Yu Kato

7.7k citations
14 papers · 1.2k indexed · 1 hit paper · h-index 10
  • Immunology top 5%
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 4
    • interferon and immune responses 1
    • Heat shock proteins research 2
  • Cell Biology top 10%
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 3
    • Viral gastroenteritis research and epidemiology 1

Yu Kato

14 papers receiving 1.2k citations

Hit Papers

BMK1/ERK5 regulates serum-induced early gene expression t...5111997202620062016100200300400500

Peers

Yu Kato
Comparison fields: 5 of 89
  • Immunology 522
  • Molecular Biology 721
  • Cell Biology 114
  • Oncology 164
  • Virology 27
Replace Svend Kjær with:
Svend Kjær United Kingdom
T. Wilson United States
Marie-José Bijlmakers United Kingdom
Sunil S. Metkar United States
Voahirana Camosseto France
Robin M. Meyers United States
Heather Hinton Switzerland
Androulla Elia United Kingdom
Catelijne Stortelers Belgium
Béatrice Kunz Switzerland
Yu Kato relative to Svend Kjær United Kingdom Svend Kjær's profile →
Citations per field
00.5×1.5×
Svend Kjær · 1×
Citations per year

Countries citing papers authored by Yu Kato

Since Specialization
Citations

This map shows the geographic impact of Yu Kato'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 Yu Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Kato more than expected).

Fields of papers citing papers by Yu Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Kato. 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 Yu Kato. The network helps show where Yu Kato may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yu Kato, 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 Yu Kato Line = papers co-authored together Yu Kato links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20243
2 20227
3 20229
4 20226
5 202164
6 2020135
7 202011
8 201963
9 201827
10 201557
11 201221
12 2011123
13 2011177
14
BMK1/ERK5 regulates serum-induced early gene expression through transcription factor MEF2Cbreakdown →
1997511

About Yu Kato

Yu Kato is a scholar working on Immunology, Modeling and Simulation and Infectious Diseases, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Heat shock proteins research (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (522 citations), Molecular Biology (721 citations) and Cell Biology (114 citations). Yu Kato has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include William R. Heath, Irina Caminschi, Scott N. Mueller, Mireille H. Lahoud, Thiago M. Steiner, Heiichiro Udono, Ken Shortman, Shusaku Mizukami, Gayle M. Davey and Chiaki Kajiwara. Their work appears in journals such as The Journal of Immunology, The EMBO Journal, Current Opinion in Immunology, Immunity and Communications Biology.

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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