Daisuke Kodama
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol 2
-
- Neuropeptides and Animal Physiology 9
- Neuroscience and Neuropharmacology Research 7
-
- Pain Mechanisms and Treatments 8
- Pharmacology top 10%
- Pharmacology top 10%
-
- Ion channel regulation and function 6
-
- Cancer, Stress, Anesthesia, and Immune Response 3
-
- Bioactive Compounds and Antitumor Agents 2
-
- Muscle metabolism and nutrition 2
- Co-authors
- Mitsuo TanabeHideki OnoAkifumi TogariKeiko TakasuHisataka KondoSachiko YamaguchiMasaya KawaseKiyohito Yagi
- Journals
- Journal of Pharmacological Sciences (3 papers)Biochemical and Biophysical Research Communications (3 papers)Biological and Pharmaceutical Bulletin (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Daisuke Kodama
25 papers receiving 452 citations
Peers
Comparison fields: 5 of 81
- Behavioral Neuroscience 41
- Cellular and Molecular Neuroscience 151
- Physiology 186
- Pharmacology 91
- Pharmacology 44
Countries citing papers authored by Daisuke Kodama
This map shows the geographic impact of Daisuke Kodama'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 Daisuke Kodama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kodama more than expected).
Fields of papers citing papers by Daisuke Kodama
This network shows the impact of papers produced by Daisuke Kodama. 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 Daisuke Kodama. The network helps show where Daisuke Kodama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Kodama, 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 | 2023 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2018 | 2 | |
| 4 | 2018 | 3 | |
| 5 | 2017 | 4 | |
| 6 | 2015 | 2 | |
| 7 | 2015 | 5 | |
| 8 | 2014 | 10 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 6 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 13 | |
| 13 | 2011 | 64 | |
| 14 | 2011 | 17 | |
| 15 | 2010 | 8 | |
| 16 | 2010 | 0 | |
| 17 | 2008 | 34 | |
| 18 | 2007 | 67 | |
| 19 | 2006 | 27 | |
| 20 | 2005 | 0 |
About Daisuke Kodama
Daisuke Kodama is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Behavioral Neuroscience, having authored 27 papers that have together received 464 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Pain Mechanisms and Treatments (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (6 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Stress Responses and Cortisol (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Behavioral Neuroscience (41 citations), Cellular and Molecular Neuroscience (151 citations) and Physiology (186 citations). Daisuke Kodama has collaborated with scholars based in Japan and United States. Frequent co-authors include Mitsuo Tanabe, Hideki Ono, Akifumi Togari, Keiko Takasu, Hisataka Kondo, Sachiko Yamaguchi, Masaya Kawase, Kiyohito Yagi, Aiko Watanabe and Makoto Tamesada. Their work appears in journals such as Journal of Pharmacological Sciences, Biochemical and Biophysical Research Communications, Biological and Pharmaceutical Bulletin, British Journal of Pharmacology and Pharmacology.
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.