Po‐Lin Chen

3.3k citations
123 papers · 2.7k · h-index 30

Impact in

Papers in

Po‐Lin Chen

114 papers receiving 2.6k citations

Peers

Po‐Lin Chen
Comparison fields: 5 of 127
  • Endocrinology 354
  • Molecular Medicine 458
  • Clinical Biochemistry 218
  • Infectious Diseases 585
  • Applied Microbiology and Biotechnology 69
Replace Michael D. Parkins with:
Michael D. Parkins Canada
Meghan A. Wallace United States
P. Berthelot France
Jang Wook Sohn South Korea
Patricia Ferrieri United States
Rajal K. Mody United States
Robert M. Rakita United States
Yoav Keynan Canada
Alban Le Monnier France
Xuan Guang Qin United States
Po‐Lin Chen relative to Michael D. Parkins Canada Michael D. Parkins's profile →
Citations per field
00.5×1.5×
Michael D. Parkins · 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 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020253
2 2016129
3 201291
4 202185
5 202174
6 201055
7 201554
8 201153
9 201253
10 200852
11 201151
12 201048
13 201448
14 201247
15 202046
16 202045
17 202045
18 201444
19 201944
20 201043

About Po‐Lin Chen

Po‐Lin Chen is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Clinical Biochemistry and Epidemiology, having authored 123 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Infections and bacterial resistance (13 papers), Mosquito-borne diseases and control (12 papers), Vibrio bacteria research studies (9 papers), Sepsis Diagnosis and Treatment (8 papers), Bacterial Identification and Susceptibility Testing (8 papers), Salmonella and Campylobacter epidemiology (6 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Endocrinology (354 citations), Molecular Medicine (458 citations), Clinical Biochemistry (218 citations), Infectious Diseases (585 citations) and Applied Microbiology and Biotechnology (69 citations). Po‐Lin Chen has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Wen‐Chien Ko, Nan–Yao Lee, Chi-Jung Wu, Chia‐Ming Chang, Ching‐Chi Lee, Nai‐Ying Ko, Hsueh Po-Ren, Hsin–Chun Lee, Brigitte Lamy and Chia‐Wen Li. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Diagnostic Microbiology and Infectious Disease, PLoS ONE, International Journal of Infectious Diseases and PLoS neglected tropical diseases.

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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