Gary E. Kikuchi
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Virus-based gene therapy research
Papers in
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- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Toxin Mechanisms and Immunotoxins 3
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Thomas Baumruker (2 shared papers)Robert Csonga (2 shared papers)Veronica Novotny (2 shared papers)Eva E. Prieschl (2 shared papers)Ethan M. Shevach (4 shared papers)Christian Wysocki (1 shared paper)Michael N. Pensiero (1 shared paper)J E Coligan (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)Human Gene Therapy (2 papers)The Journal of Experimental Medicine (1 paper)Biochemistry (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Gary E. Kikuchi
12 papers receiving 382 citations
Peers
Comparison fields: 5 of 53
- Immunology 170
- Genetics 110
- Molecular Biology 248
- Immunology and Allergy 17
- Cell Biology 42
Countries citing papers authored by Gary E. Kikuchi
This map shows the geographic impact of Gary E. Kikuchi'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 Gary E. Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary E. Kikuchi more than expected).
Fields of papers citing papers by Gary E. Kikuchi
This network shows the impact of papers produced by Gary E. Kikuchi. 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 Gary E. Kikuchi. The network helps show where Gary E. Kikuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary E. Kikuchi, 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 | 1999 | 151 | |
| 2 | 1996 | 55 | |
| 3 | 1998 | 51 | |
| 4 | 1989 | 37 | |
| 5 | 1992 | 23 | |
| 6 | 1992 | 21 | |
| 7 | 1984 | 15 | |
| 8 | 1992 | 13 | |
| 9 | 2000 | 10 | |
| 10 | 1990 | 9 | |
| 11 | 1987 | 7 | |
| 12 | 1993 | 7 |
About Gary E. Kikuchi
Gary E. Kikuchi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Epidemiology and Genetics, having authored 12 papers that have together received 399 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Herpesvirus Infections and Treatments (3 papers), Sphingolipid Metabolism and Signaling (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (170 citations), Genetics (110 citations), Molecular Biology (248 citations), Immunology and Allergy (17 citations) and Cell Biology (42 citations). Gary E. Kikuchi has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Thomas Baumruker, Robert Csonga, Veronica Novotny, Eva E. Prieschl, Ethan M. Shevach, Christian Wysocki, Michael N. Pensiero, J E Coligan, K Roberts and John E. Coligan. Their work appears in journals such as The Journal of Immunology, Human Gene Therapy, The Journal of Experimental Medicine, Biochemistry and European Journal of Immunology.
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.