Yusuke Koga

1.4k citations
24 papers · 677 · h-index 11

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • Gene Regulatory Network Analysis 2
    • Gene expression and cancer classification 2
    • Immunotherapy and Immune Responses 2

Yusuke Koga

22 papers receiving 673 citations

Peers

Yusuke Koga
Comparison fields: 5 of 91
  • Cancer Research 138
  • Cell Biology 104
  • Molecular Biology 384
  • Immunology 109
  • Virology 24
Replace Annelien Verfaillie with:
Annelien Verfaillie Belgium
Changyu Sun China
Laurence Delacroix Belgium
Minyi Shi United States
Marco Schiavone Italy
Arwa S. Kathiria United States
Rico Barsacchi Germany
Ivan Yevshin Russia
Gerco Hassink Netherlands
Ruslan Sharipov Russia
Yusuke Koga relative to Annelien Verfaillie Belgium Annelien Verfaillie's profile →
Citations per field
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Annelien Verfaillie · 1×
Citations per year

Countries citing papers authored by Yusuke Koga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yusuke Koga Line = papers co-authored together Yusuke Koga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020219
2 2021150
3 202058
4 200554
5 202235
6 201626
7 199224
8 201718
9 202216
10 201316
11 201211
12 201910
13 199310
14 20039
15 20214
16 20203
17 20033
18 20233
19 20043
20 20232

About Yusuke Koga

Yusuke Koga is a scholar working on Molecular Biology, Immunology, Social Psychology, Information Systems and Management and Animal Science and Zoology, having authored 24 papers that have together received 677 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Animal Nutrition and Physiology (2 papers), Cell Image Analysis Techniques (2 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), Gene Regulatory Network Analysis (2 papers), Scientific Computing and Data Management (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (138 citations), Cell Biology (104 citations), Molecular Biology (384 citations), Immunology (109 citations) and Virology (24 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, Shiyi Yang, Sean Corbett, Mitsuhiro Furuse, Alison M. Taylor, Ryan J. Quinton and Neil J. Ganem. Their work appears in journals such as Nature, Clinical Cancer Research, Neuroscience, Current Eye Research and Nature Communications.

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.

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