Tai‐An Cha
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Herpesvirus Infections and Treatments
- Influenza Virus Research Studies
Papers in
-
- Hepatitis B Virus Studies 2
- Respiratory viral infections research 2
- Influenza Virus Research Studies 2
- Herpesvirus Infections and Treatments 2
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Janice A. Kolberg (3 shared papers)Eileen L. Beall (3 shared papers)Bruce Irvine (3 shared papers)P.L. Yap (2 shared papers)Edward C. Holmes (2 shared papers)F. McOmish (2 shared papers)Peter Simmonds (2 shared papers)Shiu‐Wan Chan (2 shared papers)
- Journals
- Journal of Virology (1 paper)Journal of Clinical Microbiology (1 paper)Analytical Biochemistry (1 paper)The Journal of Infectious Diseases (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tai‐An Cha
8 papers receiving 1.4k citations
Tai‐An Cha's Hit Papers
Peers
Comparison fields: 5 of 63
- Hepatology 1.1k
- Epidemiology 989
- Virology 104
- Infectious Diseases 162
- Animal Science and Zoology 69
Countries citing papers authored by Tai‐An Cha
This map shows the geographic impact of Tai‐An Cha'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 Tai‐An Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐An Cha more than expected).
Fields of papers citing papers by Tai‐An Cha
This network shows the impact of papers produced by Tai‐An Cha. 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 Tai‐An Cha. The network helps show where Tai‐An Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai‐An Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Classification of hepatitis C virus into six major genotypes and a series of subtypes by phylogenetic analysis of the NS-5 region Hit paper breakdown → | 1993 | 1200 |
| 2 | 2000 | 75 | |
| 3 | 2000 | 70 | |
| 4 | 1998 | 66 | |
| 5 | 1992 | 16 | |
| 6 | 1997 | 12 | |
| 7 | 1984 | 9 | |
| 8 | 1994 | 9 |
About Tai‐An Cha
Tai‐An Cha is a scholar working on Epidemiology, Molecular Biology, Hepatology, Virology and Animal Science and Zoology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers), Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers), Herpesvirus Infections and Treatments (2 papers), Systemic Lupus Erythematosus Research (1 paper), Poxvirus research and outbreaks (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (989 citations), Virology (104 citations), Infectious Diseases (162 citations) and Animal Science and Zoology (69 citations). Tai‐An Cha has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Janice A. Kolberg, Eileen L. Beall, Bruce Irvine, P.L. Yap, Edward C. Holmes, F. McOmish, Peter Simmonds, Shiu‐Wan Chan, M. S. Urdea and Richard R. Spaete. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Analytical Biochemistry, The Journal of Infectious Diseases and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.