Shingo Usuki
Impact in
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- Sperm and Testicular Function
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- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
Papers in
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- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 2
- RNA modifications and cancer 2
- Co-authors
- Hitoshi Niwa (6 shared papers)Kumi Matsuura (4 shared papers)Sayoko Fujimura (3 shared papers)Kei‐ichiro Ishiguro (4 shared papers)Naoki Tani (3 shared papers)Kimi Araki (6 shared papers)Naoki Takeda (2 shared papers)Michihiko Sugimoto (1 shared paper)
- Journals
- Nature Communications (3 papers)iScience (2 papers)Science Advances (1 paper)Journal of Clinical Investigation (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Shingo Usuki
18 papers receiving 357 citations
Peers
Comparison fields: 5 of 61
- Reproductive Medicine 37
- Molecular Biology 277
- Aging 5
- Public Health, Environmental and Occupational Health 68
- Genetics 63
Countries citing papers authored by Shingo Usuki
This map shows the geographic impact of Shingo Usuki'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 Shingo Usuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Usuki more than expected).
Fields of papers citing papers by Shingo Usuki
This network shows the impact of papers produced by Shingo Usuki. 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 Shingo Usuki. The network helps show where Shingo Usuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Shingo Usuki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2021 | 61 | |
| 3 | 2018 | 28 | |
| 4 | 2022 | 26 | |
| 5 | 2024 | 26 | |
| 6 | 2021 | 25 | |
| 7 | 2023 | 18 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Shingo Usuki
Shingo Usuki is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Hematology and Cell Biology, having authored 22 papers that have together received 362 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers), DNA Repair Mechanisms (2 papers), Zebrafish Biomedical Research Applications (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Reproductive Medicine (37 citations), Molecular Biology (277 citations), Aging (5 citations), Public Health, Environmental and Occupational Health (68 citations) and Genetics (63 citations). Shingo Usuki has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Hitoshi Niwa, Kumi Matsuura, Sayoko Fujimura, Kei‐ichiro Ishiguro, Naoki Tani, Kimi Araki, Naoki Takeda, Michihiko Sugimoto, Mihoko Hosokawa and Mariko Yamane. Their work appears in journals such as Nature Communications, iScience, Science Advances, Journal of Clinical Investigation and Laboratory Investigation.
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.