Prasit Pengsaa

42 total papers · 439 total citations
29 papers, 360 citations indexed

About

Prasit Pengsaa is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Prasit Pengsaa has authored 29 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 6 papers in Oncology and 4 papers in Surgery. Recurrent topics in Prasit Pengsaa's work include Cervical Cancer and HPV Research (14 papers), Global Cancer Incidence and Screening (6 papers) and Parasites and Host Interactions (4 papers). Prasit Pengsaa is often cited by papers focused on Cervical Cancer and HPV Research (14 papers), Global Cancer Incidence and Screening (6 papers) and Parasites and Host Interactions (4 papers). Prasit Pengsaa collaborates with scholars based in Thailand, United Kingdom and France. Prasit Pengsaa's co-authors include Natthawut Kaewpitoon, Soraya J Kaewpitoon, Supannee Sriamporn, Krittika Suwanrungruang, Vanchai Vatanasapt, Supot Kamsa‐ard, Sadamu Noda, Paola Pisani, Donald Maxwell Parkin and Patravoot Vatanasapt and has published in prestigious journals such as World Journal of Gastroenterology, Asian Pacific Journal of Cancer Prevention and Acta Cytologica.

In The Last Decade

Prasit Pengsaa

29 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Prasit Pengsaa 150 109 86 60 50 29 360
Marianne Luyendijk 57 0.4× 152 1.4× 115 1.3× 74 1.2× 44 0.9× 13 360
Blaise Nkegoum 96 0.6× 91 0.8× 44 0.5× 38 0.6× 13 0.3× 21 303
Han-Ik Cho 61 0.4× 25 0.2× 79 0.9× 25 0.4× 39 0.8× 20 356
Edford Sinkala 125 0.8× 34 0.3× 60 0.7× 106 1.8× 19 0.4× 35 346
P Cahen 63 0.4× 49 0.4× 43 0.5× 19 0.3× 20 0.4× 26 327
Porpon Rotjanapan 225 1.5× 26 0.2× 53 0.6× 12 0.2× 33 0.7× 22 393
Nopparat Songserm 26 0.2× 60 0.6× 99 1.2× 150 2.5× 33 0.7× 38 362
Richard E. Sanya 71 0.5× 18 0.2× 112 1.3× 24 0.4× 36 0.7× 36 366
Kavin Thinkhamrop 26 0.2× 53 0.5× 110 1.3× 155 2.6× 56 1.1× 32 388
Likit Matrakool 32 0.2× 37 0.3× 85 1.0× 184 3.1× 50 1.0× 37 346

Countries citing papers authored by Prasit Pengsaa

Since Specialization
Citations

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

Fields of papers citing papers by Prasit Pengsaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasit Pengsaa

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