Yusuke Koga
Impact in
-
- Cancer Genomics and Diagnostics
-
- Microtubule and mitosis dynamics
- Muscle metabolism and nutrition
Papers in
-
- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 2
- Gene expression and cancer classification 2
-
- Cell Image Analysis Techniques 2
- Co-authors
- Joshua David Campbell (7 shared papers)Masanao Yajima (4 shared papers)Zhe Wang (4 shared papers)William Evan Johnson (4 shared papers)Sean E. Corbett (2 shared papers)Shiyi Yang (2 shared papers)Mitsuhiro Furuse (4 shared papers)Nicole M. Hermance (1 shared paper)
- Journals
- Nature (1 paper)The Journal of Immunology (1 paper)Genome biology (1 paper)Frontiers in Genetics (1 paper)Current Eye Research (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Yusuke Koga
20 papers receiving 827 citations
Yusuke Koga's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 132
- Cell Biology 114
- Molecular Biology 415
- Immunology 107
- Biophysics 28
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decontamination of ambient RNA in single-cell RNA-seq with DecontX Hit paper breakdown → | 2020 | 321 |
| 2 | 2021 | 184 | |
| 3 | 2020 | 68 | |
| 4 | 2005 | 58 | |
| 5 | 2022 | 50 | |
| 6 | 2016 | 29 | |
| 7 | 2022 | 23 | |
| 8 | 2017 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2003 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 1993 | 10 | |
| 14 | 2023 | 4 | |
| 15 | 2003 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2004 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2025 | 1 |
About Yusuke Koga
Yusuke Koga is a scholar working on Molecular Biology, Biophysics, Animal Science and Zoology, Behavioral Neuroscience and Immunology, having authored 21 papers that have together received 838 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (2 papers), Cell Image Analysis Techniques (2 papers), Gene expression and cancer classification (2 papers), Animal Nutrition and Physiology (2 papers), Advanced Data Storage Technologies (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (132 citations), Cell Biology (114 citations), Molecular Biology (415 citations), Immunology (107 citations) and Biophysics (28 citations). Yusuke Koga has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Joshua David Campbell, Masanao Yajima, Zhe Wang, William Evan Johnson, Sean E. Corbett, Shiyi Yang, Mitsuhiro Furuse, Nicole M. Hermance, Alison Marie Taylor and Amity L. Manning. Their work appears in journals such as Nature, The Journal of Immunology, Genome biology, Frontiers in Genetics and Current Eye Research.
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.