Shigeto KANEMATSU
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 10%
- Endocrine and Autonomic Systems top 10%
- Agronomy and Crop Science top 10%
- Animal Science and Zoology top 10%
- Co-authors
- Charles H. SawyerTsutomu HASHIZUMECharles A. BlakeShin-ichi MikamiReid L. NormanR. J. ScaramuzziTakayuki IbiShinichiro Koyama
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Hypothalamic control of reproductive hormones (9 papers)Reproductive Physiology in Livestock (5 papers)
- Journals
- EndocrinologyAmerican Journal of Physiology-Legacy ContentGeneral and Comparative Endocrinology
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Shigeto KANEMATSU
29 papers receiving 273 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 100
- Reproductive Medicine 86
- Endocrine and Autonomic Systems 64
- Agronomy and Crop Science 48
- Animal Science and Zoology 47
Countries citing papers authored by Shigeto KANEMATSU
This map shows the geographic impact of Shigeto KANEMATSU'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 Shigeto KANEMATSU with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeto KANEMATSU more than expected).
Fields of papers citing papers by Shigeto KANEMATSU
This network shows the impact of papers produced by Shigeto KANEMATSU. 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 Shigeto KANEMATSU. The network helps show where Shigeto KANEMATSU may publish in the future.
Co-authorship network of co-authors of Shigeto KANEMATSU
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeto KANEMATSU. A scholar is included among the top collaborators of Shigeto KANEMATSU 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 Shigeto KANEMATSU. Shigeto KANEMATSU is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | 28 | |
| 16 | 11 | |
| 17 | 21 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | 19 |
About Shigeto KANEMATSU
Shigeto KANEMATSU is a scholar working on Reproductive Medicine, Behavioral Neuroscience and Animal Science and Zoology, having authored 29 papers that have together received 307 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Hypothalamic control of reproductive hormones (9 papers) and Reproductive Physiology in Livestock (5 papers). The work is most often cited by research in Behavioral Neuroscience (39 citations), Reproductive Medicine (86 citations) and Endocrine and Autonomic Systems (64 citations). Shigeto KANEMATSU has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Charles H. Sawyer, Tsutomu HASHIZUME, Charles A. Blake, Shin-ichi Mikami, Reid L. Norman, R. J. Scaramuzzi, Takayuki Ibi, Shinichiro Koyama, Yoshiyuki Sasaki and Shinichi Ohashi. Their work appears in journals such as Endocrinology, American Journal of Physiology-Legacy Content and General and Comparative Endocrinology.
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.