Ya‐Hui Chuang
Impact in
- Hepatology top 0.5%
- Liver Diseases and Immunity
- Liver physiology and pathology
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 24
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 15
- IL-33, ST2, and ILC Pathways 4
- Hepatology 24
- Liver Diseases and Immunity 21
- Liver physiology and pathology 4
- Co-authors
- Bor‐Luen Chiang (26 shared papers)M. Eric Gershwin (12 shared papers)Aftab A. Ansari (8 shared papers)Zhe‐Xiong Lian (8 shared papers)Yao‐Hsu Yang (13 shared papers)Ross L. Coppel (7 shared papers)Koichi Tsuneyama (6 shared papers)Yuki Moritoki (7 shared papers)
- Journals
- Hepatology (8 papers)The Journal of Immunology (5 papers)PLoS ONE (4 papers)Journal of Autoimmunity (4 papers)Lara D. Veeken (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Ya‐Hui Chuang
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 92
- Hepatology 1.1k
- Immunology 635
- Epidemiology 764
- Rheumatology 299
- Nephrology 109
Countries citing papers authored by Ya‐Hui Chuang
This map shows the geographic impact of Ya‐Hui Chuang'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 Ya‐Hui Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Hui Chuang more than expected).
Fields of papers citing papers by Ya‐Hui Chuang
This network shows the impact of papers produced by Ya‐Hui Chuang. 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 Ya‐Hui Chuang. The network helps show where Ya‐Hui Chuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Hui Chuang, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 255 | |
| 2 | 2006 | 211 | |
| 3 | 2006 | 199 | |
| 4 | 2005 | 141 | |
| 5 | 2006 | 99 | |
| 6 | 2008 | 98 | |
| 7 | 2005 | 93 | |
| 8 | 2007 | 92 | |
| 9 | 2010 | 86 | |
| 10 | 2007 | 85 | |
| 11 | 2010 | 72 | |
| 12 | 2007 | 71 | |
| 13 | 2008 | 63 | |
| 14 | 2014 | 62 | |
| 15 | 2005 | 53 | |
| 16 | 2006 | 53 | |
| 17 | 2015 | 42 | |
| 18 | 2009 | 38 | |
| 19 | 2011 | 37 | |
| 20 | 2008 | 34 |
About Ya‐Hui Chuang
Ya‐Hui Chuang is a scholar working on Immunology, Hepatology, Epidemiology, Pulmonary and Respiratory Medicine and Physiology, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver Diseases and Immunity (21 papers), T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (15 papers), Liver Disease Diagnosis and Treatment (7 papers), Asthma and respiratory diseases (5 papers), Vasculitis and related conditions (4 papers), Liver physiology and pathology (4 papers) and IL-33, ST2, and ILC Pathways (4 papers). The work is most often cited by research in Hepatology (1.1k citations), Immunology (635 citations), Epidemiology (764 citations), Rheumatology (299 citations) and Nephrology (109 citations). Ya‐Hui Chuang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Bor‐Luen Chiang, M. Eric Gershwin, Aftab A. Ansari, Zhe‐Xiong Lian, Yao‐Hsu Yang, Ross L. Coppel, Koichi Tsuneyama, Yuki Moritoki, Ruth Y. Lan and William M. Ridgway. Their work appears in journals such as Hepatology, The Journal of Immunology, PLoS ONE, Journal of Autoimmunity and Lara D. Veeken.
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.