Jun Kitano
Impact in
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
-
- Cellular transport and secretion
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Neuroscience and Neuropharmacology Research 8
- Neurobiology and Insect Physiology Research 4
- Nerve injury and regeneration 1
- Neurotransmitter Receptor Influence on Behavior 1
-
- Ion channel regulation and function 3
- Nicotinic Acetylcholine Receptors Study 2
- Receptor Mechanisms and Signaling 1
- Co-authors
- Shigetada Nakanishi (8 shared papers)Yoshiaki Nakajima (5 shared papers)Yoshimitsu Yamazaki (2 shared papers)Kumlesh K. Dev (1 shared paper)Jeremy M. Henley (1 shared paper)Steven P. Braithwaite (1 shared paper)Ryuichi Shigemoto (1 shared paper)Takeshi Soda (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (1 paper)Genes to Cells (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Jun Kitano
8 papers receiving 517 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 368
- Cell Biology 94
- Molecular Biology 367
- Neurology 37
- Developmental Neuroscience 15
Countries citing papers authored by Jun Kitano
This map shows the geographic impact of Jun Kitano'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 Jun Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kitano more than expected).
Fields of papers citing papers by Jun Kitano
This network shows the impact of papers produced by Jun Kitano. 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 Jun Kitano. The network helps show where Jun Kitano may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kitano, 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 | 2002 | 153 | |
| 2 | 2000 | 140 | |
| 3 | 2003 | 64 | |
| 4 | 2003 | 60 | |
| 5 | 2004 | 45 | |
| 6 | 2004 | 26 | |
| 7 | 2007 | 24 | |
| 8 | 2004 | 12 |
About Jun Kitano
Jun Kitano is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Cognitive Neuroscience and Infectious Diseases, having authored 8 papers that have together received 524 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neurobiology and Insect Physiology Research (4 papers), Ion channel regulation and function (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Memory and Neural Mechanisms (1 paper), Nerve injury and regeneration (1 paper), Receptor Mechanisms and Signaling (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (368 citations), Cell Biology (94 citations), Molecular Biology (367 citations), Neurology (37 citations) and Developmental Neuroscience (15 citations). Jun Kitano has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Shigetada Nakanishi, Yoshiaki Nakajima, Yoshimitsu Yamazaki, Kumlesh K. Dev, Jeremy M. Henley, Steven P. Braithwaite, Ryuichi Shigemoto, Takeshi Soda, Masaaki Ogawa and Tomoo Hirano. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Genes to Cells and European Journal of Neuroscience.
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.