Mitsuhiro Kawata
Impact in
- Behavioral Neuroscience top 0.1%
- Stress Responses and Cortisol
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
-
- Stress Responses and Cortisol 64
- Co-authors
- Mayumi NishiKen‐ichi MatsudaHitoshi OzawaHirotaka SakamotoKazunari YuriY. SanoToshikazu KuboNoriyuki Morita
- Journals
- Brain Research (16 papers)Cell and Tissue Research (15 papers)Journal of Neuroendocrinology (13 papers)Neuroscience (12 papers)Endocrinology (12 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mitsuhiro Kawata
300 papers receiving 9.4k citations
Peers
Comparison fields: 5 of 163
- Behavioral Neuroscience 1.9k
- Endocrine and Autonomic Systems 1.1k
- Cellular and Molecular Neuroscience 1.9k
- Developmental Neuroscience 395
- Biological Psychiatry 223
Countries citing papers authored by Mitsuhiro Kawata
This map shows the geographic impact of Mitsuhiro Kawata'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 Mitsuhiro Kawata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Kawata more than expected).
Fields of papers citing papers by Mitsuhiro Kawata
This network shows the impact of papers produced by Mitsuhiro Kawata. 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 Mitsuhiro Kawata. The network helps show where Mitsuhiro Kawata may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Kawata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2017 | 43 | |
| 6 | Effect of Gelatin β-tricalcium Phosphate Sponge with Platelet-Rich Plasma on Bone Regeneration in Massive Ulna Defects | 2013 | 3 |
| 7 | 2013 | 108 | |
| 8 | 2011 | 27 | |
| 9 | 2010 | 7 | |
| 10 | 2004 | 136 | |
| 11 | 2004 | 32 | |
| 12 | 2003 | 33 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 231 | |
| 15 | 2001 | 21 | |
| 16 | 1997 | 26 | |
| 17 | 1997 | 13 | |
| 18 | 1994 | 97 | |
| 19 | 1990 | 18 | |
| 20 | 1982 | 12 |
About Mitsuhiro Kawata
Mitsuhiro Kawata is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Developmental Neuroscience and Reproductive Medicine, having authored 308 papers that have together received 9.6k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (64 papers), Neuroendocrine regulation and behavior (57 papers), Estrogen and related hormone effects (52 papers), Neuropeptides and Animal Physiology (38 papers), Hypothalamic control of reproductive hormones (29 papers), Neuroscience and Neuropharmacology Research (27 papers), Hormonal Regulation and Hypertension (23 papers) and Receptor Mechanisms and Signaling (18 papers). The work is most often cited by research in Behavioral Neuroscience (1.9k citations), Endocrine and Autonomic Systems (1.1k citations), Cellular and Molecular Neuroscience (1.9k citations), Developmental Neuroscience (395 citations) and Biological Psychiatry (223 citations). Mitsuhiro Kawata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mayumi Nishi, Ken‐ichi Matsuda, Hitoshi Ozawa, Hirotaka Sakamoto, Kazunari Yuri, Y. Sano, Toshikazu Kubo, Noriyuki Morita, Haiping Lu and Masafumi Morimoto. Their work appears in journals such as Brain Research, Cell and Tissue Research, Journal of Neuroendocrinology, Neuroscience and 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.