Jun Takatoh
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
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- Neuroscience of respiration and sleep
Papers in
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- Neural dynamics and brain function 12
- Sleep and Wakefulness Research 2
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- Neuroscience and Neuropharmacology Research 6
- Photoreceptor and optogenetics research 4
- Co-authors
- Fan Wang (18 shared papers)Bao-Xia Han (7 shared papers)Katsuyasu Sakurai (4 shared papers)Richard Mooney (3 shared papers)Xiang Zhou (3 shared papers)Shengli Zhao (6 shared papers)Anders Nelson (2 shared papers)Erica Rodriguez (3 shared papers)
- Journals
- Neuron (6 papers)Cell Reports (2 papers)eLife (2 papers)eNeuro (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Jun Takatoh
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Developmental Biology 73
- Endocrine and Autonomic Systems 208
- Cognitive Neuroscience 478
- Cellular and Molecular Neuroscience 359
- Sensory Systems 85
Countries citing papers authored by Jun Takatoh
This map shows the geographic impact of Jun Takatoh'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 Takatoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takatoh more than expected).
Fields of papers citing papers by Jun Takatoh
This network shows the impact of papers produced by Jun Takatoh. 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 Takatoh. The network helps show where Jun Takatoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Takatoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 144 | |
| 2 | 2016 | 126 | |
| 3 | 2019 | 120 | |
| 4 | 2014 | 91 | |
| 5 | 2015 | 90 | |
| 6 | 2013 | 89 | |
| 7 | 2011 | 75 | |
| 8 | 2016 | 57 | |
| 9 | 2022 | 51 | |
| 10 | 2013 | 47 | |
| 11 | 2018 | 43 | |
| 12 | 2017 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2021 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2013 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2008 | 12 | |
| 20 | 2017 | 12 |
About Jun Takatoh
Jun Takatoh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Social Psychology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience of respiration and sleep (5 papers), Neuroendocrine regulation and behavior (4 papers), Photoreceptor and optogenetics research (4 papers), Olfactory and Sensory Function Studies (3 papers), Infant Health and Development (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Developmental Biology (73 citations), Endocrine and Autonomic Systems (208 citations), Cognitive Neuroscience (478 citations), Cellular and Molecular Neuroscience (359 citations) and Sensory Systems (85 citations). Jun Takatoh has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Fan Wang, Bao-Xia Han, Katsuyasu Sakurai, Richard Mooney, Xiang Zhou, Shengli Zhao, Anders Nelson, Erica Rodriguez, Jinghao Lu and David M. Schneider. Their work appears in journals such as Neuron, Cell Reports, eLife, eNeuro and 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.