Yen‐Chen Chang
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Animal Virus Infections Studies 17
-
- Viral gastroenteritis research and epidemiology 14
- Co-authors
- Hui‐Wen Chang (26 shared papers)Chia‐Yu Chang (11 shared papers)Chian‐Ren Jeng (13 shared papers)Victor Fei Pang (7 shared papers)Hue‐Ying Chiou (7 shared papers)Pei‐Shiue Tsai (6 shared papers)Ivan‐Chen Cheng (4 shared papers)Shang‐Te Danny Hsu (3 shared papers)
- Journals
- Viruses (4 papers)Scientific Reports (3 papers)BMC Veterinary Research (3 papers)Transboundary and Emerging Diseases (2 papers)Animals (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Yen‐Chen Chang
38 papers receiving 534 citations
Peers
Comparison fields: 5 of 94
- Animal Science and Zoology 266
- Infectious Diseases 293
- Genetics 182
- Endocrinology 24
- Structural Biology 4
Countries citing papers authored by Yen‐Chen Chang
This map shows the geographic impact of Yen‐Chen Chang'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 Yen‐Chen Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Chen Chang more than expected).
Fields of papers citing papers by Yen‐Chen Chang
This network shows the impact of papers produced by Yen‐Chen Chang. 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 Yen‐Chen Chang. The network helps show where Yen‐Chen Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen‐Chen Chang, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2019 | 55 | |
| 3 | 2022 | 40 | |
| 4 | 2017 | 37 | |
| 5 | 2021 | 35 | |
| 6 | 2008 | 30 | |
| 7 | 2018 | 28 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2011 | 18 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2020 | 11 | |
| 19 | A small outbreak of lead neuropathy in a tile factory. | 1988 | 8 |
| 20 | 2017 | 7 |
About Yen‐Chen Chang
Yen‐Chen Chang is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Epidemiology and Surgery, having authored 41 papers that have together received 541 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (17 papers), Virus-based gene therapy research (15 papers), Viral gastroenteritis research and epidemiology (14 papers), Neonatal and fetal brain pathology (2 papers), Veterinary Oncology Research (2 papers), Neonatal Health and Biochemistry (2 papers), Microbial infections and disease research (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Animal Science and Zoology (266 citations), Infectious Diseases (293 citations), Genetics (182 citations), Endocrinology (24 citations) and Structural Biology (4 citations). Yen‐Chen Chang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hui‐Wen Chang, Chia‐Yu Chang, Chian‐Ren Jeng, Victor Fei Pang, Hue‐Ying Chiou, Pei‐Shiue Tsai, Ivan‐Chen Cheng, Shang‐Te Danny Hsu, Tzu‐Jing Yang and Yuan‐Chih Chang. Their work appears in journals such as Viruses, Scientific Reports, BMC Veterinary Research, Transboundary and Emerging Diseases 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.