Virginia Wong

4.7k citations
100 papers · 3.2k indexed · h-index 34

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
  • Neurology 482
  • Complementary and alternative medicine 202
Replace Jonathan Dykeman with:
Jonathan Dykeman Canada
Sheffali Gulati India
F. John Meaney United States
Donald W. Lewis United States
Bernard Rosenblatt Canada
Jorge G. Burneo Canada
Maryam Oskoui Canada
H. Merskey Canada
J. Fermanian France
A. David Rothner United States
Virginia Wong relative to Jonathan Dykeman Canada Jonathan Dykeman's profile →
Citations per field
00.5×3.6×
Jonathan Dykeman · 1×
Citations per year

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

The 25 scholars most cited alongside Virginia Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Virginia Wong Line = papers co-authored together Virginia Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201333
2 201311
3 201229
4 201139
5 201011
6 200811
7 200821
8 200816
9 200813
10 200718
11 200750
12 200786
13 200622
14 200440
15 200414
16 200214
17 200114
18 200040
19 199620
20 199516

About Virginia Wong

Virginia Wong is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 100 papers that have together received 3.2k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (16 papers), Epilepsy research and treatment (14 papers), Pharmacological Effects and Toxicity Studies (12 papers), Cerebral Palsy and Movement Disorders (12 papers), Family and Disability Support Research (11 papers), Genetics and Neurodevelopmental Disorders (9 papers), Acupuncture Treatment Research Studies (9 papers) and Child Nutrition and Feeding Issues (7 papers). The work is most often cited by research in Psychiatry and Mental health (1.3k citations), Cognitive Neuroscience (843 citations) and Pediatrics, Perinatology and Child Health (713 citations). Virginia Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent 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. Their work appears in journals such as Journal of Child Neurology, Pediatric Neurology, Brain and Development, Cochrane Database of Systematic Reviews and Journal of Autism and Developmental Disorders.

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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