Pei‐Chi Wang
Impact in
- Microbiology top 1%
- Microbial infections and disease research
- Actinomycetales infections and treatment
- Immunology top 5%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
- Immunology 44
- Aquaculture disease management and microbiota 44
- Invertebrate Immune Response Mechanisms 6
- Microbiology 16
- Microbial infections and disease research 13
- Actinomycetales infections and treatment 7
- Co-authors
- Shih‐Chu Chen (56 shared papers)Ming‐An Tsai (11 shared papers)Shun Maekawa (10 shared papers)Yoshiko Shimahara (3 shared papers)Thuy Thi Thu Nguyen (4 shared papers)Hai Trong Nguyen (4 shared papers)Ta‐Chih Cheng (3 shared papers)Terutoyo Yoshida (3 shared papers)
In The Last Decade
Pei‐Chi Wang
55 papers receiving 741 citations
Peers
Comparison fields: 5 of 68
- Microbiology 78
- Immunology 558
- Endocrinology 141
- Microbiology 122
- Aquatic Science 125
Countries citing papers authored by Pei‐Chi Wang
This map shows the geographic impact of Pei‐Chi Wang'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 Pei‐Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Chi Wang more than expected).
Fields of papers citing papers by Pei‐Chi Wang
This network shows the impact of papers produced by Pei‐Chi Wang. 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 Pei‐Chi Wang. The network helps show where Pei‐Chi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Chi Wang, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 58 | |
| 2 | 2014 | 46 | |
| 3 | 2009 | 40 | |
| 4 | 2010 | 34 | |
| 5 | 2018 | 33 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 27 | |
| 8 | 2013 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 15 |
About Pei‐Chi Wang
Pei‐Chi Wang is a scholar working on Immunology, Microbiology, Endocrinology, Cancer Research and Molecular Biology, having authored 58 papers that have together received 766 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (44 papers), Vibrio bacteria research studies (13 papers), Microbial infections and disease research (13 papers), Myxozoan Parasites in Aquatic Species (12 papers), Actinomycetales infections and treatment (7 papers), Streptococcal Infections and Treatments (6 papers), Invertebrate Immune Response Mechanisms (6 papers) and Infectious Diseases and Mycology (6 papers). The work is most often cited by research in Microbiology (78 citations), Immunology (558 citations), Endocrinology (141 citations), Microbiology (122 citations) and Aquatic Science (125 citations). Pei‐Chi Wang has collaborated with scholars based in Taiwan, Japan and Malaysia. Frequent co-authors include Shih‐Chu Chen, Ming‐An Tsai, Shun Maekawa, Yoshiko Shimahara, Thuy Thi Thu Nguyen, Hai Trong Nguyen, Ta‐Chih Cheng, Terutoyo Yoshida, Hong‐Jen Liang and Cheng–Te Li. Their work appears in journals such as Journal of Fish Diseases, Fish & Shellfish Immunology, Aquaculture, International Journal of Molecular Sciences and Animals.
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.