Kotaro Shimura
Impact in
-
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 8
- Inflammatory Biomarkers in Disease Prognosis 5
- Cancer Cells and Metastasis 4
- Lung Cancer Research Studies 1
-
- Immune cells in cancer 6
- Co-authors
- Seiji Mabuchi (16 shared papers)Tadashi Kimura (14 shared papers)Naoko Komura (14 shared papers)Yuri Matsumoto (14 shared papers)Mahiru Kawano (11 shared papers)Eriko Yokoi (12 shared papers)Tomoyuki Sasano (8 shared papers)Kenjiro Sawada (10 shared papers)
- Journals
- International Journal of Gynecological Cancer (3 papers)Oncotarget (3 papers)Nature Communications (1 paper)OncoImmunology (1 paper)Nutrition and Cancer (1 paper)
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Kotaro Shimura
19 papers receiving 379 citations
Peers
Comparison fields: 5 of 43
- Immunology 173
- Oncology 203
- Obstetrics and Gynecology 42
- Reproductive Medicine 37
- Cancer Research 50
Countries citing papers authored by Kotaro Shimura
This map shows the geographic impact of Kotaro Shimura'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 Kotaro Shimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kotaro Shimura more than expected).
Fields of papers citing papers by Kotaro Shimura
This network shows the impact of papers produced by Kotaro Shimura. 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 Kotaro Shimura. The network helps show where Kotaro Shimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Kotaro Shimura, 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 | 2020 | 90 | |
| 2 | 2018 | 56 | |
| 3 | 2019 | 31 | |
| 4 | 2013 | 25 | |
| 5 | 2019 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2024 | 12 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2019 | 2 | |
| 19 | A method for diagnosing ABH (O) blood group of the fetus. | 1977 | 2 |
| 20 | 2025 | 0 |
About Kotaro Shimura
Kotaro Shimura is a scholar working on Oncology, Immunology, Obstetrics and Gynecology, Reproductive Medicine and Surgery, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cancer Cells and Metastasis (4 papers), Ovarian cancer diagnosis and treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Lung Cancer Research Studies (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Immunology (173 citations), Oncology (203 citations), Obstetrics and Gynecology (42 citations), Reproductive Medicine (37 citations) and Cancer Research (50 citations). Kotaro Shimura has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Seiji Mabuchi, Tadashi Kimura, Naoko Komura, Yuri Matsumoto, Mahiru Kawano, Eriko Yokoi, Tomoyuki Sasano, Kenjiro Sawada, Kae Hashimoto and Michiko Kodama. Their work appears in journals such as International Journal of Gynecological Cancer, Oncotarget, Nature Communications, OncoImmunology and Nutrition and 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.