Hirofumi Watari
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Photoreceptor and optogenetics research 2
- Neurobiology and Insect Physiology Research 1
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- Ion channel regulation and function 3
- Connexins and lens biology 1
- Co-authors
- William A. Catterall (2 shared papers)Todd Scheuer (2 shared papers)Xin Jiang (1 shared paper)Ruth E. Westenbroek (1 shared paper)Nathan J. Lautermilch (1 shared paper)Donald E. Born (1 shared paper)Christine A. Gleason (1 shared paper)Ping Zhu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Physiology (2 papers)iScience (1 paper)Physiological Genomics (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesBulgariaGermany
In The Last Decade
Hirofumi Watari
9 papers receiving 241 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 157
- Developmental Neuroscience 8
- Sensory Systems 9
- Cell Biology 30
- Molecular Biology 126
Countries citing papers authored by Hirofumi Watari
This map shows the geographic impact of Hirofumi Watari'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 Hirofumi Watari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirofumi Watari more than expected).
Fields of papers citing papers by Hirofumi Watari
This network shows the impact of papers produced by Hirofumi Watari. 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 Hirofumi Watari. The network helps show where Hirofumi Watari may publish in the future.
Co-authors
The 25 scholars most cited alongside Hirofumi Watari, 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 | 2007 | 80 | |
| 2 | 2005 | 75 | |
| 3 | 2011 | 25 | |
| 4 | 2006 | 23 | |
| 5 | 2012 | 18 | |
| 6 | 2021 | 10 | |
| 7 | 2012 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2013 | 3 |
About Hirofumi Watari
Hirofumi Watari is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Paleontology and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 243 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (3 papers), Neural dynamics and brain function (3 papers), Photoreceptor and optogenetics research (2 papers), Neurobiology and Insect Physiology Research (1 paper), Connexins and lens biology (1 paper), Alzheimer's disease research and treatments (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (157 citations), Developmental Neuroscience (8 citations), Sensory Systems (9 citations), Cell Biology (30 citations) and Molecular Biology (126 citations). Hirofumi Watari has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include William A. Catterall, Todd Scheuer, Xin Jiang, Ruth E. Westenbroek, Nathan J. Lautermilch, Donald E. Born, Christine A. Gleason, Ping Zhu, David G. Cook and Jane Sullivan. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology, iScience, Physiological Genomics and Journal of Neurophysiology.
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.