Chia‐Chi Wang
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Epidemiology 35
- Liver Disease Diagnosis and Treatment 30
- Hepatitis B Virus Studies 23
- Co-authors
- Tong‐Rong Jan (19 shared papers)Jia‐Horng Kao (27 shared papers)Ding‐Shinn Chen (16 shared papers)Chun‐Jen Liu (14 shared papers)Tai‐Chung Tseng (18 shared papers)Chun-Wei Tung (26 shared papers)Chen‐Hua Liu (11 shared papers)Pei‐Jer Chen (12 shared papers)
- Journals
- Hepatology International (5 papers)Food and Chemical Toxicology (4 papers)The American Journal of Gastroenterology (4 papers)PeerJ (4 papers)International Journal of Nanomedicine (4 papers)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chia‐Chi Wang
142 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 175
- Hepatology 764
- Epidemiology 961
- Periodontics 77
- Pharmacology 277
- Biological Psychiatry 34
Countries citing papers authored by Chia‐Chi Wang
This map shows the geographic impact of Chia‐Chi Wang'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 Chia‐Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Chi Wang more than expected).
Fields of papers citing papers by Chia‐Chi Wang
This network shows the impact of papers produced by Chia‐Chi Wang. 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 Chia‐Chi Wang. The network helps show where Chia‐Chi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Chi Wang, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 221 | |
| 2 | 2012 | 195 | |
| 3 | 2012 | 157 | |
| 4 | 2018 | 104 | |
| 5 | 2008 | 85 | |
| 6 | 2007 | 85 | |
| 7 | 2014 | 84 | |
| 8 | 2008 | 80 | |
| 9 | 2018 | 75 | |
| 10 | 2010 | 75 | |
| 11 | 2016 | 72 | |
| 12 | 2014 | 70 | |
| 13 | 2007 | 69 | |
| 14 | 2013 | 68 | |
| 15 | 2011 | 61 | |
| 16 | 2011 | 57 | |
| 17 | 2006 | 53 | |
| 18 | 2018 | 53 | |
| 19 | 2012 | 53 | |
| 20 | 2015 | 52 |
About Chia‐Chi Wang
Chia‐Chi Wang is a scholar working on Epidemiology, Molecular Biology, Hepatology, Surgery and Electrical and Electronic Engineering, having authored 151 papers that have together received 3.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (30 papers), Hepatitis B Virus Studies (23 papers), Hepatitis C virus research (21 papers), Computational Drug Discovery Methods (9 papers), Oral Health Pathology and Treatment (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Contact Dermatitis and Allergies (5 papers) and Photonic and Optical Devices (5 papers). The work is most often cited by research in Hepatology (764 citations), Epidemiology (961 citations), Periodontics (77 citations), Pharmacology (277 citations) and Biological Psychiatry (34 citations). Chia‐Chi Wang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Tong‐Rong Jan, Jia‐Horng Kao, Ding‐Shinn Chen, Chun‐Jen Liu, Tai‐Chung Tseng, Chun-Wei Tung, Chen‐Hua Liu, Pei‐Jer Chen, Ying‐Chi Lin and Hsin‐Ying Wu. Their work appears in journals such as Hepatology International, Food and Chemical Toxicology, The American Journal of Gastroenterology, PeerJ and International Journal of Nanomedicine.
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.