Tom Chen
Impact in
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- Muscle Physiology and Disorders
- TGF-β signaling in diseases
Papers in ⓘ
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- COVID-19 Clinical Research Studies 3
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- Sepsis Diagnosis and Treatment 5
- Co-authors
- Quazi Shakey (1 shared paper)Neil M. Wolfman (1 shared paper)Daniela De Venuto (1 shared paper)Ali Shafiee (3 shared papers)Haideh Motamedi (1 shared paper)Rui Wang (5 shared papers)Michael Klompas (11 shared papers)Chanu Rhee (8 shared papers)
- Journals
- Clinical Infectious Diseases (4 papers)JAMA Network Open (2 papers)Biometrics (2 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)American Journal of Preventive Medicine (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Tom Chen
38 papers receiving 599 citations
Peers
Comparison fields: 5 of 124
- Applied Microbiology and Biotechnology 13
- Molecular Biology 291
- Family Practice 9
- Pharmacology 61
- Critical Care and Intensive Care Medicine 18
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 215 | |
| 2 | 2012 | 52 | |
| 3 | 1994 | 44 | |
| 4 | 2005 | 44 | |
| 5 | 2019 | 32 | |
| 6 | 2021 | 29 | |
| 7 | 2013 | 25 | |
| 8 | 2024 | 19 | |
| 9 | 2023 | 18 | |
| 10 | 2019 | 14 | |
| 11 | 2012 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2019 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2011 | 7 | |
| 19 | 2002 | 7 | |
| 20 | 2022 | 6 |
About Tom Chen
Tom Chen is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 41 papers that have together received 626 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Nosocomial Infections in ICU (4 papers), Diabetes Management and Research (3 papers), Antibiotic Use and Resistance (3 papers), Statistical Methods and Bayesian Inference (3 papers), COVID-19 Clinical Research Studies (3 papers), Breast Lesions and Carcinomas (3 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (13 citations), Molecular Biology (291 citations), Family Practice (9 citations), Pharmacology (61 citations) and Critical Care and Intensive Care Medicine (18 citations). Tom Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Quazi Shakey, Neil M. Wolfman, Daniela De Venuto, Ali Shafiee, Haideh Motamedi, Rui Wang, Michael Klompas, Chanu Rhee, David C. Christiani and Cheng-Kuan Lin. Their work appears in journals such as Clinical Infectious Diseases, JAMA Network Open, Biometrics, JAIDS Journal of Acquired Immune Deficiency Syndromes and American Journal of Preventive Medicine.
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.