Surajit Tekasakul

32 total papers · 873 total citations
30 papers, 681 citations indexed

About

Surajit Tekasakul is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering and Atmospheric Science. According to data from OpenAlex, Surajit Tekasakul has authored 30 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health, Toxicology and Mutagenesis, 9 papers in Automotive Engineering and 8 papers in Atmospheric Science. Recurrent topics in Surajit Tekasakul's work include Air Quality and Health Impacts (13 papers), Toxic Organic Pollutants Impact (12 papers) and Vehicle emissions and performance (9 papers). Surajit Tekasakul is often cited by papers focused on Air Quality and Health Impacts (13 papers), Toxic Organic Pollutants Impact (12 papers) and Vehicle emissions and performance (9 papers). Surajit Tekasakul collaborates with scholars based in Thailand, Japan and Malaysia. Surajit Tekasakul's co-authors include Perapong Tekasakul, Masami Furuuchi, Yoshio Ōtani, Mitsuhiko Hata, Worradorn Phairuang, Neeranuch Phusunti, Worasak Phetwarotai, Khamphe Phoungthong, Racha Dejchanchaiwong and Laemthong Chuenchom and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Chemosphere.

In The Last Decade

Surajit Tekasakul

30 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
Surajit Tekasakul 364 228 136 121 107 30 681
Virendra Sethi 241 0.7× 163 0.7× 63 0.5× 76 0.6× 103 1.0× 31 643
Grzegorz Wielgosiński 315 0.9× 109 0.5× 183 1.3× 70 0.6× 157 1.5× 47 713
Rong Tang 201 0.6× 171 0.8× 80 0.6× 62 0.5× 161 1.5× 34 737
Jinping Zhao 436 1.2× 262 1.1× 51 0.4× 68 0.6× 117 1.1× 21 706
Tiina Torvela 323 0.9× 170 0.7× 202 1.5× 117 1.0× 80 0.7× 34 692
Zuwu Wang 314 0.9× 285 1.3× 51 0.4× 70 0.6× 159 1.5× 43 712
Yaojie Li 334 0.9× 193 0.8× 51 0.4× 111 0.9× 129 1.2× 32 613
Michel Vedrenne 241 0.7× 125 0.5× 101 0.7× 124 1.0× 117 1.1× 20 560
Xianfa Su 430 1.2× 167 0.7× 51 0.4× 63 0.5× 136 1.3× 31 748
Jorge Esteban Colman Lerner 273 0.8× 89 0.4× 71 0.5× 53 0.4× 149 1.4× 29 614

Countries citing papers authored by Surajit Tekasakul

Since Specialization
Citations

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

Fields of papers citing papers by Surajit Tekasakul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surajit Tekasakul

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