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

Anping Xie

Johns Hopkins University

ORCID: 0000-0002-7306-5257

Also affiliated with Johns Hopkins Medicine, Zhujiang Hospital, Henan Cancer Hospital, Southern Medical University, National Patient Safety Foundation

Biochemistry, Genetics and Molecular BiologyMedicineHealth 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
0.372Author 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.

A Survey of PICU Clinician Practices and Perceptions regarding Respiratory Cultures in the Evaluation of Ventilator-Associated Infections in the BrighT STAR Collaborative

Pediatric Critical Care Medicine(2023)10.1097/pcc.0000000000003379
Top 48%
0.372DataRank
Top 48%7 citations

Danielle W. Koontz, Anping Xie, Daniel P. Kelly, Charlotte Woods-Hill, Anushree Aneja +6 more

Papers

Driven by 7 papers — median percentile 52. Top paper: “A Survey of PICU Clinician Practices and Perceptions regarding Respiratory Cultures in the Evaluation of Ventilator-Associated Infections in the BrighT STAR Collaborative”.

A Survey of PICU Clinician Practices and Perceptions regarding Respiratory Cultures in the Evaluation of Ventilator-Associated Infections in the BrighT STAR Collaborative

Pediatric Critical Care Medicine(2023)10.1097/pcc.0000000000003379
Top 48%
0.372DataRank
Top 48%7 citations

Danielle W. Koontz, Anping Xie, Daniel P. Kelly, Charlotte Woods-Hill, Anushree Aneja +6 more

Comparison of Administrative Database-Derived and Hospital-Derived Data for Monitoring Blood Culture Use in the Pediatric Intensive Care Unit

Journal of the Pediatric Infectious Diseases Society(2023)10.1093/jpids/piad048
N/A
0DataRank · unranked
3 citations

Charlotte Woods-Hill, Danielle W. Koontz, Cary Thurm, Troy Richardson, Aaron M. Milstone +34 more

Numbers and narratives: how qualitative methods can strengthen the science of paediatric antimicrobial stewardship

JAC-Antimicrobial Resistance(2022)10.1093/jacamr/dlab195
N/A
0DataRank · unranked
10 citations

Anping Xie, John C. Lin, Heather Wolfe, Alex S. Plattner, Sara Malone +3 more

Application of Participatory Ergonomics to the Dissemination of a Quality Improvement Program for Optimizing Blood Culture Use

The Joint Commission Journal on Quality and Patient Safety(2023)10.1016/j.jcjq.2023.06.004
N/A
0DataRank · unranked
1 citations

Danielle W. Koontz, Elizabeth Colantuoni, Annie Voskertchian, Marlene R. Miller, James C. Fackler +3 more

Predicting Postoperative Pain and Opioid Use with Machine Learning Applied to Longitudinal Electronic Health Record and Wearable Data

Applied Clinical Informatics(2024)10.1055/a-2321-0397
N/A
0DataRank · unranked
7 citations

Traci J. Speed, Anping Xie, Casey Overby Taylor, Nidhi Soley

Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf053
N/A
0DataRank · unranked
5 citations

Ilia Rattsev, Traci J. Speed, Anping Xie, Kadija Ferryman, Casey Overby Taylor +1 more

Scaling a behavioral weight‐loss intervention for individuals with serious mental illness using the enhanced replicating effective programs framework: A preconditions phase proof‐of‐concept study

Obesity Science & Practice(2023)10.1002/osp4.690
N/A
0DataRank · unranked
6 citations

Gerald J. Jerome, Arlene Dalcin, Ruiyi Gao, Elizabeth Mace, Tyler Fink +7 more