W.‐C. Voon

491 total citations
9 papers, 391 citations indexed

About

W.‐C. Voon is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, W.‐C. Voon has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 2 papers in Nephrology. Recurrent topics in W.‐C. Voon's work include Cardiovascular Function and Risk Factors (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Blood Pressure and Hypertension Studies (3 papers). W.‐C. Voon is often cited by papers focused on Cardiovascular Function and Risk Factors (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Blood Pressure and Hypertension Studies (3 papers). W.‐C. Voon collaborates with scholars based in Taiwan. W.‐C. Voon's co-authors include T-H Lin, Kai‐Hung Cheng, Chong‐Chi Chiu, C-C Hsieh, Ho‐Ming Su, Tsung‐Hsien Lin, Po‐Yao Hsu, Chun‐Yuan Chu, Hsiang‐Chun Lee and Sharon Chen and has published in prestigious journals such as International Journal of Obesity, Diabetic Medicine and American Journal of Hypertension.

In The Last Decade

W.‐C. Voon

9 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
W.‐C. Voon Taiwan	7	321	181	115	83	43	9	391
Edward Garrett United States	5	474 1.5×	291 1.6×	172 1.5×	209 2.5×	64 1.5×	6	559
Takashi Uegaito Japan	10	281 0.9×	100 0.6×	56 0.5×	29 0.3×	45 1.0×	25	355
Munkhbaatar Dagvasumberel Japan	5	184 0.6×	145 0.8×	60 0.5×	52 0.6×	39 0.9×	6	277
Belén Adrio Spain	7	280 0.9×	183 1.0×	101 0.9×	39 0.5×	36 0.8×	14	357
О. Е. Акбашева Russia	9	210 0.7×	96 0.5×	102 0.9×	63 0.8×	37 0.9×	42	319
M. Hori Japan	6	174 0.5×	49 0.3×	120 1.0×	96 1.2×	89 2.1×	14	321
Pio Cialdella Italy	9	128 0.4×	110 0.6×	44 0.4×	36 0.4×	54 1.3×	26	308
Osamu Kubozono Japan	8	276 0.9×	130 0.7×	87 0.8×	36 0.4×	16 0.4×	10	452
Marcin Kożuch Poland	11	203 0.6×	79 0.4×	33 0.3×	42 0.5×	78 1.8×	47	331
Costanza Goffredo Italy	7	227 0.7×	124 0.7×	29 0.3×	30 0.4×	28 0.7×	11	318

Countries citing papers authored by W.‐C. Voon

Since Specialization

Citations

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

Fields of papers citing papers by W.‐C. Voon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.‐C. Voon. 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 W.‐C. Voon. The network helps show where W.‐C. Voon may publish in the future.

Co-authorship network of co-authors of W.‐C. Voon

This figure shows the co-authorship network connecting the top 25 collaborators of W.‐C. Voon. A scholar is included among the top collaborators of W.‐C. Voon 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 W.‐C. Voon. W.‐C. Voon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Chu, Chia‐Yu, et al.. (2014). Purulent pericarditis, multi‐site abscesses and ketoacidosis in a patient with newly diagnosed diabetes: a rare case report. Diabetic Medicine. 31(7). e25–8. 2 indexed citations

Hsu, Po‐Yao, Chun‐Yuan Chu, Sharon Chen, et al.. (2013). Associations of Pulse Pressure Index With Left Ventricular Filling Pressure and Diastolic Dysfunction in Patients With Chronic Kidney Disease. American Journal of Hypertension. 27(3). 454–459. 11 indexed citations

Su, Ho‐Ming, Tsung‐Hsien Lin, Po‐Yao Hsu, et al.. (2013). Association of Interankle Systolic Blood Pressure Difference With Peripheral Vascular Disease and Left Ventricular Mass Index. American Journal of Hypertension. 27(1). 32–37. 18 indexed citations

Lin, Tsung‐Hsien, Ho‐Ming Su, Chung‐Li Wang, et al.. (2010). Vascular Endothelial Growth Factor Polymorphisms and Extent of Coronary Atherosclerosis in Chinese Population With Advanced Coronary Artery Disease. American Journal of Hypertension. 23(9). 960–966. 16 indexed citations

Su, Ho‐Ming, Tsung‐Hsien Lin, Hsiang‐Chun Lee, et al.. (2009). Myocardial Performance Index Derived From Brachial-Ankle Pulse Wave Velocity: A Novel and Feasible Parameter in Evaluation of Cardiac Performance. American Journal of Hypertension. 22(8). 871–876. 23 indexed citations

Su, Ho‐Ming, et al.. (2009). The A1166C polymorphism of angiotensin II Type 1 receptor as a predictor of renal function decline over 4 years follow-up in an apparently healthy Chinese population. Clinical Nephrology. 72(12). 457–467. 8 indexed citations

Cheng, Kai‐Hung, et al.. (2007). Adipocytokines and proinflammatory mediators from abdominal and epicardial adipose tissue in patients with coronary artery disease. International Journal of Obesity. 32(2). 268–274. 299 indexed citations

Su, Ho‐Ming, Tsung‐Hsien Lin, W.‐C. Voon, et al.. (2007). Impact of preload alterations by haemodialysis on the Tei index. Acta Cardiologica. 62(1). 25–30. 9 indexed citations

Lai, Wen‐Ter, Hsueh‐Wei Yen, W.‐C. Voon, et al.. (2001). Cystic left atrium myxoma--a rare case report.. PubMed. 17(11). 579–81. 5 indexed citations

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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