T A Cha

1.4k citations
8 papers · 1.2k · 1 hit paper · h-index 8

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Hepatitis C virus research 4
    • Bacteriophages and microbial interactions 2

T A Cha

8 papers receiving 1.1k citations

T A Cha's Hit Papers

Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains 1996 · 546 citations
5460+10+20Years since publication100200300400500

Peers

T A Cha
Comparison fields: 5 of 46
  • Hepatology 395
  • Epidemiology 540
  • Molecular Biology 214
  • Virology 14
  • Ecology 69
Replace Taravat Bamdad with:
Taravat Bamdad Iran
Rajiv G. Tawar France
Pong Kian Chua United States
Monica Pezzanera Italy
Douglas G. Widman United States
Leonardo Giustini Italy
Roland Remenyi United States
Lander Foquet United States
Anuradha Yammanuru United States
Charlotte Dalba France
T A Cha relative to Taravat Bamdad Iran Taravat Bamdad's profile →
Citations per field
00.5×2×3×4.0×
Taravat Bamdad · 1×
Citations per year

Countries citing papers authored by T A Cha

Since Specialization
Citations

This map shows the geographic impact of T A 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 T A Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T A Cha more than expected).

Fields of papers citing papers by T A Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T A 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 T A Cha. The network helps show where T A Cha may publish in the future.

Co-authors

The 24 scholars most cited alongside T A Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T A Cha Line = papers co-authored together T A Cha links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains
Hit paper breakdown →
1996546
2 1992233
3 1991124
4 1995107
5 198987
6 198674
7 201453
8 199317

About T A Cha

T A Cha is a scholar working on Hepatology, Ecology, Molecular Biology, Genetics and Epidemiology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Bacterial Genetics and Biotechnology (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bacteriophages and microbial interactions (2 papers), DNA Repair Mechanisms (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Hepatology (395 citations), Epidemiology (540 citations), Molecular Biology (214 citations), Virology (14 citations) and Ecology (69 citations). T A Cha has collaborated with scholars based in United States and Japan. Frequent co-authors include Edward S. Mocarski, Richard R. Spaete, George W. Kemble, Greg M. Duke, Ed Tom, Bruce Alberts, Janice Ann Kolberg, Bruce D. Irvine, Eileen L. Beall and George C. Kuo. Their work appears in journals such as Journal of Biological Chemistry, Biosensors and Bioelectronics, Journal of Virology, Journal of Clinical Microbiology and Proceedings of the National Academy of Sciences.

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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