Pei‐Ching Wu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Fungal and yeast genetics research 6
-
- Plant-Microbe Interactions and Immunity 8
- Plant pathogens and resistance mechanisms 2
- Co-authors
- Chienjin Huang (5 shared papers)M. S. Chien (5 shared papers)Weili Lin (3 shared papers)Kuang‐Ren Chung (6 shared papers)Hung‐Rong Yen (1 shared paper)Mei‐Yao Wu (1 shared paper)Yu‐Kun Chen (4 shared papers)Celine Y. L. Choo (5 shared papers)
- Journals
- Microbiological Research (3 papers)Journal of Biotechnology (3 papers)Journal of Fungi (2 papers)International Journal of Molecular Sciences (2 papers)Angewandte Chemie International Edition (1 paper)
- Partner nations
- TaiwanUnited Kingdom
In The Last Decade
Pei‐Ching Wu
20 papers receiving 421 citations
Peers
Comparison fields: 5 of 88
- Animal Science and Zoology 135
- Geriatrics and Gerontology 25
- Infectious Diseases 107
- Physical Therapy, Sports Therapy and Rehabilitation 22
- Genetics 99
Countries citing papers authored by Pei‐Ching Wu
This map shows the geographic impact of Pei‐Ching Wu'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‐Ching Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Ching Wu more than expected).
Fields of papers citing papers by Pei‐Ching Wu
This network shows the impact of papers produced by Pei‐Ching Wu. 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‐Ching Wu. The network helps show where Pei‐Ching Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Ching Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2012 | 62 | |
| 3 | 2016 | 36 | |
| 4 | 2007 | 33 | |
| 5 | 2019 | 33 | |
| 6 | 2017 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2022 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2009 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Pei‐Ching Wu
Pei‐Ching Wu is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 425 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (8 papers), Fungal and yeast genetics research (6 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (3 papers), Fungal Plant Pathogen Control (3 papers), Plant pathogens and resistance mechanisms (2 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Animal Science and Zoology (135 citations), Geriatrics and Gerontology (25 citations), Infectious Diseases (107 citations), Physical Therapy, Sports Therapy and Rehabilitation (22 citations) and Genetics (99 citations). Pei‐Ching Wu has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Chienjin Huang, M. S. Chien, Weili Lin, Kuang‐Ren Chung, Hung‐Rong Yen, Mei‐Yao Wu, Yu‐Kun Chen, Celine Y. L. Choo, Kuang‐Ren Chung and Ming‐Hon Hou. Their work appears in journals such as Microbiological Research, Journal of Biotechnology, Journal of Fungi, International Journal of Molecular Sciences and Angewandte Chemie International Edition.
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.