Po‐Lin Chen
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Epidemiology 23
- Co-authors
- Wen‐Chien Ko (89 shared papers)Nan–Yao Lee (57 shared papers)Chi-Jung Wu (25 shared papers)Chia‐Ming Chang (29 shared papers)Ching‐Chi Lee (31 shared papers)Nai‐Ying Ko (23 shared papers)Po‐Ren Hsueh (7 shared papers)Hsin–Chun Lee (19 shared papers)
- Journals
- Journal of Microbiology Immunology and Infection (25 papers)Diagnostic Microbiology and Infectious Disease (5 papers)PLoS ONE (4 papers)Frontiers in Microbiology (3 papers)Antibiotics (3 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Po‐Lin Chen
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 149
- Endocrinology 382
- Molecular Medicine 340
- Applied Microbiology and Biotechnology 67
- Infectious Diseases 605
- Immunology 515
Countries citing papers authored by Po‐Lin Chen
This map shows the geographic impact of Po‐Lin 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 Po‐Lin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Lin Chen more than expected).
Fields of papers citing papers by Po‐Lin Chen
This network shows the impact of papers produced by Po‐Lin 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 Po‐Lin Chen. The network helps show where Po‐Lin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Po‐Lin 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 231 | |
| 2 | 2016 | 117 | |
| 3 | 2012 | 81 | |
| 4 | 2021 | 78 | |
| 5 | 2021 | 71 | |
| 6 | 2012 | 52 | |
| 7 | 2010 | 50 | |
| 8 | 2015 | 50 | |
| 9 | 2014 | 50 | |
| 10 | 2011 | 49 | |
| 11 | 2008 | 45 | |
| 12 | 2011 | 44 | |
| 13 | 2010 | 44 | |
| 14 | 2020 | 43 | |
| 15 | 2019 | 43 | |
| 16 | 2020 | 43 | |
| 17 | 2020 | 42 | |
| 18 | 2010 | 41 | |
| 19 | 2014 | 40 | |
| 20 | 2012 | 39 |
About Po‐Lin Chen
Po‐Lin Chen is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Immunology and Public Health, Environmental and Occupational Health, having authored 113 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (17 papers), Aquaculture disease management and microbiota (15 papers), Antibiotic Resistance in Bacteria (12 papers), Mosquito-borne diseases and control (10 papers), Bacterial Identification and Susceptibility Testing (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Nosocomial Infections in ICU (6 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Endocrinology (382 citations), Molecular Medicine (340 citations), Applied Microbiology and Biotechnology (67 citations), Infectious Diseases (605 citations) and Immunology (515 citations). Po‐Lin Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Wen‐Chien Ko, Nan–Yao Lee, Chi-Jung Wu, Chia‐Ming Chang, Ching‐Chi Lee, Nai‐Ying Ko, Po‐Ren Hsueh, Hsin–Chun Lee, Brigitte Lamy and Ming-Chi Li. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Diagnostic Microbiology and Infectious Disease, PLoS ONE, Frontiers in Microbiology and Antibiotics.
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.