Supoch Tunlayadechanont

23 total papers · 590 total citations
15 papers, 156 citations indexed

About

Supoch Tunlayadechanont is a scholar working on Neurology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Supoch Tunlayadechanont has authored 15 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Supoch Tunlayadechanont's work include Antifungal resistance and susceptibility (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Myasthenia Gravis and Thymoma (2 papers). Supoch Tunlayadechanont is often cited by papers focused on Antifungal resistance and susceptibility (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Myasthenia Gravis and Thymoma (2 papers). Supoch Tunlayadechanont collaborates with scholars based in Thailand, United States and Australia. Supoch Tunlayadechanont's co-authors include Rawiphan Witoonpanich, Charungthai Dejthevaporn, Somnuek Sungkanuparph, Robert E. Lenkinski, Hirohiko Kimura, Dolores López‐Villegas, Asda Vibhagool, Sukit Yamwong, Mark Woodward and Kavin Vanikieti and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Diabetes Care.

In The Last Decade

Supoch Tunlayadechanont

14 papers receiving 152 citations

Author Peers

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

Author						Papers	Cites
Supoch Tunlayadechanont	57	55	34	29	22	15	156
Juliette Audibert	31 0.5×	33 0.6×	12 0.4×	33 1.1×	6 0.3×	12	148
Mihaela Lazăr	83 1.5×	140 2.5×	32 0.9×	16 0.6×	3 0.1×	19	230
Yi-Ying Lin	92 1.6×	26 0.5×	42 1.2×	30 1.0×	5 0.2×	19	276
Marie Charmaine C. Sy	98 1.7×	32 0.6×	17 0.5×	133 4.6×	3 0.1×	21	224
Lingli Xu	131 2.3×	44 0.8×	14 0.4×	85 2.9×	7 0.3×	14	281
Melissa Mert	82 1.4×	48 0.9×	71 2.1×	8 0.3×	6 0.3×	17	292
John Barthelow Classen	60 1.1×	65 1.2×	22 0.6×	7 0.2×	60 2.7×	19	246
Binh Ngo	52 0.9×	66 1.2×	7 0.2×	19 0.7×	31 1.4×	14	220
Susana Ruiz	34 0.6×	44 0.8×	28 0.8×	6 0.2×	14 0.6×	20	255
L. Porras	119 2.1×	40 0.7×	9 0.3×	125 4.3×	7 0.3×	20	270

Countries citing papers authored by Supoch Tunlayadechanont

Since Specialization

Citations

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

Fields of papers citing papers by Supoch Tunlayadechanont

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supoch Tunlayadechanont

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