Chun-Yen Chu
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Bacterial Infections and Vaccines
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
- Microbiology 13
- Microbial infections and disease research 10
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- Herpesvirus Infections and Treatments 5
- Co-authors
- Jai‐Wei Lee (14 shared papers)Wei‐Yen Wang (2 shared papers)Ming-Chih Lu (2 shared papers)Li-Ting Cheng (10 shared papers)Joseph Shiloach (2 shared papers)John B. Robbins (2 shared papers)Rachel Schneerson (2 shared papers)Jiin‐Tsuey Cheng (1 shared paper)
In The Last Decade
Chun-Yen Chu
39 papers receiving 542 citations
Peers
Comparison fields: 5 of 81
- Microbiology 146
- Endocrinology 78
- Infectious Diseases 121
- Animal Science and Zoology 62
- Agronomy and Crop Science 56
Countries citing papers authored by Chun-Yen Chu
This map shows the geographic impact of Chun-Yen Chu'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 Chun-Yen Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Yen Chu more than expected).
Fields of papers citing papers by Chun-Yen Chu
This network shows the impact of papers produced by Chun-Yen Chu. 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 Chun-Yen Chu. The network helps show where Chun-Yen Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Yen Chu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 70 | |
| 2 | 1984 | 69 | |
| 3 | 2006 | 56 | |
| 4 | 2014 | 39 | |
| 5 | 2001 | 32 | |
| 6 | 2006 | 26 | |
| 7 | 2013 | 25 | |
| 8 | 2014 | 20 | |
| 9 | 2007 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2009 | 18 | |
| 12 | 2010 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2016 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2015 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 6 |
About Chun-Yen Chu
Chun-Yen Chu is a scholar working on Microbiology, Epidemiology, Genetics, Animal Science and Zoology and Agronomy and Crop Science, having authored 39 papers that have together received 562 indexed citations. Recurring topics across this work include Microbial infections and disease research (10 papers), Virus-based gene therapy research (7 papers), Animal Virus Infections Studies (7 papers), Vector-Borne Animal Diseases (5 papers), Herpesvirus Infections and Treatments (5 papers), Animal Disease Management and Epidemiology (5 papers), Streptococcal Infections and Treatments (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Microbiology (146 citations), Endocrinology (78 citations), Infectious Diseases (121 citations), Animal Science and Zoology (62 citations) and Agronomy and Crop Science (56 citations). Chun-Yen Chu has collaborated with scholars based in Taiwan, Canada and Mongolia. Frequent co-authors include Jai‐Wei Lee, Wei‐Yen Wang, Ming-Chih Lu, Li-Ting Cheng, Joseph Shiloach, John B. Robbins, Rachel Schneerson, Jiin‐Tsuey Cheng, Ming-Jeng Pan and Yao-Chi Chung. Their work appears in journals such as BMC Veterinary Research, Journal of Applied Microbiology, Research in Veterinary Science, The Veterinary Journal and Infection and Immunity.
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.