Virginia Wong

4.7k total citations
100 papers, 3.2k citations indexed

About

Virginia Wong is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Virginia Wong has authored 100 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Psychiatry and Mental health, 24 papers in Pediatrics, Perinatology and Child Health and 22 papers in Cognitive Neuroscience. Recurrent topics in Virginia Wong's work include Autism Spectrum Disorder Research (16 papers), Epilepsy research and treatment (14 papers) and Pharmacological Effects and Toxicity Studies (12 papers). Virginia Wong is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Epilepsy research and treatment (14 papers) and Pharmacological Effects and Toxicity Studies (12 papers). Virginia Wong collaborates with scholars based in Hong Kong, China and United States. Virginia Wong's co-authors include Daniel KL Cheuk, Pek‐Lan Khong, Wen‐Xiong Chen, Brian Hon‐Yin Chung, Patrick Kwan, Larry Baum, Ngai Chuen Sin, Winnie Goh, Ka Sing Wong and Wilfred Hing Sang Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Cochrane Database of Systematic Reviews.

In The Last Decade

Virginia Wong

100 papers receiving 3.1k citations

Peers

Virginia Wong
Comparison fields: 5 of 123
  • Psychiatry and Mental health 1.3k
  • Cognitive Neuroscience 843
  • Pediatrics, Perinatology and Child Health 713
  • Clinical Psychology 499
  • Neurology 482
Replace Sheffali Gulati with:
Sheffali Gulati India
Brian Neville United Kingdom
Jo M. Wilmshurst South Africa
A. Jennekens‐Schinkel Netherlands
Sanjeev V. Kothare United States
William Whitehouse United Kingdom
Yushiro Yamashita Japan
Richard Appleton United Kingdom
Jonathan Dykeman Canada
Kevin Gordon Canada
Sheffali Gulati India View profile →
Citations per field, relative to Virginia Wong
Virginia Wong · 1×
Citations per year, relative to Virginia Wong
Virginia Wong · 1×

Countries citing papers authored by Virginia Wong

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Wong

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 33
2 11
3 29
4 39
5 11
6 11
7 21
8 16
9 13
10 18
11 50
12 86
13 22
14 40
15 14
16 14
17 14
18 40
19 20
20 16

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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