Yasuhiro Kabayama
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
- Reproductive Medicine top 10%
- Molecular Biology
- Co-authors
- Hiroo ImuraYuzuru KatoYoshio MurakamiTatsuhide InoueKatsuyoshi TojoAkira ShimatsuNoboru YanaiharaHiroyuki Koshiyama
- Topics
- Neuropeptides and Animal Physiology (9 papers)Hypothalamic control of reproductive hormones (8 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)
- Cited by
- Endocrine and Autonomic SystemsBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- Japan
In The Last Decade
Yasuhiro Kabayama
20 papers receiving 381 citations
Peers
Comparison fields: 5 of 52
- Endocrinology, Diabetes and Metabolism 208
- Cellular and Molecular Neuroscience 149
- Endocrine and Autonomic Systems 98
- Reproductive Medicine 93
- Molecular Biology 76
Countries citing papers authored by Yasuhiro Kabayama
This map shows the geographic impact of Yasuhiro Kabayama'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 Yasuhiro Kabayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Kabayama more than expected).
Fields of papers citing papers by Yasuhiro Kabayama
This network shows the impact of papers produced by Yasuhiro Kabayama. 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 Yasuhiro Kabayama. The network helps show where Yasuhiro Kabayama may publish in the future.
Co-authorship network of co-authors of Yasuhiro Kabayama
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Kabayama. A scholar is included among the top collaborators of Yasuhiro Kabayama 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 Yasuhiro Kabayama. Yasuhiro Kabayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 43 | |
| 5 | 47 | |
| 6 | 13 | |
| 7 | 53 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | 25 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 20 | |
| 15 | 16 | |
| 16 | 11 | |
| 17 | 16 | |
| 18 | 23 | |
| 19 | 8 | |
| 20 | 13 |
About Yasuhiro Kabayama
Yasuhiro Kabayama is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Hypothalamic control of reproductive hormones (8 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (98 citations), Behavioral Neuroscience (48 citations) and Endocrinology, Diabetes and Metabolism (208 citations). Yasuhiro Kabayama has collaborated with scholars based in Japan. Frequent co-authors include Hiroo Imura, Yuzuru Kato, Yoshio Murakami, Tatsuhide Inoue, Katsuyoshi Tojo, Akira Shimatsu, Noboru Yanaihara, Hiroyuki Koshiyama, Norio Matsushita and Takao Inoué. Their work appears in journals such as Brain Research, Endocrinology and Life Sciences.
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.