James J. Chen

7.8k citations
164 papers · 3.9k · h-index 36

Impact in

Papers in

    • Gene expression and cancer classification 36
    • Bioinformatics and Genomic Networks 17
    • Statistical Methods in Clinical Trials 33
    • Statistical Methods and Bayesian Inference 15
    • Statistical Methods and Inference 10

James J. Chen

161 papers receiving 3.7k citations

Peers

James J. Chen
Comparison fields: 5 of 194
  • Statistics and Probability 677
  • Cancer Research 423
  • Management Science and Operations Research 348
  • General Social Sciences 67
  • Statistics, Probability and Uncertainty 135
Replace Richard W. Weber with:
Richard W. Weber United States
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Hua Xu United States
Daniel Q. Naiman United States
Frank Emmert‐Streib Austria
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James J. Chen relative to Richard W. Weber United States Richard W. Weber's profile →
Citations per field
00.5×10×16.8×
Richard W. Weber · 1×
Citations per year

Countries citing papers authored by James J. Chen

Since Specialization
Citations

This map shows the geographic impact of James J. Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James J. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Chen more than expected).

Fields of papers citing papers by James J. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James J. Chen. The network helps show where James J. Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside James J. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James J. Chen Line = papers co-authored together James J. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015261
2 2012222
3 2005147
4 1981120
5 2001116
6 2003116
7 2007103
8 200389
9 200588
10 200980
11 198977
12 201675
13 200770
14 200468
15 200767
16 200861
17 201260
18 200457
19 199754
20 201448

About James J. Chen

James J. Chen is a scholar working on Molecular Biology, Statistics and Probability, Management Science and Operations Research, Cancer Research and Health, Toxicology and Mutagenesis, having authored 164 papers that have together received 3.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (36 papers), Optimal Experimental Design Methods (33 papers), Statistical Methods in Clinical Trials (33 papers), Carcinogens and Genotoxicity Assessment (27 papers), Bioinformatics and Genomic Networks (17 papers), Statistical Methods and Bayesian Inference (15 papers), Effects and risks of endocrine disrupting chemicals (15 papers) and Statistical Methods and Inference (10 papers). The work is most often cited by research in Statistics and Probability (677 citations), Cancer Research (423 citations), Management Science and Operations Research (348 citations), General Social Sciences (67 citations) and Statistics, Probability and Uncertainty (135 citations). James J. Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ralph L. Kodell, Huey‐Miin Hsueh, Chen‐An Tsai, Wei‐Jiun Lin, Wen Zou, David W. Gaylor, Weizhong Zhao, Roger Perkins, Eli Ruckenstein and Hojin Moon. Their work appears in journals such as Journal of Biopharmaceutical Statistics, BMC Bioinformatics, Biometrical Journal, Risk Analysis and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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