Plearnpis Luxananil

29 total papers · 658 total citations
26 papers, 527 citations indexed

About

Plearnpis Luxananil is a scholar working on Molecular Biology, Insect Science and Ecology. According to data from OpenAlex, Plearnpis Luxananil has authored 26 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Insect Science and 4 papers in Ecology. Recurrent topics in Plearnpis Luxananil's work include Insect Resistance and Genetics (12 papers), Entomopathogenic Microorganisms in Pest Control (8 papers) and Insect and Pesticide Research (6 papers). Plearnpis Luxananil is often cited by papers focused on Insect Resistance and Genetics (12 papers), Entomopathogenic Microorganisms in Pest Control (8 papers) and Insect and Pesticide Research (6 papers). Plearnpis Luxananil collaborates with scholars based in Thailand, Japan and United States. Plearnpis Luxananil's co-authors include Sakol Panyim, Wonnop Visessanguan, Boonhiang Promdonkoy, Sutipa Tanapongpipat, Nipa Chokesajjawatee, Oraprapai Gajanandana, Ruud Valyasevi, Punnanee Sumpavapol, Somboon Tanasupawat and Chaiyavat Chaiyasut and has published in prestigious journals such as Applied Microbiology and Biotechnology, Biosensors and Bioelectronics and International Journal of Food Microbiology.

In The Last Decade

Plearnpis Luxananil

26 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
Plearnpis Luxananil 356 173 127 91 80 26 527
R. A. Rhodes 301 0.8× 69 0.4× 116 0.9× 102 1.1× 69 0.9× 31 555
Franca Vergalito 182 0.5× 184 1.1× 152 1.2× 81 0.9× 39 0.5× 25 600
Dayong Si 364 1.0× 117 0.7× 53 0.4× 43 0.5× 46 0.6× 38 593
Young Tae Hahm 350 1.0× 220 1.3× 35 0.3× 102 1.1× 91 1.1× 30 613
Tomohiro Irisawa 336 0.9× 310 1.8× 78 0.6× 51 0.6× 76 0.9× 29 552
Cumhur Çökmüş 337 0.9× 118 0.7× 58 0.5× 99 1.1× 106 1.3× 28 521
Ricardo A. Wu 125 0.4× 178 1.0× 182 1.4× 68 0.7× 63 0.8× 22 504
Grzegorz Leśnierowski 248 0.7× 208 1.2× 38 0.3× 51 0.6× 89 1.1× 42 617
Joo‐Sung Kim 276 0.8× 234 1.4× 40 0.3× 58 0.6× 116 1.4× 32 614
Joo Won Suh 232 0.7× 210 1.2× 51 0.4× 113 1.2× 53 0.7× 26 481

Countries citing papers authored by Plearnpis Luxananil

Since Specialization
Citations

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

Fields of papers citing papers by Plearnpis Luxananil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Plearnpis Luxananil

This figure shows the co-authorship network connecting the top 25 collaborators of Plearnpis Luxananil. A scholar is included among the top collaborators of Plearnpis Luxananil 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 Plearnpis Luxananil. Plearnpis Luxananil 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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2026