Hiroyuki Kakinuma
- Molecular Biology
- Organic Chemistry top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Yoshisuke NishiNoriyuki MiyataNaoko TakahashiMasakazu SatoToshio NakamuraKazuo TaniguchiIkuo FujiiToshihiko Naito
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Diabetes Treatment and Management (8 papers)Carbohydrate Chemistry and Synthesis (7 papers)
- Cited by
- Organic ChemistryEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroyuki Kakinuma
41 papers receiving 721 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 325
- Organic Chemistry 288
- Endocrinology, Diabetes and Metabolism 160
- Radiology, Nuclear Medicine and Imaging 125
- Computational Theory and Mathematics 83
Countries citing papers authored by Hiroyuki Kakinuma
This map shows the geographic impact of Hiroyuki Kakinuma'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 Hiroyuki Kakinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Kakinuma more than expected).
Fields of papers citing papers by Hiroyuki Kakinuma
This network shows the impact of papers produced by Hiroyuki Kakinuma. 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 Hiroyuki Kakinuma. The network helps show where Hiroyuki Kakinuma may publish in the future.
Co-authorship network of co-authors of Hiroyuki Kakinuma
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Kakinuma. A scholar is included among the top collaborators of Hiroyuki Kakinuma 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 Hiroyuki Kakinuma. Hiroyuki Kakinuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 60 | |
| 15 | 11 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 52 | |
| 19 | 43 | |
| 20 | 27 |
About Hiroyuki Kakinuma
Hiroyuki Kakinuma is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 744 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Diabetes Treatment and Management (8 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Organic Chemistry (288 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Radiology, Nuclear Medicine and Imaging (125 citations). Hiroyuki Kakinuma has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshisuke Nishi, Noriyuki Miyata, Naoko Takahashi, Masakazu Sato, Toshio Nakamura, Kazuo Taniguchi, Ikuo Fujii, Toshihiko Naito, I. TSUKADA and Akihiko Tsuruoka. Their work appears in journals such as Nature Biotechnology, The Journal of Immunology and Journal of Molecular Biology.
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.