G. Kuno

2.5k total citations
30 papers, 2.0k citations indexed

About

G. Kuno is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, G. Kuno has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 18 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in G. Kuno's work include Mosquito-borne diseases and control (27 papers), Viral Infections and Vectors (16 papers) and Malaria Research and Control (6 papers). G. Kuno is often cited by papers focused on Mosquito-borne diseases and control (27 papers), Viral Infections and Vectors (16 papers) and Malaria Research and Control (6 papers). G. Kuno collaborates with scholars based in United States, Puerto Rico and Tanzania. G. Kuno's co-authors include Gwong‐Jen J. Chang, D. J. Gubler, Duane J. Gubler, I. Gómez, A. Oliver, Gladys E. Sather, Stephen H. Waterman, C.J. Leake, G. C. Smith and C J Mitchell and has published in prestigious journals such as Journal of Clinical Microbiology, American Journal of Tropical Medicine and Hygiene and Journal of Medical Virology.

In The Last Decade

G. Kuno

30 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Kuno United States 20 1.9k 1.6k 229 205 203 30 2.0k
Bruce C. Cropp United States 20 1.8k 1.0× 1.7k 1.1× 137 0.6× 197 1.0× 222 1.1× 21 2.1k
A. Vance Vorndam United States 17 2.2k 1.2× 1.8k 1.2× 149 0.7× 188 0.9× 144 0.7× 23 2.4k
D. J. Gubler United States 22 2.6k 1.4× 2.0k 1.3× 226 1.0× 194 0.9× 106 0.5× 27 2.7k
Haolin Ni United States 17 1.3k 0.7× 1.1k 0.7× 125 0.5× 316 1.5× 247 1.2× 23 1.5k
José G. Estrada-Franco United States 21 1.1k 0.6× 801 0.5× 151 0.7× 267 1.3× 283 1.4× 32 1.3k
T. F. Tsai United States 17 1.2k 0.7× 1.1k 0.7× 83 0.4× 193 0.9× 114 0.6× 20 1.4k
Claudia Fortuna Italy 19 2.3k 1.2× 2.0k 1.3× 295 1.3× 136 0.7× 235 1.2× 50 2.6k
Barbara W. Johnson United States 24 1.3k 0.7× 1.2k 0.7× 189 0.8× 153 0.7× 145 0.7× 41 1.5k
David W.C. Beasley United States 12 1.1k 0.6× 1.0k 0.6× 172 0.8× 179 0.9× 113 0.6× 15 1.2k
Kirsten A. Duda United Kingdom 11 1.2k 0.6× 828 0.5× 126 0.6× 141 0.7× 144 0.7× 15 1.5k

Countries citing papers authored by G. Kuno

Since Specialization
Citations

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

Fields of papers citing papers by G. Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kuno

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kuno. A scholar is included among the top collaborators of G. Kuno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Kuno. G. Kuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kuno, G., et al.. (2011). Studies on the Role of Superoxide Anion Radicals for the Cardiotoxicity of Adrenochrome. Arzneimittelforschung. 51(12). 964–970. 6 indexed citations
2.
Kuno, G.. (2007). Host Range Specificity of Flaviviruses: Correlation with In Vitro Replication. Journal of Medical Entomology. 44(1). 93–101. 41 indexed citations
3.
Kuno, G.. (2007). Host Range Specificity of Flaviviruses: Correlation with In Vitro Replication. Journal of Medical Entomology. 44(1). 93–101. 53 indexed citations
4.
Kuno, G. & Gwong‐Jen J. Chang. (2006). Full-length sequencing and genomic characterization of Bagaza, Kedougou, and Zika viruses. Archives of Virology. 152(4). 687–696. 401 indexed citations
5.
Kuno, G.. (2001). Persistence of arboviruses and antiviral antibodies in vertebrate hosts: its occurrence and impacts†. Reviews in Medical Virology. 11(3). 165–190. 78 indexed citations
6.
Kuno, G.. (2001). Transmission of arboviruses without involvement of arthropod vectors.. PubMed. 45(3). 139–50. 31 indexed citations
7.
Kuno, G., Harvey Artsob, Nick Karabatsos, Kiyotaka R. Tsuchiya, & Gwong‐Jen J. Chang. (2001). Genomic sequencing of deer tick virus and phylogeny of powassan-related viruses of North America.. American Journal of Tropical Medicine and Hygiene. 65(5). 671–676. 74 indexed citations
8.
Kuno, G., et al.. (1998). Evaluation of an IgM immunoblot kit for dengue diagnosis.. American Journal of Tropical Medicine and Hygiene. 59(5). 757–762. 29 indexed citations
9.
Kuno, G., C J Mitchell, Gwong‐Jen J. Chang, & G. C. Smith. (1996). Detecting bunyaviruses of the Bunyamwera and California serogroups by a PCR technique. Journal of Clinical Microbiology. 34(5). 1184–1188. 91 indexed citations
10.
Dj, Gubler, et al.. (1996). The 1986 dengue and dengue hemorrhagic fever epidemic in Puerto Rico: epidemiologic and clinical observations.. PubMed. 15(3). 201–10. 50 indexed citations
11.
Kuno, G., Duane J. Gubler, & A. Oliver. (1993). Use of ‘original antigenic sin’ theory to determine the serotypes of previous dengue infections. Transactions of the Royal Society of Tropical Medicine and Hygiene. 87(1). 103–105. 41 indexed citations
12.
Kuno, G.. (1993). Computer literature searches on dengue.. PubMed. 71(2). 165–72. 1 indexed citations
13.
Kuno, G., I. Gómez, & Duane J. Gubler. (1991). An ELISA procedure for the diagnosis of dengue infections. Journal of Virological Methods. 33(1-2). 101–113. 175 indexed citations
14.
Kuno, G., A. Vance Vorndam, D. J. Gubler, & I. Gómez. (1990). Study of anti‐dengue NS1 antibody by Western blot. Journal of Medical Virology. 32(2). 102–108. 40 indexed citations
15.
Kuno, G. & A. Oliver. (1989). Maintaining mosquito cell lines at high tempetatures: Effects on the replication of flaviviruses. In Vitro Cellular & Developmental Biology - Plant. 25(2). 193–196. 24 indexed citations
16.
Gubler, D. J., et al.. (1984). Mosquito Cell Cultures and Specific Monoclonal Antibodies in Surveillance for Dengue Viruses. American Journal of Tropical Medicine and Hygiene. 33(1). 158–165. 325 indexed citations
17.
Brooks, J B, et al.. (1983). Studies of metabolic changes in cell cultures infected with four serotypes of dengue fever viruses by frequency-pulsed electron-capture gas—liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 276(2). 279–288. 7 indexed citations
18.
Kuno, G.. (1982). Dengue virus replication in a polyploid mosquito cell culture grown in serum-free medium. Journal of Clinical Microbiology. 16(5). 851–855. 15 indexed citations
19.
Kuno, G., et al.. (1975). Production of larval growth retardant in axenic cultures of Aedes aegypti.. Mosquito news. 35(2). 199–201. 13 indexed citations
20.
Kuno, G., W.F. Hink, & John D. Briggs. (1971). Growth-promoting serum proteins for Aedes aegypti cells cultured in vitro. Journal of Insect Physiology. 17(10). 1865–1879. 10 indexed citations

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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