Yusuke Koga
Impact in
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- Cancer Genomics and Diagnostics
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Muscle metabolism and nutrition
Papers in
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- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
- DNA Repair Mechanisms 1
- Co-authors
- Joshua D. Campbell (9 shared papers)Masanao Yajima (5 shared papers)W. Evan Johnson (5 shared papers)Zhe Wang (5 shared papers)Sean Corbett (2 shared papers)Shiyi Yang (2 shared papers)Alison M. Taylor (2 shared papers)Amity L. Manning (2 shared papers)
- Journals
- Nature (2 papers)Japanese Journal of Ophthalmology (1 paper)Clinical Cancer Research (1 paper)Genome biology (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Yusuke Koga
21 papers receiving 696 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 116
- Cell Biology 105
- Molecular Biology 368
- Biophysics 26
- Immunology 83
Countries citing papers authored by Yusuke Koga
This map shows the geographic impact of Yusuke Koga'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 Yusuke Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Koga more than expected).
Fields of papers citing papers by Yusuke Koga
This network shows the impact of papers produced by Yusuke Koga. 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 Yusuke Koga. The network helps show where Yusuke Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Koga, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 243 | |
| 2 | 2021 | 158 | |
| 3 | 2020 | 59 | |
| 4 | 2005 | 55 | |
| 5 | 2022 | 43 | |
| 6 | 2016 | 27 | |
| 7 | 2017 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2013 | 16 | |
| 10 | 2012 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 1993 | 10 | |
| 13 | 2003 | 9 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2003 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2004 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Yusuke Koga
Yusuke Koga is a scholar working on Molecular Biology, Social Psychology, Information Systems and Management, Animal Science and Zoology and Epidemiology, having authored 23 papers that have together received 700 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (2 papers), Cell Image Analysis Techniques (2 papers), Animal Nutrition and Physiology (2 papers), Scientific Computing and Data Management (2 papers), Gene Regulatory Network Analysis (2 papers), Ophthalmology and Visual Impairment Studies (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (116 citations), Cell Biology (105 citations), Molecular Biology (368 citations), Biophysics (26 citations) and Immunology (83 citations). Yusuke Koga has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Joshua D. Campbell, Masanao Yajima, W. Evan Johnson, Zhe Wang, Sean Corbett, Shiyi Yang, Alison M. Taylor, Amity L. Manning, Mitsuhiro Furuse and D. Michael Denbow. Their work appears in journals such as Nature, Japanese Journal of Ophthalmology, Clinical Cancer Research, Genome biology and Neuroscience.
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.