Ren Nanamiya
Impact in
- Oncology top 10%
- Chemokine receptors and signaling
- HER2/EGFR in Cancer Research
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Oncology 24
- Chemokine receptors and signaling 9
- HER2/EGFR in Cancer Research 8
- Lymphatic System and Diseases 4
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- Glycosylation and Glycoproteins Research 8
- Co-authors
- Yukinari Kato (26 shared papers)Mika K. Kaneko (26 shared papers)Teizo Asano (24 shared papers)Masato Sano (14 shared papers)Junko Takei (14 shared papers)Hideki Hosono (13 shared papers)Takuro Nakamura (12 shared papers)Miyuki Yanaka (11 shared papers)
- Journals
- Oncology Reports (2 papers)British Journal of Cancer (1 paper)Current Issues in Molecular Biology (1 paper)Oncotarget (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- Japan
In The Last Decade
Ren Nanamiya
29 papers receiving 347 citations
Peers
Comparison fields: 5 of 35
- Oncology 253
- Immunology 191
- Physiology 29
- Radiology, Nuclear Medicine and Imaging 94
- Cell Biology 23
Countries citing papers authored by Ren Nanamiya
This map shows the geographic impact of Ren Nanamiya'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 Ren Nanamiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ren Nanamiya more than expected).
Fields of papers citing papers by Ren Nanamiya
This network shows the impact of papers produced by Ren Nanamiya. 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 Ren Nanamiya. The network helps show where Ren Nanamiya may publish in the future.
Co-authors
The 25 scholars most cited alongside Ren Nanamiya, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2021 | 6 |
About Ren Nanamiya
Ren Nanamiya is a scholar working on Oncology, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 347 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (9 papers), Chemokine receptors and signaling (9 papers), HER2/EGFR in Cancer Research (8 papers), Glycosylation and Glycoproteins Research (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers) and Lymphatic System and Diseases (4 papers). The work is most often cited by research in Oncology (253 citations), Immunology (191 citations), Physiology (29 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Cell Biology (23 citations). Ren Nanamiya has collaborated with scholars based in Japan. Frequent co-authors include Yukinari Kato, Mika K. Kaneko, Teizo Asano, Masato Sano, Junko Takei, Hideki Hosono, Takuro Nakamura, Miyuki Yanaka, Tomohiro Tanaka and Tomohiro Tanaka. Their work appears in journals such as Oncology Reports, British Journal of Cancer, Current Issues in Molecular Biology, Oncotarget and International Journal of Molecular Sciences.
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.