Ken Kono

606 citations
29 papers · 498 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • Viral gastroenteritis research and epidemiology

Papers in

    • HIV Research and Treatment 15
    • Virus-based gene therapy research 5
    • Diabetes and associated disorders 3

Ken Kono

29 papers receiving 493 citations

Peers

Ken Kono
Comparison fields: 5 of 50
  • Virology 206
  • Infectious Diseases 149
  • Immunology 154
  • Genetics 140
  • Epidemiology 94
Replace Hidetoshi Ikeda with:
Hidetoshi Ikeda Japan
Eva-Maria Kuhn Germany
Anne‐Laure Favier France
Hollie Hale‐Donze United States
Sara Bonetto Italy
P. Li Australia
Xiaoxing Qiu United States
Keith Crawford United States
Efrat Kochba United States
Ronnie M. Russell United States
Ken Kono relative to Hidetoshi Ikeda Japan Hidetoshi Ikeda's profile →
Citations per field
00.5×2.7×
Hidetoshi Ikeda · 1×
Citations per year

Countries citing papers authored by Ken Kono

Since Specialization
Citations

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

Fields of papers citing papers by Ken Kono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004111
2 200646
3 201337
4 201333
5 201033
6 200830
7 201223
8 201022
9 201120
10 201118
11 201418
12 201314
13 201611
14 200911
15 20109
16 20208
17 20197
18 20157
19 20087
20 20136

About Ken Kono

Ken Kono is a scholar working on Virology, Genetics, Infectious Diseases, Molecular Biology and Immunology, having authored 29 papers that have together received 498 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (7 papers), Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers), Pluripotent Stem Cells Research (4 papers), Herpesvirus Infections and Treatments (4 papers), Diabetes and associated disorders (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Virology (206 citations), Infectious Diseases (149 citations), Immunology (154 citations), Genetics (140 citations) and Epidemiology (94 citations). Ken Kono has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Emi E. Nakayama, Tatsuo Shioda, Steven Tracy, Kristen M. Drescher, Steven D. Carson, Shubhada Bopegamage, Rumi Sawada, Masaru Yokoyama, Hironori Sato and Akio Adachi. Their work appears in journals such as PLoS ONE, Virology, Journal of Virology, Biologicals and Scientific Reports.

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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