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

Guoqian Jiang

Yanshan University

ORCID: 0000-0003-2940-0019
Biochemistry, Genetics and Molecular BiologyComputer ScienceHealth 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 4%percentile
0.834Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab174
Top 36%
0.543DataRank
Top 36%9 citations

Nansu Zong, Chen Wang, David E. Midthun, Yuan Luo, Ping Yang +2 more

Papers

Driven by 18 papers — median percentile 54. Top paper: “Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records”.

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice(2023)10.1176/appi.prcp.20220015
N/A
0.725DataRank · unranked
17 citations

Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu +10 more

Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab174
Top 36%
0.543DataRank
Top 36%9 citations

Nansu Zong, Chen Wang, David E. Midthun, Yuan Luo, Ping Yang +2 more

Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104002
N/A
0.505DataRank · unranked
28 citations

Nansu Zong, Andrew Wen, Sijia Liu, Daniel J. Stone, David Knaack +7 more

Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study

JMIR Medical Informatics(2020)10.2196/17353
N/A
0.373DataRank · unranked
11 citations

Kathryn J. Ruddy, Aaron S. Mansfield, Nansu Zong, Andrew Wen, Shintaro Tsuji +5 more

Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation

Journal of Medical Internet Research(2022)10.2196/38584
N/A
0.330DataRank · unranked
8 citations

Victoria Ngo, Richard Chapman, Yue Yu, Hongfang Liu, Guoqian Jiang +2 more

Feasibility of using real-world data in the evaluation of cardiac ablation catheters: a test-case of the National Evaluation System for Health Technology Coordinating Center

BMJ Surgery Interventions & Health Technologies(2021)10.1136/bmjsit-2021-000089
Top 56%
0.292DataRank
Top 56%6 citations

Guoqian Jiang, Amit Doshi, Daniel J. Friedman, Eric Brandt, Jiajing Chen +13 more

Using EHR data and machine learning approach to facilitate the identification of patients with lung cancer from a pan-cancer cohort.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.e13552
N/A
0.165DataRank · unranked
2 citations

Kathryn J. Ruddy, Konstantinos Leventakos, Bolun Liu, Nan Huo, Deirdre R. Pachman +7 more

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104201
N/A
0DataRank · unranked
39 citations

Emily Pfaff, Eric Prud’hommeaux, David E. Booth, Deepak Sharma, Nan Huo +6 more

Machine Learning in Causal Inference: Application in Pharmacovigilance

Drug Safety(2022)10.1007/s40264-022-01155-6
N/A
0DataRank · unranked
41 citations

Yue Yu, Hanyin Wang, Yikuan Li, Yu Deng, Guoqian Jiang +2 more

BETA: a comprehensive benchmark for computational drug–target prediction

Briefings in Bioinformatics(2022)10.1093/bib/bbac199
N/A
0DataRank · unranked
20 citations

Ning Li, Andrew Wen, Victoria Ngo, Yue Yu, Ming Huang +8 more

Design and validation of a FHIR-based EHR-driven phenotyping toolbox

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac063
N/A
0DataRank · unranked
12 citations

Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone +11 more

Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis

Genomics Proteomics & Bioinformatics(2022)10.1016/j.gpb.2022.11.003
N/A
0DataRank · unranked
243 citations

Wu Xin, Ping Yang, Guoqian Jiang, Yuan Luo, Yawei Li

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports(2023)10.1038/s41598-023-27493-8
N/A
0DataRank · unranked
17 citations

Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu +13 more

Development of a FHIR RDF data transformation and validation framework and its evaluation

Journal of Biomedical Informatics(2021)10.1016/j.jbi.2021.103755
N/A
0DataRank · unranked
26 citations

Josh N. Collins, David E. Booth, Kevin J. Peterson, Harold R. Solbrig, Guoqian Jiang +1 more

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Scientific Reports(2023)10.1038/s41598-023-35258-6
N/A
0DataRank · unranked
11 citations

Fei Wang, Chengxi Zang, Hao Zhang, Kellyann Niotis, Ava L. Liberman +14 more

Shape Expressions (ShEx) schemas for the FHIR R5 specification

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104534
N/A
0DataRank · unranked
5 citations

Eric Prud’hommeaux, David E. Booth, Claude Nanjo, Guoqian Jiang, Deepak Sharma

Using real-world data from health systems to evaluate the safety and effectiveness of a catheter to treat ischemic ventricular tachycardia

Journal of Interventional Cardiac Electrophysiology(2023)10.1007/s10840-023-01496-x
N/A
0DataRank · unranked
2 citations

Shumin Zhang, Jiajing Chen, Peter A. Noseworthy, Amit Doshi, Kolade M. Agboola +10 more

Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data

International Journal of Medical Informatics(2020)10.1016/j.ijmedinf.2020.104308
N/A
0DataRank · unranked
29 citations

Daniel J. Stone, Deepak Sharma, Andrew Wen, Chen Wang, Yue Yu +6 more