Arihiro Shibata
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Aquatic Science top 5%
- Surgery
- Cancer Research
- Co-authors
- Tsuneo ImaiHiroomi FunahashiHisao SeoAkimasa NakaoTakashi NagayaToyone KikumoriYatsuka HibiT. Mase
- Topics
- Adrenal and Paraganglionic Tumors (4 papers)Neuroendocrine Tumor Research Advances (3 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAnnals of SurgeryBreast Cancer Research and Treatment
- Partner nations
- JapanSouth Korea
In The Last Decade
Arihiro Shibata
18 papers receiving 521 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 165
- Endocrinology, Diabetes and Metabolism 133
- Aquatic Science 121
- Surgery 109
- Cancer Research 96
Countries citing papers authored by Arihiro Shibata
This map shows the geographic impact of Arihiro Shibata'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 Arihiro Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arihiro Shibata more than expected).
Fields of papers citing papers by Arihiro Shibata
This network shows the impact of papers produced by Arihiro Shibata. 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 Arihiro Shibata. The network helps show where Arihiro Shibata may publish in the future.
Co-authorship network of co-authors of Arihiro Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of Arihiro Shibata. A scholar is included among the top collaborators of Arihiro Shibata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arihiro Shibata. Arihiro Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | [Effective chemotherapy with bevacizumab/FOLFOX4 for neuroendocrine carcinoma of the ascending colon - a case study]. | 2 |
| 6 | 29 | |
| 7 | 30 | |
| 8 | 27 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 145 | |
| 13 | 117 | |
| 14 | 18 | |
| 15 | 8 | |
| 16 | 43 | |
| 17 | 11 | |
| 18 | 77 | |
| 19 | 5 |
About Arihiro Shibata
Arihiro Shibata is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology and Aquatic Science, having authored 19 papers that have together received 558 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Aquatic Science (121 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Cancer Research (96 citations). Arihiro Shibata has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Tsuneo Imai, Hiroomi Funahashi, Hisao Seo, Akimasa Nakao, Takashi Nagaya, Toyone Kikumori, Yatsuka Hibi, T. Mase, Masataka Sawaki and Yutaka Mizuno. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Surgery and Breast Cancer Research and Treatment.
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.