Keisuke Kuroda
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Developmental Neuroscience top 5%
Papers in
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- Neurotransmitter Receptor Influence on Behavior 7
- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 5
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- Receptor Mechanisms and Signaling 16
- Phosphodiesterase function and regulation 12
- 14-3-3 protein interactions 4
- Co-authors
- Kozo KaibuchiHans‐Dieter KlenkHiroshi ShinkaiR. RottCharlotte A. E. HauserWalter DoerflerDaisuke TsuboiTaku Nagai
- Journals
- British Journal of Dermatology (3 papers)The EMBO Journal (3 papers)Journal of Virology (3 papers)Virus Research (2 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keisuke Kuroda
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 399
- Developmental Neuroscience 88
- Molecular Biology 1.1k
- Cell Biology 267
- Biological Psychiatry 39
Countries citing papers authored by Keisuke Kuroda
This map shows the geographic impact of Keisuke Kuroda'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 Keisuke Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Kuroda more than expected).
Fields of papers citing papers by Keisuke Kuroda
This network shows the impact of papers produced by Keisuke Kuroda. 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 Keisuke Kuroda. The network helps show where Keisuke Kuroda may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Kuroda, 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 | 2020 | 15 | |
| 2 | 2019 | 35 | |
| 3 | 2018 | 9 | |
| 4 | 2017 | 8 | |
| 5 | 2017 | 5 | |
| 6 | 2016 | 37 | |
| 7 | 2016 | 42 | |
| 8 | 2015 | 4 | |
| 9 | 2015 | 8 | |
| 10 | 2014 | 37 | |
| 11 | 2010 | 36 | |
| 12 | 2009 | 138 | |
| 13 | 2007 | 183 | |
| 14 | 2004 | 29 | |
| 15 | 2003 | 8 | |
| 16 | 2002 | 10 | |
| 17 | 2000 | 12 | |
| 18 | 1997 | 76 | |
| 19 | 1995 | 43 | |
| 20 | 1988 | 53 |
About Keisuke Kuroda
Keisuke Kuroda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Developmental Neuroscience and Physiology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Phosphodiesterase function and regulation (12 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Neuropeptides and Animal Physiology (7 papers), Influenza Virus Research Studies (5 papers), Neuroscience and Neuropharmacology Research (5 papers), 14-3-3 protein interactions (4 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (399 citations), Developmental Neuroscience (88 citations), Molecular Biology (1.1k citations), Cell Biology (267 citations) and Biological Psychiatry (39 citations). Keisuke Kuroda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kozo Kaibuchi, Hans‐Dieter Klenk, Hiroshi Shinkai, R. Rott, Charlotte A. E. Hauser, Walter Doerfler, Daisuke Tsuboi, Taku Nagai, Shingo Tajima and Shinichiro Taya. Their work appears in journals such as British Journal of Dermatology, The EMBO Journal, Journal of Virology, Virus Research and Scientific Reports.
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.