James J. Chen
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 35
- Statistical Methods and Bayesian Inference 15
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment 27
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- Optimal Experimental Design Methods 34
- General Social Sciences top 0.5%
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- Gene expression and cancer classification 46
- Bioinformatics and Genomic Networks 31
- Molecular Biology Techniques and Applications 16
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- Effects and risks of endocrine disrupting chemicals 15
James J. Chen
160 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 197
- Statistics and Probability 724
- Cancer Research 468
- Management Science and Operations Research 363
- General Social Sciences 79
- Statistics, Probability and Uncertainty 149
Countries citing papers authored by James J. Chen
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | Statistics in Big Data | 2015 | 1 |
| 3 | 2014 | 19 | |
| 4 | 2013 | 3 | |
| 5 | 2011 | 1 | |
| 6 | 2008 | 7 | |
| 7 | 2007 | 103 | |
| 8 | 2005 | 36 | |
| 9 | 2004 | 19 | |
| 10 | 2002 | 9 | |
| 11 | 2002 | 7 | |
| 12 | 2001 | 35 | |
| 13 | 1998 | 6 | |
| 14 | 1996 | 11 | |
| 15 | 1994 | 16 | |
| 16 | 1992 | 13 | |
| 17 | 1989 | 78 | |
| 18 | 1989 | 15 | |
| 19 | 1987 | 18 | |
| 20 | 1986 | 4 |
About James J. Chen
James J. Chen is a scholar working on Statistics and Probability, Management Science and Operations Research, Cancer Research, Chemical Health and Safety 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 (46 papers), Statistical Methods in Clinical Trials (35 papers), Optimal Experimental Design Methods (34 papers), Bioinformatics and Genomic Networks (31 papers), Carcinogens and Genotoxicity Assessment (27 papers), Molecular Biology Techniques and Applications (16 papers), Statistical Methods and Bayesian Inference (15 papers) and Effects and risks of endocrine disrupting chemicals (15 papers). The work is most often cited by research in Statistics and Probability (724 citations), Cancer Research (468 citations), Management Science and Operations Research (363 citations), General Social Sciences (79 citations) and Statistics, Probability and Uncertainty (149 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, Roger Perkins, Weizhong Zhao, Eli Ruckenstein and Hojin Moon. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Biometrical Journal, BMC Bioinformatics, 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.