Tatsuya Uebi
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- Protease and Inhibitor Mechanisms 2
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- S100 Proteins and Annexins 4
- Protein Kinase Regulation and GTPase Signaling 2
- Receptor Mechanisms and Signaling 2
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- Neurobiology and Insect Physiology Research 7
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- Insect and Arachnid Ecology and Behavior 4
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- Insect and Pesticide Research 3
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- Olfactory and Sensory Function Studies 3
- Co-authors
- Hiroshi TakemoriNaofumi MiwaSatoru KawamuraNanao HorikeTakeshi ImaiMakoto UmedaKazuo KitagawaTsutomu Sasaki
- Journals
- FEBS Journal (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Tatsuya Uebi
23 papers receiving 534 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 70
- Molecular Biology 312
- Cellular and Molecular Neuroscience 76
- Neurology 32
- Endocrine and Autonomic Systems 24
Countries citing papers authored by Tatsuya Uebi
This map shows the geographic impact of Tatsuya Uebi'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 Tatsuya Uebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Uebi more than expected).
Fields of papers citing papers by Tatsuya Uebi
This network shows the impact of papers produced by Tatsuya Uebi. 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 Tatsuya Uebi. The network helps show where Tatsuya Uebi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuya Uebi, 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 | 2022 | 3 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 6 | |
| 8 | 2018 | 15 | |
| 9 | 2016 | 35 | |
| 10 | 2014 | 42 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2013 | 6 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 127 | |
| 16 | 2011 | 33 | |
| 17 | 2010 | 16 | |
| 18 | 2009 | 47 | |
| 19 | 2008 | 45 | |
| 20 | 2007 | 13 |
About Tatsuya Uebi
Tatsuya Uebi is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Insect Science, having authored 23 papers that have together received 542 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (4 papers), S100 Proteins and Annexins (4 papers), Insect and Pesticide Research (3 papers), Olfactory and Sensory Function Studies (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (70 citations), Molecular Biology (312 citations) and Cellular and Molecular Neuroscience (76 citations). Tatsuya Uebi has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Hiroshi Takemori, Naofumi Miwa, Satoru Kawamura, Nanao Horike, Takeshi Imai, Makoto Umeda, Kazuo Kitagawa, Tsutomu Sasaki, Mitsuhiro Tamura and Yoshiko Hashimoto. Their work appears in journals such as FEBS Journal, American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry, Scientific Reports and Journal of Investigative Dermatology.
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.