Futoshi Hashimoto
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
-
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Kikuya Sugiura (6 shared papers)Savita Pahwa (3 shared papers)Naoki Oyaizu (3 shared papers)Susumu Ikehara (4 shared papers)Kyoichi Inoue (2 shared papers)Vaniambadi S. Kalyanaraman (2 shared papers)Nobuhiko Kayagaki (1 shared paper)Naoki Hosaka (1 shared paper)
- Journals
- Blood (4 papers)The Journal of Experimental Medicine (1 paper)The Journal of Immunology (1 paper)Immunobiology (1 paper)Pathology International (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Futoshi Hashimoto
10 papers receiving 494 citations
Peers
Comparison fields: 5 of 52
- Virology 130
- Immunology 262
- Hematology 133
- Genetics 100
- Transplantation 22
Countries citing papers authored by Futoshi Hashimoto
This map shows the geographic impact of Futoshi Hashimoto'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 Futoshi Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Futoshi Hashimoto more than expected).
Fields of papers citing papers by Futoshi Hashimoto
This network shows the impact of papers produced by Futoshi Hashimoto. 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 Futoshi Hashimoto. The network helps show where Futoshi Hashimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Futoshi Hashimoto, 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 | 1997 | 149 | |
| 2 | 1997 | 100 | |
| 3 | 1997 | 69 | |
| 4 | 1994 | 58 | |
| 5 | 1994 | 52 | |
| 6 | 1997 | 42 | |
| 7 | 1997 | 15 | |
| 8 | Enhancing effects of cyclosporin A on hematopoietic progenitors: possible role of CD8+ T cells as negative regulators. | 1994 | 7 |
| 9 | 2001 | 6 | |
| 10 | 1997 | 4 |
About Futoshi Hashimoto
Futoshi Hashimoto is a scholar working on Immunology, Virology, Hematology, Epidemiology and Genetics, having authored 10 papers that have together received 502 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), HIV Research and Treatment (3 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Virology (130 citations), Immunology (262 citations), Hematology (133 citations), Genetics (100 citations) and Transplantation (22 citations). Futoshi Hashimoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Kikuya Sugiura, Savita Pahwa, Naoki Oyaizu, Susumu Ikehara, Kyoichi Inoue, Vaniambadi S. Kalyanaraman, Nobuhiko Kayagaki, Naoki Hosaka, Hideo Yagita∥ and Yasushi Adachi. Their work appears in journals such as Blood, The Journal of Experimental Medicine, The Journal of Immunology, Immunobiology and Pathology International.
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.