Sukit Yamwong

68 total papers · 3.2k total citations
40 papers, 965 citations indexed

About

Sukit Yamwong is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Sukit Yamwong has authored 40 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Epidemiology. Recurrent topics in Sukit Yamwong's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Blood Pressure and Hypertension Studies (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). Sukit Yamwong is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Blood Pressure and Hypertension Studies (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). Sukit Yamwong collaborates with scholars based in Thailand, Australia and United States. Sukit Yamwong's co-authors include Piyamitr Sritara, Mark Woodward, Sayan Cheepudomwit, Wichai Aekplakorn, Wipa Ratanachaiwong, Rajata Rajatanavin, Prin Vathesatogkit, Tada Yipintsoi, Pongamorn Bunnag and Chagriya Kitiyakara and has published in prestigious journals such as Journal of the American College of Cardiology, Diabetes Care and Scientific Reports.

In The Last Decade

Sukit Yamwong

40 papers receiving 933 citations

Author Peers

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

Author Last Decade Papers Cites
Sukit Yamwong 351 269 224 173 142 40 965
Issei Kurahashi 149 0.4× 195 0.7× 156 0.7× 302 1.7× 99 0.7× 36 1.0k
Tomo Kusunoki 267 0.8× 270 1.0× 381 1.7× 282 1.6× 155 1.1× 51 1.1k
Nobuyuki Ohtsuka 236 0.7× 312 1.2× 348 1.6× 270 1.6× 153 1.1× 49 1.1k
Hye-Ree Lee 218 0.6× 292 1.1× 373 1.7× 103 0.6× 163 1.1× 34 1.1k
Arif Hacıhasanoğlu 614 1.7× 294 1.1× 165 0.7× 80 0.5× 213 1.5× 42 1.2k
Ross Ward 286 0.8× 186 0.7× 92 0.4× 209 1.2× 101 0.7× 18 946
Richard Benfante 307 0.9× 283 1.1× 116 0.5× 62 0.4× 165 1.2× 20 1.0k
Nikola Kocev 106 0.3× 184 0.7× 124 0.6× 90 0.5× 135 1.0× 58 1.1k
Emanuel Zitt 197 0.6× 138 0.5× 165 0.7× 583 3.4× 68 0.5× 77 1.2k
Özge Kurtkulağı 214 0.6× 128 0.5× 339 1.5× 247 1.4× 41 0.3× 38 1.0k

Countries citing papers authored by Sukit Yamwong

Since Specialization
Citations

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

Fields of papers citing papers by Sukit Yamwong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukit Yamwong

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