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

Ruijun Chen

Tempus Labs (United States)

ORCID: 0000-0001-5281-4143

Also affiliated with Huizhou Central People's Hospital, University of Hong Kong

Computer ScienceMedicine

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 4%percentile
0.918Author 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.

Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies

BMJ Open(2022)10.1136/bmjopen-2021-057977
Top 22%
0.918DataRank
Top 22%40 citations

Martijn J. Schuemie, Yuan Lu, Anna Ostropolets, Ruijun Chen, George Hripcsak +4 more

Papers

Driven by 6 papers — median percentile 78. Top paper: “Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies”.

Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies

BMJ Open(2022)10.1136/bmjopen-2021-057977
Top 22%
0.918DataRank
Top 22%40 citations

Martijn J. Schuemie, Yuan Lu, Anna Ostropolets, Ruijun Chen, George Hripcsak +4 more

Data Consult Service: Can we use observational data to address immediate clinical needs?

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab122
N/A
0.241DataRank · unranked
4 citations

Philip Zachariah, Patrick Ryan, Ruijun Chen, George Hripcsak, Anna Ostropolets

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa103
N/A
0DataRank · unranked
51 citations

Patrick Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz +4 more

Characterizing physicians’ information needs related to a gap in knowledge unmet by current evidence

JAMIA Open(2020)10.1093/jamiaopen/ooaa012
N/A
0DataRank · unranked
13 citations

Ruijun Chen, Linying Zhang, George Hripcsak, Anna Ostropolets

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa124
N/A
0DataRank · unranked
34 citations

Patrick Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz +4 more

Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab029
N/A
0DataRank · unranked
30 citations

Shreyas Bhave, Ruijun Chen, Chao Pang, George Hripcsak, Soumitra SenGupta +10 more