Chutikarn Chaimayo

20 total papers · 1.2k total citations
11 papers, 351 citations indexed

About

Chutikarn Chaimayo is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Chutikarn Chaimayo has authored 11 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Chutikarn Chaimayo's work include Respiratory viral infections research (4 papers), Influenza Virus Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Chutikarn Chaimayo is often cited by papers focused on Respiratory viral infections research (4 papers), Influenza Virus Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Chutikarn Chaimayo collaborates with scholars based in Thailand, United States and Brazil. Chutikarn Chaimayo's co-authors include Toru Takimoto, Tsuyoshi Hayashi, Wannee Kantakamalakul, Navin Horthongkham, Ruengpung Sutthent, Niracha Athipanyasilp, Suebwong Chuthapisith, Rujipas Sirijatuphat, Theerawoot Tharmviboonsri and Methee Chayakulkeeree and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Chutikarn Chaimayo

9 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chutikarn Chaimayo 200 102 97 90 51 11 351
Kathleen Gärtner 121 0.6× 104 1.0× 113 1.2× 57 0.6× 72 1.4× 14 382
Eleanor G. Bentley 141 0.7× 69 0.7× 110 1.1× 21 0.2× 63 1.2× 9 336
Pavel Marichal‐Gallardo 127 0.6× 86 0.8× 224 2.3× 47 0.5× 20 0.4× 17 363
Bernadien M. Nijmeijer 133 0.7× 101 1.0× 105 1.1× 52 0.6× 114 2.2× 12 360
David Skibinski 81 0.4× 91 0.9× 122 1.3× 24 0.3× 127 2.5× 15 382
Tsai-Lien Lin 110 0.6× 105 1.0× 124 1.3× 36 0.4× 68 1.3× 10 324
Niracha Athipanyasilp 238 1.2× 101 1.0× 69 0.7× 92 1.0× 6 0.1× 11 355
Wu-Tse Liu 271 1.4× 85 0.8× 67 0.7× 13 0.1× 55 1.1× 9 387
Arnold Catsburg 69 0.3× 122 1.2× 82 0.8× 33 0.4× 49 1.0× 13 324
Madhu Prabhakaran 69 0.3× 186 1.8× 91 0.9× 29 0.3× 164 3.2× 11 355

Countries citing papers authored by Chutikarn Chaimayo

Since Specialization
Citations

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

Fields of papers citing papers by Chutikarn Chaimayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chutikarn Chaimayo

This figure shows the co-authorship network connecting the top 25 collaborators of Chutikarn Chaimayo. A scholar is included among the top collaborators of Chutikarn Chaimayo 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 Chutikarn Chaimayo. Chutikarn Chaimayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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