Dai Mitsushima
Impact in
- Behavioral Neuroscience top 0.5%
- Stress Responses and Cortisol
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones
Papers in
-
- Stress Responses and Cortisol 34
-
- Neuroscience and Neuropharmacology Research 40
- Co-authors
- Fukuko KimuraToshiya FunabashiEi TerasawaAkane SanoTakuya TakahashiHiroyuki KidaKenkichi TakaseKazuyuki Shinohara
- Journals
- Neuroscience (12 papers)Neuroscience Research (8 papers)Neuroendocrinology (6 papers)Brain Research (6 papers)Endocrinology (5 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Dai Mitsushima
97 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Behavioral Neuroscience 555
- Reproductive Medicine 514
- Endocrine and Autonomic Systems 394
- Cellular and Molecular Neuroscience 924
- Developmental Neuroscience 166
Countries citing papers authored by Dai Mitsushima
This map shows the geographic impact of Dai Mitsushima'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 Dai Mitsushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Mitsushima more than expected).
Fields of papers citing papers by Dai Mitsushima
This network shows the impact of papers produced by Dai Mitsushima. 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 Dai Mitsushima. The network helps show where Dai Mitsushima may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Mitsushima, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 9 | |
| 5 | 2018 | 25 | |
| 6 | Disinhibition from GABA and rapid strengthening of hippocampal CA1 synapses after contextual training | 2017 | 1 |
| 7 | Developmental changes in the learning-induced plasticity at hippocampal CA1 synapses | 2017 | 1 |
| 8 | 2017 | 34 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 60 | |
| 11 | 2009 | 6 | |
| 12 | 2009 | 33 | |
| 13 | 2005 | 24 | |
| 14 | 2003 | 32 | |
| 15 | 2003 | 30 | |
| 16 | 2002 | 7 | |
| 17 | 2002 | 52 | |
| 18 | 2000 | 10 | |
| 19 | 1999 | 15 | |
| 20 | 1998 | 33 |
About Dai Mitsushima
Dai Mitsushima is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Reproductive Medicine, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 99 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (40 papers), Stress Responses and Cortisol (34 papers), Memory and Neural Mechanisms (23 papers), Neuroendocrine regulation and behavior (22 papers), Hypothalamic control of reproductive hormones (20 papers), Circadian rhythm and melatonin (11 papers), Estrogen and related hormone effects (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Behavioral Neuroscience (555 citations), Reproductive Medicine (514 citations), Endocrine and Autonomic Systems (394 citations), Cellular and Molecular Neuroscience (924 citations) and Developmental Neuroscience (166 citations). Dai Mitsushima has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Fukuko Kimura, Toshiya Funabashi, Ei Terasawa, Akane Sano, Takuya Takahashi, Hiroyuki Kida, Kenkichi Takase, Kazuyuki Shinohara, Yuya Sakimoto and Tin-Tin-Win-Shwe. Their work appears in journals such as Neuroscience, Neuroscience Research, Neuroendocrinology, Brain Research 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.