Robert Kokka

24 papers receiving 1.8k citations

Robert Kokka's Hit Papers

Quantitative analysis of the peripheral blood cytotoxic T lymphocyte response in patients with chronic hepatitis C virus infection. 1996 · 273 citations
2730+10+20Years since publication50100150200250

Peers

Robert Kokka
Comparison fields: 5 of 93
  • Virology 489
  • Hepatology 664
  • Endocrinology 241
  • Immunology 670
  • Infectious Diseases 384
Replace Marcel Beld with:
Marcel Beld Netherlands
Yu‐Mei Wen China
Bob van Gemen Netherlands
María Alma Bracho Spain
Michael Vajdy United States
Laurence Damier-Piolle France
J. Wai‐Kuo Shih United States
Florence Komurian-Pradel France
Yozo Miyakawa Japan
Mitsunobu Imai Japan
Robert Kokka relative to Marcel Beld Netherlands Marcel Beld's profile →
Citations per field
00.5×4.5×
Marcel Beld · 1×
Citations per year

Countries citing papers authored by Robert Kokka

Since Specialization
Citations

This map shows the geographic impact of Robert Kokka'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 Robert Kokka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kokka more than expected).

Fields of papers citing papers by Robert Kokka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Kokka. 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 Robert Kokka. The network helps show where Robert Kokka may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Kokka, 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 Robert Kokka Line = papers co-authored together Robert Kokka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative analysis of the peripheral blood cytotoxic T lymphocyte response in patients with chronic hepatitis C virus infection.
Hit paper breakdown →
1996273
2 1996240
3 1995214
4 1994144
5 1991133
6 2000118
7 1994109
8 1995102
9 199867
10 199366
11 198860
12 199155
13 199151
14 200045
15 199039
16 199738
17 199133
18 199022
19 199417
20 199216

About Robert Kokka

Robert Kokka is a scholar working on Immunology, Infectious Diseases, Hepatology, Virology and Ecology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (11 papers), HIV/AIDS drug development and treatment (7 papers), Hepatitis C virus research (7 papers), Microbial infections and disease research (6 papers), HIV Research and Treatment (6 papers), Bacteriophages and microbial interactions (6 papers), Hepatitis B Virus Studies (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Virology (489 citations), Hepatology (664 citations), Endocrinology (241 citations), Immunology (670 citations) and Infectious Diseases (384 citations). Robert Kokka has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include J. Michael Janda, Michael Houghton, Barbara Rehermann, Francis V. Chisari, Kyong‐Mi Chang, Takenobu Shimada, Sharon L. Abbott, John G. McHutchison, Linda S. Guthertz and John McHutchinson. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases, Infection and Immunity, Journal of Medical Virology and Journal of Virology.

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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