Kamonpan Sanachai

45 total papers · 447 total citations
33 papers, 291 citations indexed

About

Kamonpan Sanachai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Kamonpan Sanachai has authored 33 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 8 papers in Organic Chemistry. Recurrent topics in Kamonpan Sanachai's work include Computational Drug Discovery Methods (9 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Synthesis and biological activity (4 papers). Kamonpan Sanachai is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Synthesis and biological activity (4 papers). Kamonpan Sanachai collaborates with scholars based in Thailand, Austria and China. Kamonpan Sanachai's co-authors include Thanyada Rungrotmongkol, Panupong Mahalapbutr, Kiattawee Choowongkomon, Rakrudee Sarnthima, Peter Wolschann, Saranyu Khammuang, Vannajan Sanghiran Lee, Supot Hannongbua, Phornphimon Maitarad and Rungtiva P. Poo-arporn and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Kamonpan Sanachai

27 papers receiving 286 citations

Author Peers

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

Author						Papers	Cites
Kamonpan Sanachai	120	72	71	51	33	33	291
Gláucio Monteiro Ferreira	176 1.5×	51 0.7×	60 0.8×	44 0.9×	25 0.8×	43	323
Gulshan Wadhwa	175 1.5×	48 0.7×	40 0.6×	24 0.5×	37 1.1×	41	328
Youssef Saeed Alghamdi	130 1.1×	64 0.9×	54 0.8×	38 0.7×	14 0.4×	25	313
Swastika Maity	88 0.7×	71 1.0×	37 0.5×	31 0.6×	40 1.2×	11	217
Cornel Chiriţă	104 0.9×	48 0.7×	46 0.6×	18 0.4×	13 0.4×	28	313
Mayara dos Santos Maia	113 0.9×	49 0.7×	47 0.7×	11 0.2×	13 0.4×	33	263
Muhammad Arba	128 1.1×	84 1.2×	48 0.7×	32 0.6×	31 0.9×	57	302
Iqra Ali	100 0.8×	71 1.0×	70 1.0×	19 0.4×	17 0.5×	20	314
Muhammad Akram	124 1.0×	100 1.4×	52 0.7×	26 0.5×	24 0.7×	28	324
Roseli Aparecida da Silva Gomes	116 1.0×	21 0.3×	20 0.3×	48 0.9×	18 0.5×	24	322

Countries citing papers authored by Kamonpan Sanachai

Since Specialization

Citations

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

Fields of papers citing papers by Kamonpan Sanachai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamonpan Sanachai

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