Supanee Thanakun

27 total papers · 404 total citations
22 papers, 302 citations indexed

About

Supanee Thanakun is a scholar working on Periodontics, Epidemiology and Physiology. According to data from OpenAlex, Supanee Thanakun has authored 22 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Periodontics, 6 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Supanee Thanakun's work include Oral microbiology and periodontitis research (15 papers), Salivary Gland Disorders and Functions (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Supanee Thanakun is often cited by papers focused on Oral microbiology and periodontitis research (15 papers), Salivary Gland Disorders and Functions (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Supanee Thanakun collaborates with scholars based in Thailand, Japan and United States. Supanee Thanakun's co-authors include Yuichi Izumi, Suchaya Pornprasertsuk‐Damrongsri, Sroisiri Thaweboon, Hisashi Watanabe, Weerapan Khovidhunkit, Siribang-on Piboonniyom Khovidhunkit, Warapat Virayavanich, Hiroaki Kobayashi, H. Watanabe and Sittiruk Roytrakul and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Journal of Periodontology.

In The Last Decade

Supanee Thanakun

22 papers receiving 291 citations

Author Peers

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

Author						Papers	Cites
Supanee Thanakun	140	81	64	61	51	22	302
Gianni Lorenzini	56 0.4×	40 0.5×	13 0.2×	33 0.5×	18 0.4×	28	289
Francesca Currò	26 0.2×	33 0.4×	73 1.1×	50 0.8×	19 0.4×	21	360
Erdinç Serin	80 0.6×	33 0.4×	57 0.9×	63 1.0×	22 0.4×	27	340
Rieko Ito	153 1.1×	20 0.2×	34 0.5×	75 1.2×	8 0.2×	21	339
Gisele Maria Campos Fabri	217 1.6×	101 1.2×	19 0.3×	18 0.3×	78 1.5×	28	353
Yoram Fleissig	84 0.6×	124 1.5×	27 0.4×	11 0.2×	40 0.8×	18	364
M Rostin	40 0.3×	52 0.6×	16 0.3×	26 0.4×	12 0.2×	30	288
Irena Glažar	144 1.0×	128 1.6×	52 0.8×	24 0.4×	10 0.2×	26	330
Kirthi Kumar	103 0.7×	20 0.2×	76 1.2×	14 0.2×	36 0.7×	22	286
M. Mann	69 0.5×	36 0.4×	25 0.4×	17 0.3×	9 0.2×	20	318

Countries citing papers authored by Supanee Thanakun

Since Specialization

Citations

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

Fields of papers citing papers by Supanee Thanakun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supanee Thanakun

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