Po‐Lin Chen

108 papers receiving 2.3k citations

Peers

Po‐Lin Chen
Comparison fields: 5 of 152
  • Endocrinology 475
  • Molecular Medicine 386
  • Applied Microbiology and Biotechnology 111
  • Infectious Diseases 771
  • Immunology 538
Replace Hossam M. Ashour with:
Hossam M. Ashour United States
Leo G. Visser Netherlands
Martin Mielke Germany
Yoav Keynan Canada
Celia Alpuche‐Aranda Mexico
Hsin‐I Shih Taiwan
Jung‐Hyun Choi South Korea
José Marı́a Eiros Bouza Spain
Abiola Senok United Arab Emirates
Paul H. M. Savelkoul Netherlands
Po‐Lin Chen relative to Hossam M. Ashour United States Hossam M. Ashour's profile →
Citations per field
00.5×1.5×
Hossam M. Ashour · 1×
Citations per year

Countries citing papers authored by Po‐Lin Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020230
2 2016113
3 201279
4 202171
5 202171
6 201050
7 201149
8 201249
9 201448
10 201548
11 200845
12 201044
13 201144
14 202043
15 202043
16 202042
17 201941
18 201440
19 201040
20 201239

About Po‐Lin Chen

Po‐Lin Chen is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Public Health, Environmental and Occupational Health and Immunology, having authored 113 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (23 papers), Antibiotic Resistance in Bacteria (16 papers), Aquaculture disease management and microbiota (15 papers), Bacterial Identification and Susceptibility Testing (14 papers), Mosquito-borne diseases and control (10 papers), Nosocomial Infections in ICU (9 papers), Parasite Biology and Host Interactions (8 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Endocrinology (475 citations), Molecular Medicine (386 citations), Applied Microbiology and Biotechnology (111 citations), Infectious Diseases (771 citations) and Immunology (538 citations). Po‐Lin Chen has collaborated with scholars based in Taiwan, United States and France. 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 Ching-Tai Huang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Diagnostic Microbiology and Infectious Disease, PLoS ONE, International Journal of Antimicrobial Agents and Microbiology Spectrum.

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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