S Kuno

1.1k citations
19 papers · 793 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Porphyrin Metabolism and Disorders 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • Herpesvirus Infections and Treatments 2

S Kuno

19 papers receiving 754 citations

Peers

S Kuno
Comparison fields: 5 of 91
  • Virology 251
  • Infectious Diseases 259
  • Immunology 120
  • Rheumatology 77
  • Molecular Biology 303
Replace Kunlong Ben with:
Kunlong Ben China
John‐Erik Stig Hansen Denmark
Julie Bestman‐Smith Canada
Robert Z. Maigetter United States
Jc Cortay France
Lois B. Allen United States
Christine V. Sapan United States
Fatema Z. Chowdhury United States
Sam Hopkins United States
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Citations per field
00.5×5.9×
Kunlong Ben · 1×
Citations per year

Countries citing papers authored by S Kuno

Since Specialization
Citations

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

Fields of papers citing papers by S Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1988423
2 198079
3 201752
4 197838
5 201734
6 198632
7 198523
8 198622
9
[The intraocular pressure lowering effects of UF-021, a novel prostaglandin related compound, in animals].
199218
10 197614
11 198112
12
Pathogenicity of newly isolated coxsackievirus B4 for mouse pancreas.
198412
13 198010
14 19819
15 19908
16 19774
17 19801
18
Properties of hemolytic streptococci grown in glucose-containing medium.
19741
19 20081

About S Kuno

S Kuno is a scholar working on Molecular Biology, Epidemiology, Rheumatology, Infectious Diseases and Virology, having authored 19 papers that have together received 793 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (5 papers), Porphyrin Metabolism and Disorders (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), HIV Research and Treatment (3 papers), Herpesvirus Infections and Treatments (2 papers), Mosquito-borne diseases and control (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Virology (251 citations), Infectious Diseases (259 citations), Immunology (120 citations), Rheumatology (77 citations) and Molecular Biology (303 citations). S Kuno has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Ryuji Ueno, David J. Looney, Flossie Wong‐Staal, Hiroaki Mitsuya, Samuel Broder, Tetsuo Toraya, Saburo Fukui, R Ueno, Osamu Hayaishi and S. Honda. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Bacteriology, Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Virology.

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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