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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- Sphingolipid Metabolism and Signaling 2
- Co-authors
- Eva E. Prieschl (2 shared papers)Robert Csonga (2 shared papers)V. Novotny (2 shared papers)Thomas Baumruker (2 shared papers)Ethan M. Shevach (4 shared papers)Michael Pensiero (1 shared paper)Christian Wysocki (1 shared paper)J E Coligan (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)Human Gene Therapy (2 papers)Journal of Virology (1 paper)European Journal of Immunology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Gary E. Kikuchi
12 papers receiving 383 citations
Peers
Comparison fields: 5 of 53
- Immunology 170
- Genetics 111
- Molecular Biology 249
- 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 | 150 | |
| 2 | 1996 | 55 | |
| 3 | 1998 | 51 | |
| 4 | 1989 | 37 | |
| 5 | 1992 | 23 | |
| 6 | 1992 | 21 | |
| 7 | 1984 | 15 | |
| 8 | 1992 | 14 | |
| 9 | 2000 | 10 | |
| 10 | 1990 | 9 | |
| 11 | 1993 | 7 | |
| 12 | 1987 | 7 |
About Gary E. Kikuchi
Gary E. Kikuchi is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, 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), Immunotherapy and Immune Responses (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Herpesvirus Infections and Treatments (3 papers), CAR-T cell therapy research (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 (111 citations), Molecular Biology (249 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 Eva E. Prieschl, Robert Csonga, V. Novotny, Thomas Baumruker, Ethan M. Shevach, Michael Pensiero, Christian Wysocki, J E Coligan, K Roberts and J E Coligan. Their work appears in journals such as The Journal of Immunology, Human Gene Therapy, Journal of Virology, European Journal of Immunology and The Journal of Experimental Medicine.
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.