V. Wong

20 total papers · 751 total citations
16 papers, 500 citations indexed

About

V. Wong is a scholar working on Neurology, Epidemiology and Complementary and alternative medicine. According to data from OpenAlex, V. Wong has authored 16 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Epidemiology and 3 papers in Complementary and alternative medicine. Recurrent topics in V. Wong's work include Myasthenia Gravis and Thymoma (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Acupuncture Treatment Research Studies (2 papers). V. Wong is often cited by papers focused on Myasthenia Gravis and Thymoma (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Acupuncture Treatment Research Studies (2 papers). V. Wong collaborates with scholars based in China, Hong Kong and United States. V. Wong's co-authors include Daniel KL Cheuk, Wing‐Fai Yeung, Ka‐Fai Chung, Y. L. Yu, Msm Ip, E. Woo, B. R. Hawkins, Winnie W. Y. Tso, Xiu Xu and Puisan Wong and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Journal of Autism and Developmental Disorders and European Journal of Applied Physiology.

In The Last Decade

V. Wong

16 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
V. Wong	166	120	109	101	91	16	500
M. A. Kidson	92 0.6×	94 0.8×	58 0.5×	42 0.4×	108 1.2×	19	541
Carolin Gramsch	189 1.1×	39 0.3×	90 0.8×	34 0.3×	82 0.9×	19	460
Ana Isabel Penzlin	57 0.3×	37 0.3×	69 0.6×	47 0.5×	32 0.4×	18	503
Robert Stowe	145 0.9×	17 0.1×	119 1.1×	49 0.5×	188 2.1×	19	577
J R Gibbs	252 1.5×	61 0.5×	115 1.1×	11 0.1×	55 0.6×	14	585
Uwe Kern	59 0.4×	28 0.2×	113 1.0×	31 0.3×	52 0.6×	23	599
Terry Oleson	132 0.8×	241 2.0×	28 0.3×	23 0.2×	74 0.8×	23	615
Gabriella Marsala	99 0.6×	59 0.5×	33 0.3×	42 0.4×	50 0.5×	20	515
Katsutoshi Yokoyama	241 1.5×	15 0.1×	91 0.8×	61 0.6×	133 1.5×	25	599
Aleksandra Yakhkind	44 0.3×	40 0.3×	70 0.6×	74 0.7×	80 0.9×	16	495

Countries citing papers authored by V. Wong

Since Specialization

Citations

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

Fields of papers citing papers by V. Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Wong

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