Shigeru Nakano
- Molecular Biology
- Ecology top 5%
- Biomaterials top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Nature and Landscape Conservation top 2%
- Co-authors
- Minoru OKUSHIMAAizo MatsushiroTomoyuki MiyashitaMasahiro FukayaHiroshi MiyamotoKenzo UchidaToshikazu KigoshiMasashi Murakami
- Topics
- Hormonal Regulation and Hypertension (15 papers)Blood Pressure and Hypertension Studies (11 papers)Fish Ecology and Management Studies (9 papers)
- Journals
- Proceedings of the National Academy of SciencesApplied and Environmental MicrobiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
Shigeru Nakano
85 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 663
- Ecology 626
- Biomaterials 553
- Endocrinology, Diabetes and Metabolism 532
- Nature and Landscape Conservation 530
Countries citing papers authored by Shigeru Nakano
This map shows the geographic impact of Shigeru Nakano'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 Shigeru Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Nakano more than expected).
Fields of papers citing papers by Shigeru Nakano
This network shows the impact of papers produced by Shigeru Nakano. 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 Shigeru Nakano. The network helps show where Shigeru Nakano may publish in the future.
Co-authorship network of co-authors of Shigeru Nakano
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Nakano. A scholar is included among the top collaborators of Shigeru Nakano 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 Shigeru Nakano. Shigeru Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 10 | |
| 3 | 34 | |
| 4 | 60 | |
| 5 | 30 | |
| 6 | 74 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 39 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 28 |
About Shigeru Nakano
Shigeru Nakano is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (15 papers), Blood Pressure and Hypertension Studies (11 papers) and Fish Ecology and Management Studies (9 papers). The work is most often cited by research in Nature and Landscape Conservation (530 citations), Biomaterials (553 citations) and Endocrinology, Diabetes and Metabolism (532 citations). Shigeru Nakano has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Minoru OKUSHIMA, Aizo Matsushiro, Tomoyuki Miyashita, Masahiro Fukaya, Hiroshi Miyamoto, Kenzo Uchida, Toshikazu Kigoshi, Masashi Murakami, Mikio Inoue and Atsushi Nakagawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and The Journal of Clinical Endocrinology & Metabolism.
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.