Norihiro Takekawa
- Endocrinology top 5%
- Structural Biology top 10%
- Condensed Matter Physics top 10%
- Micro and Nano Robotics 8
- Genetics top 10%
- Bacterial Genetics and Biotechnology 12
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- Photoreceptor and optogenetics research 9
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- Protist diversity and phylogeny 9
- Lipid Membrane Structure and Behavior 3
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- Erythrocyte Function and Pathophysiology 8
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- Bacteriophages and microbial interactions 6
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- Microtubule and mitosis dynamics 3
- Co-authors
- Michio HommaSeiji KojimaKatsumi ImadaHajime FukuokaShiwei ZhuTohru MinaminoKeiichi NambaMayuko Sakuma
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Molecular Biology (1 paper)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesUkraine
In The Last Decade
Norihiro Takekawa
24 papers receiving 406 citations
Peers
Comparison fields: 5 of 53
- Endocrinology 95
- Structural Biology 23
- Condensed Matter Physics 86
- Genetics 189
- Cellular and Molecular Neuroscience 115
Countries citing papers authored by Norihiro Takekawa
This map shows the geographic impact of Norihiro Takekawa'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 Norihiro Takekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norihiro Takekawa more than expected).
Fields of papers citing papers by Norihiro Takekawa
This network shows the impact of papers produced by Norihiro Takekawa. 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 Norihiro Takekawa. The network helps show where Norihiro Takekawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norihiro Takekawa, 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 | 2022 | 4 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 4 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 36 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 17 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 26 | |
| 16 | 2015 | 23 | |
| 17 | 2013 | 22 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 11 | |
| 20 | 2011 | 46 |
About Norihiro Takekawa
Norihiro Takekawa is a scholar working on Condensed Matter Physics, Cellular and Molecular Neuroscience and Genetics, having authored 25 papers that have together received 407 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Photoreceptor and optogenetics research (9 papers), Protist diversity and phylogeny (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Micro and Nano Robotics (8 papers), Bacteriophages and microbial interactions (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Endocrinology (95 citations), Structural Biology (23 citations) and Condensed Matter Physics (86 citations). Norihiro Takekawa has collaborated with scholars based in Japan, United States and Ukraine. Frequent co-authors include Michio Homma, Seiji Kojima, Katsumi Imada, Hajime Fukuoka, Shiwei Zhu, Tohru Minamino, Keiichi Namba, Mayuko Sakuma, Soojin Kwon and Hiroyuki Terashima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Scientific Reports.
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.