Tetsuya Handa
Impact in
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- RNA modifications and cancer
Papers in
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- Genomics and Chromatin Dynamics 12
- Epigenetics and DNA Methylation 8
- CRISPR and Genetic Engineering 6
- Single-cell and spatial transcriptomics 4
- DNA Repair Mechanisms 3
- Fungal and yeast genetics research 2
- RNA Research and Splicing 2
- Genetics 3
- Co-authors
- Hiroshi Kimurâ (13 shared papers)Yasuyuki Ohkawa (8 shared papers)Kazumitsu Maehara (5 shared papers)Hitoshi Kurumizaka (5 shared papers)Akihito Harada (4 shared papers)Jumpei Nogami (2 shared papers)Katsuhiko Shirahige (2 shared papers)Yoko Hayashi‐Takanaka (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)Nature Communications (3 papers)PLoS ONE (1 paper)Stem Cells (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tetsuya Handa
18 papers receiving 460 citations
Peers
Comparison fields: 5 of 63
- Aging 13
- Molecular Biology 396
- Biophysics 21
- Cancer Research 47
- Genetics 43
Countries citing papers authored by Tetsuya Handa
This map shows the geographic impact of Tetsuya Handa'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 Handa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Handa more than expected).
Fields of papers citing papers by Tetsuya Handa
This network shows the impact of papers produced by Tetsuya Handa. 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 Handa. The network helps show where Tetsuya Handa may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuya Handa, 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 | 2018 | 119 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 39 | |
| 4 | 2016 | 36 | |
| 5 | 2012 | 35 | |
| 6 | 2021 | 33 | |
| 7 | 2017 | 31 | |
| 8 | 2023 | 27 | |
| 9 | 2021 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2024 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 4 | |
| 16 | 2018 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 1 |
About Tetsuya Handa
Tetsuya Handa is a scholar working on Molecular Biology, Genetics, Immunology and Allergy, Physiology and Reproductive Medicine, having authored 18 papers that have together received 468 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (8 papers), CRISPR and Genetic Engineering (6 papers), Single-cell and spatial transcriptomics (4 papers), DNA Repair Mechanisms (3 papers), Fungal and yeast genetics research (2 papers), RNA Research and Splicing (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (13 citations), Molecular Biology (396 citations), Biophysics (21 citations), Cancer Research (47 citations) and Genetics (43 citations). Tetsuya Handa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Kimurâ, Yasuyuki Ohkawa, Kazumitsu Maehara, Hitoshi Kurumizaka, Akihito Harada, Jumpei Nogami, Katsuhiko Shirahige, Yoko Hayashi‐Takanaka, Yasuhiro Arimura and Hisao Masukata. Their work appears in journals such as The Journal of Cell Biology, Nature Communications, PLoS ONE, Stem Cells and Molecular Biology of the Cell.
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.