afolabi, Oyewole A. Kushimo, Amam Mbakwem, Kehinde F. Ibiyemi +33 more

Emulating the GRADE trial using real world data: retrospective comparative effectiveness study

BMJ(2022)10.1136/bmj-2022-070717
Top 21%
0.944DataRank
Top 21%25 citations

Eric C. Polley, Joshua D. Wallach, Sanket S. Dhruva, Jeph Herrin, Kenneth Quinto +9 more

Renal Outcomes in Patients with Systolic Heart Failure Treated With Sacubitril-Valsartan or Angiotensin Converting Enzyme Inhibitor/Angiotensin Receptor Blocker

Mayo Clinic Proceedings Innovations Quality & Outcomes(2021)10.1016/j.mayocpiqo.2020.10.008
N/A
0.312DataRank · unranked
7 citations

Yihong Deng, Xiaoxi Yao, Lindsey R. Sangaralingham, Nilay D. Shah, Andrew D. Rule +4 more

Contemporary trends and barriers to oral anticoagulation therapy in Non-valvular atrial fibrillation during DOAC predominant era

IJC Heart & Vasculature(2023)10.1016/j.ijcha.2023.101212
N/A
0.312DataRank · unranked
7 citations

Anthony H. Kashou, Holly K. Van Houten, K. Roger Cohen, Henry J. Henk, Bernard J. Gersh +7 more

Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown Source

Journal of Stroke and Cerebrovascular Diseases(2021)10.1016/j.jstrokecerebrovasdis.2021.105998
N/A
0DataRank · unranked
39 citations

Micah D. Yost, Louis Faust, Anthony H. Kashou, Omar Latif, Jonathan Graff‐Radford +5 more

Generalizability of the EAST‐AFNET 4 Trial: Assessing Outcomes of Early Rhythm‐Control Therapy in Patients With Atrial Fibrillation

Journal of the American Heart Association(2022)10.1161/jaha.121.024214
N/A
0DataRank · unranked
43 citations

Paulus Kirchhof, Holly K. Van Houten, Lindsey R. Sangaralingham, Leon Dinshaw, Paul A. Friedman +4 more

Emulating the GRADE Trial Using Real-World Data

medRxiv(2022)10.1101/2022.05.23.22275392
N/A
0DataRank · unranked
2 citations

Eric C. Polley, Joshua D. Wallach, Sanket S. Dhruva, Jeph Herrin, Kenneth Quinto +9 more

The Digitization and Decentralization of Clinical Trials

Mayo Clinic Proceedings(2023)10.1016/j.mayocp.2022.10.001
N/A
0DataRank · unranked
39 citations

Peter A. Noseworthy, Xiaoxi Yao, David Harmon

Physicians' perspectives on percutaneous left atrial appendage occlusion for patients with atrial fibrillation

American Heart Journal(2023)10.1016/j.ahj.2023.07.013
N/A
0DataRank · unranked
4 citations

Holly K. Van Houten, Kelli Walvatne, Emma Behnken, Mohamad Adnan Alkhouli, Jonathan Graff-Radford +7 more

Assessing Artificial Intelligence Solution Effectiveness: The Role of Pragmatic Trials

Mayo Clinic Proceedings Digital Health(2024)10.1016/j.mcpdig.2024.06.010
N/A
0DataRank · unranked
8 citations

Peter A. Noseworthy, Xiaoxi Yao, Mauricio F. Jin

Artificial Intelligence–Electrocardiography to Predict Incident Atrial Fibrillation

Circulation Arrhythmia and Electrophysiology(2020)10.1161/circep.120.009355
N/A
0DataRank · unranked
126 citations

Jonathan Graff‐Radford, Camden Lopez, Xiaoxi Yao, Zachi I. Attia, Alejandro A. Rabinstein +9 more

Causal Machine Learning for Left Atrial Appendage Occlusion in Patients With Atrial Fibrillation

JACC. Clinical electrophysiology(2025)10.1016/j.jacep.2024.12.013
N/A
0DataRank · unranked
8 citations

Nan Zhang, Holly K. Van Houten, David R. Holmes, Jonathan Graff-Radford, Mohamad Alkhouli +4 more

Generalizability of the CASTLE-AF trial: Catheter ablation for patients with atrial fibrillation and heart failure in routine practice

Heart Rhythm(2020)10.1016/j.hrthm.2020.02.030
N/A
0DataRank · unranked
72 citations

Holly K. Van Houten, Bernard J. Gersh, Douglas L. Packer, Paul A. Friedman, Nilay D. Shah +5 more

Long-Term Outcomes of Acute Myocardial Infarction With Concomitant Cardiogenic Shock and Cardiac Arrest

The American Journal of Cardiology(2020)10.1016/j.amjcard.2020.07.044
N/A
0DataRank · unranked
39 citations

Stephanie Payne, Jacob C. Jentzer, Lindsey R. Sangaralingham, Xiaoxi Yao, Kianoush Kashani +4 more

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.10703
N/A
0DataRank · unranked
52 citations

Neena S. Abraham, Xiaoxi Yao, Peter A. Noseworthy, Jonathan Inselman, Nilay D. Shah +2 more