Tai‐An Cha

1.7k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Tai‐An Cha is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Tai‐An Cha has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Molecular Biology and 2 papers in Hepatology. Recurrent topics in Tai‐An Cha's work include Herpesvirus Infections and Treatments (2 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Tai‐An Cha is often cited by papers focused on Herpesvirus Infections and Treatments (2 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Tai‐An Cha collaborates with scholars based in United States, Japan and United Kingdom. Tai‐An Cha's co-authors include Janice A. Kolberg, Bruce Irvine, Eileen L. Beall, Peter Simmonds, P.L. Yap, Shiu‐Wan Chan, M. S. Urdea, F. McOmish, Edward C. Holmes and Richard R. Spaete and has published in prestigious journals such as Analytical Biochemistry, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Tai‐An Cha

7 papers receiving 1.3k citations

Hit Papers

Classification of hepatitis C virus into six major genoty... 1993 2026 2004 2015 1993 250 500 750 1000

Peers

Tai‐An Cha
Comparison fields: 5 of 68
  • Epidemiology 1.1k
  • Hepatology 1.1k
  • Infectious Diseases 170
  • Radiology, Nuclear Medicine and Imaging 125
  • Molecular Biology 108
Replace Giovanna Peddis with:
Giovanna Peddis Italy
Ann Wyseur Belgium
I Yoshida Japan
Atsushi Shimoda Japan
Motohiro Shibata Japan
A Machida Japan
Koei Sato Japan
Y. Miyakawa Japan
J. Monjardino United Kingdom
Joe Kansopon United States
Giovanna Peddis Italy View profile →
Citations per field, relative to Tai‐An Cha
Tai‐An Cha · 1×
Citations per year, relative to Tai‐An Cha
Tai‐An Cha · 1×

Countries citing papers authored by Tai‐An Cha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tai‐An Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐An Cha. A scholar is included among the top collaborators of Tai‐An Cha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tai‐An Cha. Tai‐An Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 62
2 64
3 56
4 12
5
Classification of hepatitis C virus into six major genotypes and a series of subtypes by phylogenetic analysis of the NS-5 region breakdown →
1176
6 16
7 8

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.

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