Ryusuke Nabeshima
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
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- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- Oncology 4
- Chemokine receptors and signaling 2
- Co-authors
- Tamon Hayashi (1 shared paper)Shiro Shibayama (1 shared paper)Taku Okazaki (1 shared paper)Seigo Terawaki (1 shared paper)Tasuku Honjo (1 shared paper)Takao Yoshida (1 shared paper)Shunsuke Chikuma (1 shared paper)Hiroshi Handa (3 shared papers)
In The Last Decade
Ryusuke Nabeshima
10 papers receiving 501 citations
Peers
Comparison fields: 5 of 75
- Immunology 189
- Hematology 96
- Oncology 117
- Genetics 41
- Infectious Diseases 48
Countries citing papers authored by Ryusuke Nabeshima
This map shows the geographic impact of Ryusuke Nabeshima'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 Ryusuke Nabeshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryusuke Nabeshima more than expected).
Fields of papers citing papers by Ryusuke Nabeshima
This network shows the impact of papers produced by Ryusuke Nabeshima. 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 Ryusuke Nabeshima. The network helps show where Ryusuke Nabeshima may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryusuke Nabeshima, 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 | 2009 | 168 | |
| 2 | 2019 | 165 | |
| 3 | 1999 | 81 | |
| 4 | 1998 | 29 | |
| 5 | Hematopoietic supportive function of human bone marrow stromal cell lines established by a recombinant SV40-adenovirus vector. | 1994 | 28 |
| 6 | 2008 | 19 | |
| 7 | Effects of vesnarinone on the bone marrow stromal cell-dependent proliferation and differentiation of HL60 cells in vitro. | 1997 | 13 |
| 8 | 2007 | 4 | |
| 9 | 2025 | 1 | |
| 10 | 2009 | 1 | |
| 11 | 2004 | 0 |
About Ryusuke Nabeshima
Ryusuke Nabeshima is a scholar working on Immunology, Oncology, Genetics, Hematology and Aerospace Engineering, having authored 11 papers that have together received 509 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Blood disorders and treatments (3 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (2 papers), Antenna Design and Analysis (2 papers), Microwave Engineering and Waveguides (2 papers), Chemokine receptors and signaling (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (189 citations), Hematology (96 citations), Oncology (117 citations), Genetics (41 citations) and Infectious Diseases (48 citations). Ryusuke Nabeshima has collaborated with scholars based in Japan and Czechia. Frequent co-authors include Tamon Hayashi, Shiro Shibayama, Taku Okazaki, Seigo Terawaki, Tasuku Honjo, Takao Yoshida, Shunsuke Chikuma, Hiroshi Handa, Masaki Hiramoto and Makoto Yaguchi. Their work appears in journals such as International Journal of Molecular Medicine, Nature, International Journal of Hematology, Leukemia Research and The 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.