Takeshi Ishihara
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 41
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- Circadian rhythm and melatonin 26
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 14
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 13
- Physiology top 1%
- Alzheimer's disease research and treatments 25
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- Neuroendocrine regulation and behavior 17
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- Olfactory and Sensory Function Studies 14
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- Stress Responses and Cortisol 10
- Co-authors
- Isao KatsuraJohn Q. TrojanowskiManabi FujiwaraVirginia M.‐Y. LeeSeishi TeradaBin ZhangTakayuki TeramotoMing Hong
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takeshi Ishihara
143 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Aging 1.1k
- Endocrine and Autonomic Systems 738
- Cellular and Molecular Neuroscience 1.9k
- Neurology 671
- Physiology 1.7k
Countries citing papers authored by Takeshi Ishihara
This map shows the geographic impact of Takeshi Ishihara'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 Takeshi Ishihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Ishihara more than expected).
Fields of papers citing papers by Takeshi Ishihara
This network shows the impact of papers produced by Takeshi Ishihara. 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 Takeshi Ishihara. The network helps show where Takeshi Ishihara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeshi Ishihara, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 59 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 34 | |
| 10 | 2017 | 52 | |
| 11 | 2016 | 19 | |
| 12 | An Expanded Palette of Genetically Encoded Ca 2+ Indicatorsbreakdown → | 2011 | 993 |
| 13 | 2010 | 17 | |
| 14 | 2009 | 3 | |
| 15 | 2005 | 101 | |
| 16 | 2004 | 37 | |
| 17 | 2002 | 36 | |
| 18 | 2001 | 124 | |
| 19 | 1999 | 446 | |
| 20 | 1990 | 157 |
About Takeshi Ishihara
Takeshi Ishihara is a scholar working on Aging, Endocrine and Autonomic Systems and Sensory Systems, having authored 149 papers that have together received 6.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (41 papers), Circadian rhythm and melatonin (26 papers), Alzheimer's disease research and treatments (25 papers), Neuroendocrine regulation and behavior (17 papers), Neuroscience and Neuropharmacology Research (14 papers), Olfactory and Sensory Function Studies (14 papers), Parkinson's Disease Mechanisms and Treatments (13 papers) and Stress Responses and Cortisol (10 papers). The work is most often cited by research in Aging (1.1k citations), Endocrine and Autonomic Systems (738 citations) and Cellular and Molecular Neuroscience (1.9k citations). Takeshi Ishihara has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Isao Katsura, John Q. Trojanowski, Manabi Fujiwara, Virginia M.‐Y. Lee, Seishi Terada, Bin Zhang, Takayuki Teramoto, Ming Hong, Shigetoshi Kuroda and Takeharu Nagai. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.