Tom Chen
Impact in
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- Muscle Physiology and Disorders
- TGF-β signaling in diseases
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- Microbial Natural Products and Biosynthesis
Papers in
- Co-authors
- Neil M. Wolfman (1 shared paper)Quazi Shakey (1 shared paper)Daniela De Venuto (1 shared paper)Ali Shafiee (3 shared papers)Haideh Motamedi (1 shared paper)Michael Klompas (12 shared papers)Rui Wang (5 shared papers)Chanu Rhee (9 shared papers)
- Journals
- Clinical Infectious Diseases (5 papers)Biometrics (2 papers)JAMA Network Open (2 papers)Canadian Journal of Emergency Medicine (1 paper)BMJ Open (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Tom Chen
39 papers receiving 622 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 282
- Pharmacology 59
- Cell Biology 49
- Aging 5
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Tom Chen
This map shows the geographic impact of Tom 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 Tom Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Chen more than expected).
Fields of papers citing papers by Tom Chen
This network shows the impact of papers produced by Tom 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 Tom Chen. The network helps show where Tom Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 214 | |
| 2 | 2012 | 54 | |
| 3 | 1994 | 44 | |
| 4 | 2005 | 44 | |
| 5 | 2019 | 34 | |
| 6 | 2021 | 29 | |
| 7 | 2013 | 25 | |
| 8 | 2024 | 25 | |
| 9 | 2023 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2012 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2002 | 7 |
About Tom Chen
Tom Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Statistics and Probability and Pathology and Forensic Medicine, having authored 42 papers that have together received 649 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Breast Lesions and Carcinomas (3 papers), Diabetes Management and Research (2 papers), Advanced Causal Inference Techniques (2 papers), Antifungal resistance and susceptibility (2 papers), Statistical Methods and Inference (2 papers), COVID-19 and Mental Health (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Molecular Biology (282 citations), Pharmacology (59 citations), Cell Biology (49 citations), Aging (5 citations) and Applied Microbiology and Biotechnology (5 citations). Tom Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Neil M. Wolfman, Quazi Shakey, Daniela De Venuto, Ali Shafiee, Haideh Motamedi, Michael Klompas, Rui Wang, Chanu Rhee, David C. Christiani and Corwin Zigler. Their work appears in journals such as Clinical Infectious Diseases, Biometrics, JAMA Network Open, Canadian Journal of Emergency Medicine and BMJ Open.
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.