Tetsuya Tabata
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ 7
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- Neurobiology and Insect Physiology Research 16
- Axon Guidance and Neuronal Signaling 8
- Aging top 2%
- Molecular Biology top 2%
- Developmental Biology and Gene Regulation 25
- Wnt/β-catenin signaling in development and cancer 7
- Plant tissue culture and regeneration 6
- Developmental Biology top 5%
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- Viral-associated cancers and disorders 9
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- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Thomas B. KornbergYuki TakeiMakoto SatoTakuya NakayamaHiromu TanimotoSuzanne EatonKazuhide TsuneizumiKoji Mikami
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Tetsuya Tabata
68 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cell Biology 1.1k
- Cellular and Molecular Neuroscience 1.2k
- Aging 104
- Molecular Biology 4.0k
- Developmental Biology 70
Countries citing papers authored by Tetsuya Tabata
This map shows the geographic impact of Tetsuya Tabata'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 Tetsuya Tabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Tabata more than expected).
Fields of papers citing papers by Tetsuya Tabata
This network shows the impact of papers produced by Tetsuya Tabata. 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 Tetsuya Tabata. The network helps show where Tetsuya Tabata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuya Tabata, 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 | 2024 | 10 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 20 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 25 | |
| 6 | 2016 | 47 | |
| 7 | 2011 | 87 | |
| 8 | 2011 | 6 | |
| 9 | 2011 | 47 | |
| 10 | 2010 | 86 | |
| 11 | 2010 | 9 | |
| 12 | 2006 | 4 | |
| 13 | 2002 | 223 | |
| 14 | 2001 | 102 | |
| 15 | 1997 | 2 | |
| 16 | 1995 | 11 | |
| 17 | Hedgehog is a signaling protein with a key role in patterning Drosophila imaginal discsbreakdown → | 1994 | 548 |
| 18 | 1990 | 8 | |
| 19 | 1989 | 9 | |
| 20 | 1989 | 30 |
About Tetsuya Tabata
Tetsuya Tabata is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 69 papers that have together received 4.7k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (25 papers), Neurobiology and Insect Physiology Research (16 papers), Viral-associated cancers and disorders (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Axon Guidance and Neuronal Signaling (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Plant tissue culture and regeneration (6 papers). The work is most often cited by research in Cell Biology (1.1k citations), Cellular and Molecular Neuroscience (1.2k citations), Aging (104 citations), Molecular Biology (4.0k citations) and Developmental Biology (70 citations). Tetsuya Tabata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Thomas B. Kornberg, Yuki Takei, Makoto Sato, Takuya Nakayama, Hiromu Tanimoto, Suzanne Eaton, Kazuhide Tsuneizumi, Koji Mikami, Daiki Umetsu and Peter ten Dijke. Their work appears in journals such as Development, Plant and Cell Physiology, FEBS Letters, Nature and Journal of Clinical and Experimental Hematopathology.
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.