Kazutoshi Murakami
- Molecular Biology
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Behavioral Neuroscience top 2%
- Physiology top 10%
- Co-authors
- Kozo HashimotoJun WadaJun EguchiAtsuko NakatsukaZensuke OtaHirofumi MakinoWilliam F. GanongSanae Teshigawara
- Topics
- Stress Responses and Cortisol (14 papers)Neuroendocrine regulation and behavior (8 papers)Hormonal Regulation and Hypertension (6 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kazutoshi Murakami
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 506
- Epidemiology 328
- Endocrinology, Diabetes and Metabolism 316
- Behavioral Neuroscience 309
- Physiology 282
Countries citing papers authored by Kazutoshi Murakami
This map shows the geographic impact of Kazutoshi Murakami'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 Kazutoshi Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutoshi Murakami more than expected).
Fields of papers citing papers by Kazutoshi Murakami
This network shows the impact of papers produced by Kazutoshi Murakami. 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 Kazutoshi Murakami. The network helps show where Kazutoshi Murakami may publish in the future.
Co-authorship network of co-authors of Kazutoshi Murakami
This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Murakami. A scholar is included among the top collaborators of Kazutoshi Murakami 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 Kazutoshi Murakami. Kazutoshi Murakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 12 | |
| 3 | 46 | |
| 4 | 21 | |
| 5 | 62 | |
| 6 | 52 | |
| 7 | 49 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 21 | |
| 11 | 24 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 14 | |
| 15 | 11 | |
| 16 | 36 | |
| 17 | 78 | |
| 18 | 54 | |
| 19 | 30 | |
| 20 | 1 |
About Kazutoshi Murakami
Kazutoshi Murakami is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Biological Psychiatry, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (14 papers), Neuroendocrine regulation and behavior (8 papers) and Hormonal Regulation and Hypertension (6 papers). The work is most often cited by research in Behavioral Neuroscience (309 citations), Endocrinology, Diabetes and Metabolism (316 citations) and Endocrine and Autonomic Systems (118 citations). Kazutoshi Murakami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kozo Hashimoto, Jun Wada, Jun Eguchi, Atsuko Nakatsuka, Zensuke Ota, Hirofumi Makino, William F. Ganong, Sanae Teshigawara, Akihiro Katayama and Motoko Kanzaki. Their work appears in journals such as Circulation, Nature Communications and PLoS ONE.
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.