Min‐hsin Chen

1.1k citations
28 papers · 429 · h-index 11

Impact in

Papers in

Min‐hsin Chen

27 papers receiving 424 citations

Peers

Min‐hsin Chen
Comparison fields: 5 of 61
  • Epidemiology 300
  • Infectious Diseases 145
  • Virology 31
  • Pharmaceutical Science 38
  • Health 39
Replace Kathryn Edenborough with:
Kathryn Edenborough Australia
Felix Geeraedts Netherlands
Giulia Lapini Italy
Robert J. Drape United States
Sophia M. Vrba United States
Charles B. Stauft United States
Carmen W.E. Embregts Netherlands
Karen L. Burke United Kingdom
D. Hannaman United States
Kersi Katrak United Kingdom
Min‐hsin Chen relative to Kathryn Edenborough Australia Kathryn Edenborough's profile →
Citations per field
00.5×7.6×
Kathryn Edenborough · 1×
Citations per year

Countries citing papers authored by Min‐hsin Chen

Since Specialization
Citations

This map shows the geographic impact of Min‐hsin 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 Min‐hsin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐hsin Chen more than expected).

Fields of papers citing papers by Min‐hsin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐hsin 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 Min‐hsin Chen. The network helps show where Min‐hsin Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Min‐hsin 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 Min‐hsin Chen Line = papers co-authored together Min‐hsin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201150
3 200739
4 200136
5 200734
6 200431
7 199931
8 201322
9 202119
10 202216
11 201513
12 201610
13 202210
14 201910
15 201610
16 20229
17 20048
18 20225
19 20144
20 20223

About Min‐hsin Chen

Min‐hsin Chen is a scholar working on Epidemiology, Infectious Diseases, Plant Science, Immunology and Health, having authored 28 papers that have together received 429 indexed citations. Recurring topics across this work include Virology and Viral Diseases (20 papers), Respiratory viral infections research (9 papers), Plant Virus Research Studies (5 papers), Bacteriophages and microbial interactions (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Vaccine Coverage and Hesitancy (3 papers), Viral Infections and Vectors (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Epidemiology (300 citations), Infectious Diseases (145 citations), Virology (31 citations), Pharmaceutical Science (38 citations) and Health (39 citations). Min‐hsin Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Joseph P. Icenogle, Teryl K. Frey, Emily Abernathy, Paul A. Rota, Zhen Zhu, David Featherstone, Wenbo Xu, Cynthia A. Derdeyn, Wen‐Pin Tzeng and William J. Bellini. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Virology, Journal of Clinical Microbiology, Open Forum Infectious Diseases and JAMA Dermatology.

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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