Wipas Wimonsate

27 total papers · 1.1k total citations
23 papers, 869 citations indexed

About

Wipas Wimonsate is a scholar working on Infectious Diseases, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Wipas Wimonsate has authored 23 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 19 papers in Epidemiology and 15 papers in Sociology and Political Science. Recurrent topics in Wipas Wimonsate's work include HIV/AIDS Research and Interventions (21 papers), HIV, Drug Use, Sexual Risk (19 papers) and Sex work and related issues (15 papers). Wipas Wimonsate is often cited by papers focused on HIV/AIDS Research and Interventions (21 papers), HIV, Drug Use, Sexual Risk (19 papers) and Sex work and related issues (15 papers). Wipas Wimonsate collaborates with scholars based in Thailand, United States and Uganda. Wipas Wimonsate's co-authors include Frits van Griensven, Anchalee Varangrat, Philip A. Mock, Warunee Thienkrua, Janet M. McNicholl, Praphan Phanuphak, Supaporn Chaikummao, Jordan W. Tappero, Wannee Chonwattana and Thomas E. Guadamuz and has published in prestigious journals such as AIDS, MMWR Morbidity and Mortality Weekly Report and JAIDS Journal of Acquired Immune Deficiency Syndromes.

In The Last Decade

Wipas Wimonsate

23 papers receiving 852 citations

Author Peers

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

Author Last Decade Papers Cites
Wipas Wimonsate 695 608 434 170 152 23 869
Timothy Frasca 769 1.1× 593 1.0× 285 0.7× 242 1.4× 108 0.7× 34 903
Kristina Bowles 754 1.1× 695 1.1× 252 0.6× 269 1.6× 121 0.8× 16 915
Ingrid Young 725 1.0× 624 1.0× 432 1.0× 291 1.7× 92 0.6× 44 919
Larry Han 468 0.7× 440 0.7× 191 0.4× 197 1.2× 93 0.6× 43 1.0k
Wilbert Jordan 681 1.0× 492 0.8× 194 0.4× 340 2.0× 155 1.0× 40 903
Phillip Keen 669 1.0× 559 0.9× 249 0.6× 108 0.6× 108 0.7× 51 767
Maria C.B. Mendoza 507 0.7× 425 0.7× 200 0.5× 237 1.4× 143 0.9× 23 942
Pedro Goicochea 905 1.3× 705 1.2× 376 0.9× 347 2.0× 107 0.7× 16 1.0k
Tom Platteau 615 0.9× 448 0.7× 189 0.4× 242 1.4× 182 1.2× 49 811
Ximena Salazar 641 0.9× 436 0.7× 468 1.1× 249 1.5× 290 1.9× 38 904

Countries citing papers authored by Wipas Wimonsate

Since Specialization
Citations

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

Fields of papers citing papers by Wipas Wimonsate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wipas Wimonsate

This figure shows the co-authorship network connecting the top 25 collaborators of Wipas Wimonsate. A scholar is included among the top collaborators of Wipas Wimonsate 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 Wipas Wimonsate. Wipas Wimonsate 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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