Kyohei Nakamura
- Immunology top 2%
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 9
- Immune cells in cancer 5
- T-cell and B-cell Immunology 4
- Hematology top 2%
- Multiple Myeloma Research and Treatments 3
- Oncology top 5%
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 6
- Physiology top 10%
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- Systemic Lupus Erythematosus Research 6
- Co-authors
- Mark J. SmythKouetsu OgasawaraLudovic MartinetM. NAKAYAMAGeoffrey R. HillCamille GuillereySlavica VučkovićMika Casey
- Cited by
- ImmunologyHematologyOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- AustraliaJapanUnited States
In The Last Decade
Kyohei Nakamura
36 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 986
- Hematology 355
- Oncology 793
- Physiology 38
- Molecular Biology 537
Countries citing papers authored by Kyohei Nakamura
This map shows the geographic impact of Kyohei Nakamura'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 Kyohei Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyohei Nakamura more than expected).
Fields of papers citing papers by Kyohei Nakamura
This network shows the impact of papers produced by Kyohei Nakamura. 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 Kyohei Nakamura. The network helps show where Kyohei Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyohei Nakamura, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 38 | |
| 8 | 2020 | 92 | |
| 9 | 2020 | 33 | |
| 10 | Myeloid immunosuppression and immune checkpoints in the tumor microenvironmentbreakdown → | 2019 | 379 |
| 11 | 2018 | 167 | |
| 12 | 2015 | 71 | |
| 13 | 2014 | 188 | |
| 14 | 2014 | 3 | |
| 15 | 2013 | 8 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 40 | |
| 18 | 2010 | 5 | |
| 19 | 2010 | 6 | |
| 20 | 2008 | 20 |
About Kyohei Nakamura
Kyohei Nakamura is a scholar working on Immunology, Hematology and Oncology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Systemic Lupus Erythematosus Research (6 papers), Immune cells in cancer (5 papers), T-cell and B-cell Immunology (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Immunology (986 citations), Hematology (355 citations) and Oncology (793 citations). Kyohei Nakamura has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Mark J. Smyth, Kouetsu Ogasawara, Ludovic Martinet, M. NAKAYAMA, Geoffrey R. Hill, Camille Guillerey, Slavica Vučković, Mika Casey, Hideo Harigae and Tomonori Ishii. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.