Hideto Kaneshima
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 30
- HIV Research and Treatment 29
- Immunology 24
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 10
- Co-authors
- Reiko Namikawa (13 shared papers)J M McCune (11 shared papers)Mackenzie M. Lieberman (5 shared papers)Joseph M. McCune (15 shared papers)L D Shultz (2 shared papers)Irving L. Weissman (2 shared papers)Mark L. Bonyhadi (10 shared papers)Linda B. Rabin (12 shared papers)
- Journals
- Journal of Virology (9 papers)Science (5 papers)Proceedings of the National Academy of Sciences (4 papers)The Journal of Immunology (3 papers)Blood (3 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Hideto Kaneshima
62 papers receiving 5.9k citations
Hideto Kaneshima's Hit Papers
Peers
Comparison fields: 5 of 106
- Virology 2.4k
- Immunology 2.8k
- Epidemiology 2.0k
- Infectious Diseases 1.1k
- Hematology 493
Countries citing papers authored by Hideto Kaneshima
This map shows the geographic impact of Hideto Kaneshima'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 Hideto Kaneshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideto Kaneshima more than expected).
Fields of papers citing papers by Hideto Kaneshima
This network shows the impact of papers produced by Hideto Kaneshima. 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 Hideto Kaneshima. The network helps show where Hideto Kaneshima may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideto Kaneshima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The SCID-hu Mouse: Murine Model for the Analysis of Human Hematolymphoid Differentiation and Function Hit paper breakdown → | 1988 | 1204 |
| 2 | 1988 | 381 | |
| 3 | 1993 | 347 | |
| 4 | 1994 | 321 | |
| 5 | 1988 | 319 | |
| 6 | 1990 | 314 | |
| 7 | 1997 | 283 | |
| 8 | 1993 | 237 | |
| 9 | 1995 | 218 | |
| 10 | 1998 | 206 | |
| 11 | 1998 | 203 | |
| 12 | 1995 | 191 | |
| 13 | 1990 | 181 | |
| 14 | 1998 | 140 | |
| 15 | 1993 | 121 | |
| 16 | 1991 | 119 | |
| 17 | 1991 | 116 | |
| 18 | 1991 | 104 | |
| 19 | 1998 | 101 | |
| 20 | 1996 | 100 |
About Hideto Kaneshima
Hideto Kaneshima is a scholar working on Virology, Immunology, Genetics, Epidemiology and Infectious Diseases, having authored 62 papers that have together received 6.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (29 papers), Immune Cell Function and Interaction (17 papers), Virus-based gene therapy research (16 papers), Herpesvirus Infections and Treatments (11 papers), T-cell and B-cell Immunology (10 papers), Cytomegalovirus and herpesvirus research (6 papers), HIV/AIDS drug development and treatment (5 papers) and Virology and Viral Diseases (5 papers). The work is most often cited by research in Virology (2.4k citations), Immunology (2.8k citations), Epidemiology (2.0k citations), Infectious Diseases (1.1k citations) and Hematology (493 citations). Hideto Kaneshima has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Reiko Namikawa, J M McCune, Mackenzie M. Lieberman, Joseph M. McCune, L D Shultz, Irving L. Weissman, Mark L. Bonyhadi, Linda B. Rabin, Edward S. Mocarski and Ann M. Arvin. Their work appears in journals such as Journal of Virology, Science, Proceedings of the National Academy of Sciences, The Journal of Immunology and Blood.
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.