Yu‐Chi Chou
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- RNA modifications and cancer 4
-
- SARS-CoV-2 and COVID-19 Research 16
- COVID-19 Clinical Research Studies 7
- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Mong-Liang Chen (8 shared papers)Chung-Ming Chang (9 shared papers)King-Song Jeng (6 shared papers)Cheng-po Hu (6 shared papers)Ya-Ling Chen (4 shared papers)Ruey‐Hwa Chen (2 shared papers)Hsin‐Yi Chen (1 shared paper)Boon Shing Tan (1 shared paper)
- Journals
- Journal of Biomedical Science (5 papers)PLoS ONE (4 papers)International Journal of Molecular Sciences (3 papers)Scientific Reports (2 papers)Cell Biology International (2 papers)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Yu‐Chi Chou
54 papers receiving 841 citations
Peers
Comparison fields: 5 of 83
- Hepatology 162
- Infectious Diseases 187
- Cancer Research 121
- Epidemiology 272
- Immunology 109
Countries citing papers authored by Yu‐Chi Chou
This map shows the geographic impact of Yu‐Chi Chou'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 Yu‐Chi Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chi Chou more than expected).
Fields of papers citing papers by Yu‐Chi Chou
This network shows the impact of papers produced by Yu‐Chi Chou. 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 Yu‐Chi Chou. The network helps show where Yu‐Chi Chou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Chi Chou, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2005 | 50 | |
| 3 | 2021 | 45 | |
| 4 | 2012 | 44 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 32 | |
| 7 | 2007 | 32 | |
| 8 | 2015 | 32 | |
| 9 | 2022 | 29 | |
| 10 | 2011 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2009 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2015 | 22 | |
| 16 | 2013 | 22 | |
| 17 | 2023 | 19 | |
| 18 | 2021 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2015 | 17 |
About Yu‐Chi Chou
Yu‐Chi Chou is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Hepatology and Genetics, having authored 55 papers that have together received 851 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (7 papers), COVID-19 Clinical Research Studies (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Hepatology (162 citations), Infectious Diseases (187 citations), Cancer Research (121 citations), Epidemiology (272 citations) and Immunology (109 citations). Yu‐Chi Chou has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Mong-Liang Chen, Chung-Ming Chang, King-Song Jeng, Cheng-po Hu, Ya-Ling Chen, Ruey‐Hwa Chen, Hsin‐Yi Chen, Boon Shing Tan, Yi‐Ching Wang and Ming-Yang Wang. Their work appears in journals such as Journal of Biomedical Science, PLoS ONE, International Journal of Molecular Sciences, Scientific Reports and Cell Biology International.
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.