Noboru Sakamoto
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Oncology
- Physiology
- Co-authors
- Hironobu ItoJohn PearsonKoichi TakatsujiShigeru MatsukuraStacy PorvasnikSteve GoodisonCharles J. RosserCydney Urbanek
- Topics
- Neuropeptides and Animal Physiology (7 papers)Receptor Mechanisms and Signaling (5 papers)Prostate Cancer Treatment and Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanFranceUnited States
In The Last Decade
Noboru Sakamoto
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 432
- Cellular and Molecular Neuroscience 389
- Cognitive Neuroscience 137
- Oncology 125
- Physiology 108
Countries citing papers authored by Noboru Sakamoto
This map shows the geographic impact of Noboru Sakamoto'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 Noboru Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Sakamoto more than expected).
Fields of papers citing papers by Noboru Sakamoto
This network shows the impact of papers produced by Noboru Sakamoto. 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 Noboru Sakamoto. The network helps show where Noboru Sakamoto may publish in the future.
Co-authorship network of co-authors of Noboru Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Sakamoto. A scholar is included among the top collaborators of Noboru Sakamoto 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 Noboru Sakamoto. Noboru Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 97 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 127 | |
| 11 | 28 | |
| 12 | [First 24 Japanese cases of robotic-assisted laparoscopic radical prostatectomy using the daVinci Surgical System]. | 4 |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 37 | |
| 16 | 12 | |
| 17 | 27 | |
| 18 | 56 | |
| 19 | 3 | |
| 20 | 1 |
About Noboru Sakamoto
Noboru Sakamoto is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (5 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (389 citations), Microbiology (77 citations) and Endocrine and Autonomic Systems (83 citations). Noboru Sakamoto has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Hironobu Ito, John Pearson, Koichi Takatsuji, Shigeru Matsukura, Stacy Porvasnik, Steve Goodison, Charles J. Rosser, Cydney Urbanek, Masaya Tohyama and Hiroyuki Uchiyama. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.