Takahiro Chihara
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 8
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- Neurobiology and Insect Physiology Research 18
- Cell Biology top 5%
- Cellular transport and secretion 7
- Microtubule and mitosis dynamics 5
- Endoplasmic Reticulum Stress and Disease 5
- Hippo pathway signaling and YAP/TAZ 5
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation 5
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- Invertebrate Immune Response Mechanisms 11
- Co-authors
- Masayuki MiuraLiqun LuoShigeo HayashiMisako OkumuraKagayaki KatoDavid J. LuginbuhlHiromichi NakabayashiEiichi Nakai
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (3 papers)
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Takahiro Chihara
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Aging 97
- Cellular and Molecular Neuroscience 376
- Cell Biology 327
- Molecular Biology 767
- Immunology 199
Countries citing papers authored by Takahiro Chihara
This map shows the geographic impact of Takahiro Chihara'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 Takahiro Chihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Chihara more than expected).
Fields of papers citing papers by Takahiro Chihara
This network shows the impact of papers produced by Takahiro Chihara. 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 Takahiro Chihara. The network helps show where Takahiro Chihara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takahiro Chihara, 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 | 2023 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 19 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 32 | |
| 13 | 2015 | 24 | |
| 14 | 2015 | 15 | |
| 15 | 2014 | 22 | |
| 16 | 2010 | 29 | |
| 17 | 2009 | 11 | |
| 18 | 2006 | 69 | |
| 19 | 2004 | 43 | |
| 20 | 1999 | 32 |
About Takahiro Chihara
Takahiro Chihara is a scholar working on Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (18 papers), Invertebrate Immune Response Mechanisms (11 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Cellular transport and secretion (7 papers), Microtubule and mitosis dynamics (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Aging (97 citations), Cellular and Molecular Neuroscience (376 citations) and Cell Biology (327 citations). Takahiro Chihara has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Masayuki Miura, Liqun Luo, Shigeo Hayashi, Misako Okumura, Kagayaki Kato, David J. Luginbuhl, Hiromichi Nakabayashi, Eiichi Nakai, Toshio Yawata and Keiji Shimizu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.