Hiroaki Shima
Impact in
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- Breast Cancer Treatment Studies
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- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
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- Breast Cancer Treatment Studies 15
- Surgery 16
- Breast Implant and Reconstruction 8
- Organ Transplantation Techniques and Outcomes 3
- Co-authors
- Goro Kutomi (22 shared papers)Koichi Hirata (17 shared papers)Toshihiko Torigoe (10 shared papers)Noriyuki Sato (6 shared papers)Yasuaki Tamura (3 shared papers)Hidekazu Kameshima (10 shared papers)Y. Suzuki (4 shared papers)Yasutoshi Kimura (5 shared papers)
- Journals
- Cancer Science (4 papers)Annals of Surgical Oncology (2 papers)Journal of Surgical Research (1 paper)Anticancer Research (1 paper)Cancer Immunology Immunotherapy (1 paper)
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Hiroaki Shima
32 papers receiving 331 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 90
- Oncology 149
- Immunology 88
- Cell Biology 42
- Pathology and Forensic Medicine 33
Countries citing papers authored by Hiroaki Shima
This map shows the geographic impact of Hiroaki Shima'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 Hiroaki Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Shima more than expected).
Fields of papers citing papers by Hiroaki Shima
This network shows the impact of papers produced by Hiroaki Shima. 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 Hiroaki Shima. The network helps show where Hiroaki Shima may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroaki Shima, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 66 | |
| 2 | 2012 | 61 | |
| 3 | 2020 | 21 | |
| 4 | 2017 | 19 | |
| 5 | 2014 | 17 | |
| 6 | 1985 | 17 | |
| 7 | 2015 | 13 | |
| 8 | 2012 | 13 | |
| 9 | SOX2 and ALDH1 as Predictors of Operable Breast Cancer. | 2016 | 11 |
| 10 | 2014 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2014 | 4 |
About Hiroaki Shima
Hiroaki Shima is a scholar working on Cancer Research, Surgery, Oncology, Pathology and Forensic Medicine and Immunology, having authored 36 papers that have together received 336 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (15 papers), Breast Implant and Reconstruction (8 papers), Breast Lesions and Carcinomas (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), HER2/EGFR in Cancer Research (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Cancer Research (90 citations), Oncology (149 citations), Immunology (88 citations), Cell Biology (42 citations) and Pathology and Forensic Medicine (33 citations). Hiroaki Shima has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Goro Kutomi, Koichi Hirata, Toshihiko Torigoe, Noriyuki Sato, Yasuaki Tamura, Hidekazu Kameshima, Y. Suzuki, Yasutoshi Kimura, Yoshihiko Hirohashi and Mitsuru Mori. Their work appears in journals such as Cancer Science, Annals of Surgical Oncology, Journal of Surgical Research, Anticancer Research and Cancer Immunology Immunotherapy.
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.