Rin Nakamura
Impact in
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- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 6
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 2
- Peptidase Inhibition and Analysis 2
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- Multiple Myeloma Research and Treatments 5
- Co-authors
- Teiko Sumiyoshi (5 shared papers)Suzanne Trudel (4 shared papers)Andrew Spencer (4 shared papers)Priti S. Hegde (3 shared papers)Grant R. Goodman (2 shared papers)Nizar J. Bahlis (3 shared papers)Luciana Molinero (1 shared paper)Chihunt Wong (3 shared papers)
- Journals
- Blood (4 papers)Applied immunohistochemistry & molecular morphology (1 paper)HemaSphere (1 paper)Journal of Clinical Oncology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Rin Nakamura
10 papers receiving 137 citations
Peers
Comparison fields: 5 of 31
- Hematology 55
- Oncology 95
- Radiology, Nuclear Medicine and Imaging 31
- Immunology 26
- Pathology and Forensic Medicine 13
Countries citing papers authored by Rin Nakamura
This map shows the geographic impact of Rin 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 Rin Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rin Nakamura more than expected).
Fields of papers citing papers by Rin Nakamura
This network shows the impact of papers produced by Rin 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 Rin Nakamura. The network helps show where Rin Nakamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Rin 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 | 2022 | 27 | |
| 2 | 2020 | 27 | |
| 3 | 2023 | 26 | |
| 4 | 2018 | 18 | |
| 5 | 2016 | 14 | |
| 6 | 2020 | 10 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 4 | |
| 9 | 2014 | 4 | |
| 10 | 2014 | 1 |
About Rin Nakamura
Rin Nakamura is a scholar working on Oncology, Hematology, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 139 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), CAR-T cell therapy research (2 papers), Immune cells in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Peptidase Inhibition and Analysis (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (55 citations), Oncology (95 citations), Radiology, Nuclear Medicine and Imaging (31 citations), Immunology (26 citations) and Pathology and Forensic Medicine (13 citations). Rin Nakamura has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Teiko Sumiyoshi, Suzanne Trudel, Andrew Spencer, Priti S. Hegde, Grant R. Goodman, Nizar J. Bahlis, Luciana Molinero, Chihunt Wong, Takemi Matsui and Masakazu Okada. Their work appears in journals such as Blood, Applied immunohistochemistry & molecular morphology, HemaSphere, Journal of Clinical Oncology and Journal for ImmunoTherapy of Cancer.
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.