Takeharu Nagai
- Biophysics top 0.02%
- Advanced Fluorescence Microscopy Techniques 79
- Cell Image Analysis Techniques 26
- Cellular and Molecular Neuroscience top 0.2%
- Photoreceptor and optogenetics research 41
- Neuroscience and Neuropharmacology Research 14
- Molecular Biology top 0.2%
- bioluminescence and chemiluminescence research 37
- Advanced biosensing and bioanalysis techniques 19
- Photosynthetic Processes and Mechanisms 15
- Mitochondrial Function and Pathology 13
- Aging top 1%
- Developmental Neuroscience top 1%
Takeharu Nagai
220 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Biophysics 3.2k
- Cellular and Molecular Neuroscience 4.1k
- Molecular Biology 10.6k
- Aging 235
- Developmental Neuroscience 491
Countries citing papers authored by Takeharu Nagai
This map shows the geographic impact of Takeharu Nagai'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 Takeharu Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeharu Nagai more than expected).
Fields of papers citing papers by Takeharu Nagai
This network shows the impact of papers produced by Takeharu Nagai. 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 Takeharu Nagai. The network helps show where Takeharu Nagai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeharu Nagai, 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 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 25 | |
| 11 | 2021 | 93 | |
| 12 | 2021 | 2 | |
| 13 | Optical inactivation of calcium-permeable AMPA receptors for artificial memory erasure | 2016 | 1 |
| 14 | 2015 | 102 | |
| 15 | An Expanded Palette of Genetically Encoded Ca 2+ Indicatorsbreakdown → | 2011 | 993 |
| 16 | Visualization of ATP levels inside single living cells with fluorescence resonance energy transfer-based genetically encoded indicatorsbreakdown → | 2009 | 820 |
| 17 | 2007 | 54 | |
| 18 | Expanded dynamic range of fluorescent indicators for Ca 2+ by circularly permuted yellow fluorescent proteinsbreakdown → | 2004 | 844 |
| 19 | 2004 | 137 | |
| 20 | 1998 | 168 |
About Takeharu Nagai
Takeharu Nagai is a scholar working on Biophysics, Structural Biology and Cellular and Molecular Neuroscience, having authored 228 papers that have together received 15.4k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (79 papers), Photoreceptor and optogenetics research (41 papers), bioluminescence and chemiluminescence research (37 papers), Cell Image Analysis Techniques (26 papers), Advanced biosensing and bioanalysis techniques (19 papers), Photosynthetic Processes and Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Mitochondrial Function and Pathology (13 papers). The work is most often cited by research in Biophysics (3.2k citations), Cellular and Molecular Neuroscience (4.1k citations) and Molecular Biology (10.6k citations). Takeharu Nagai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Atsushi Miyawaki, Katsuhiko Mikoshiba, Mie Kubota, Keiji Ibata, Tomoki Matsuda, Jun Aruga, Masahiro Nakano, Asako Sakaue‐Sawano, Yasunori Hayashi and Kenichi Okamoto. Their work appears in journals such as Nature, Science 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.