Koichi Hashikawa
Impact in
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
-
- Circadian rhythm and melatonin
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Neuropeptides and Animal Physiology 3
-
- Neuroendocrine regulation and behavior 9
- Co-authors
- Yoshiko Hashikawa (8 shared papers)Dayu Lin (6 shared papers)Annegret L. Falkner (2 shared papers)Garret D. Stuber (7 shared papers)Hyosang Lee (1 shared paper)James E. Feng (1 shared paper)Bernardo Rudy (1 shared paper)Julieta E. Lischinsky (2 shared papers)
- Journals
- Neuron (6 papers)Nature Neuroscience (2 papers)eLife (1 paper)Genes Brain & Behavior (1 paper)Neuroscience Research (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Koichi Hashikawa
19 papers receiving 986 citations
Peers
Comparison fields: 5 of 68
- Behavioral Neuroscience 175
- Endocrine and Autonomic Systems 241
- Cellular and Molecular Neuroscience 380
- Social Psychology 404
- Cognitive Neuroscience 314
Countries citing papers authored by Koichi Hashikawa
This map shows the geographic impact of Koichi Hashikawa'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 Koichi Hashikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Hashikawa more than expected).
Fields of papers citing papers by Koichi Hashikawa
This network shows the impact of papers produced by Koichi Hashikawa. 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 Koichi Hashikawa. The network helps show where Koichi Hashikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Hashikawa, 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 | 2017 | 193 | |
| 2 | 2019 | 137 | |
| 3 | 2016 | 112 | |
| 4 | 2020 | 102 | |
| 5 | 2019 | 96 | |
| 6 | 2017 | 88 | |
| 7 | 2018 | 56 | |
| 8 | 2021 | 54 | |
| 9 | 2022 | 37 | |
| 10 | 2009 | 22 | |
| 11 | 2011 | 18 | |
| 12 | 2011 | 17 | |
| 13 | 2010 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2013 | 9 | |
| 17 | 2012 | 7 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 2 |
About Koichi Hashikawa
Koichi Hashikawa is a scholar working on Cellular and Molecular Neuroscience, Social Psychology, Cognitive Neuroscience, Molecular Biology and Behavioral Neuroscience, having authored 19 papers that have together received 989 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (9 papers), Memory and Neural Mechanisms (6 papers), Stress Responses and Cortisol (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Hypothalamic control of reproductive hormones (4 papers), Neural dynamics and brain function (3 papers), Neuropeptides and Animal Physiology (3 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Behavioral Neuroscience (175 citations), Endocrine and Autonomic Systems (241 citations), Cellular and Molecular Neuroscience (380 citations), Social Psychology (404 citations) and Cognitive Neuroscience (314 citations). Koichi Hashikawa has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Yoshiko Hashikawa, Dayu Lin, Annegret L. Falkner, Garret D. Stuber, Hyosang Lee, James E. Feng, Bernardo Rudy, Julieta E. Lischinsky, Robin Tremblay and Jiaxing Zhang. Their work appears in journals such as Neuron, Nature Neuroscience, eLife, Genes Brain & Behavior and Neuroscience Research.
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.