Suthep Wanitkun

39 total papers · 464 total citations
25 papers, 302 citations indexed

About

Suthep Wanitkun is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Suthep Wanitkun has authored 25 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Epidemiology. Recurrent topics in Suthep Wanitkun's work include Congenital Heart Disease Studies (10 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Cardiovascular Function and Risk Factors (5 papers). Suthep Wanitkun is often cited by papers focused on Congenital Heart Disease Studies (10 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Cardiovascular Function and Risk Factors (5 papers). Suthep Wanitkun collaborates with scholars based in Thailand, United States and Japan. Suthep Wanitkun's co-authors include David J. Sahn, Yoshiki Mori, Nongnuch Sirachainan, Soamarat Vilaiyuk, Timothy Irvine, Mary J. Rice, Mark D. Reller, Kenji Harada, Robert W. McDonald and Xiaokui Li and has published in prestigious journals such as Circulation, The American Journal of Cardiology and Journal of the American Society of Echocardiography.

In The Last Decade

Suthep Wanitkun

25 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Suthep Wanitkun	150	100	87	63	57	25	302
José L. Pomar	205 1.4×	83 0.8×	161 1.9×	80 1.3×	28 0.5×	34	342
L. Mesana	105 0.7×	93 0.9×	61 0.7×	65 1.0×	13 0.2×	20	289
Mohiuddin Cheema	73 0.5×	114 1.1×	57 0.7×	68 1.1×	28 0.5×	17	261
Giuseppe Mariani	106 0.7×	47 0.5×	145 1.7×	34 0.5×	16 0.3×	14	354
Hung‐Tao Chung	78 0.5×	87 0.9×	77 0.9×	81 1.3×	10 0.2×	35	288
Robert L. Levy	73 0.5×	58 0.6×	57 0.7×	33 0.5×	10 0.2×	24	255
Lina Khider	121 0.8×	40 0.4×	52 0.6×	165 2.6×	21 0.4×	37	318
Joe Aoun	122 0.8×	27 0.3×	77 0.9×	72 1.1×	51 0.9×	38	275
Laurence Cohen	94 0.6×	116 1.2×	86 1.0×	71 1.1×	12 0.2×	23	232
S W Jamieson	124 0.8×	96 1.0×	203 2.3×	70 1.1×	42 0.7×	16	364

Countries citing papers authored by Suthep Wanitkun

Since Specialization

Citations

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

Fields of papers citing papers by Suthep Wanitkun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suthep Wanitkun

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