Stephen Wong

47 papers receiving 1.0k citations

Peers

Stephen Wong
Comparison fields: 5 of 101
  • Hepatology 155
  • Endocrine and Autonomic Systems 104
  • Cognitive Neuroscience 249
  • Psychiatry and Mental health 165
  • Neurology 167
Replace Sami Schiff with:
Sami Schiff Italy
Miles E. Drake United States
Bumhee Park South Korea
Manvir Bhatia India
David Freides United States
Antonello Grippo Italy
Matthew L. Cohen United States
Assawin Gongvatana United States
Andrew J. Byrne United States
Wataru Gonoi Japan
Stephen Wong relative to Sami Schiff Italy Sami Schiff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen Wong

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen 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 Stephen Wong Line = papers co-authored together Stephen Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012116
2 2008104
3 2018101
4 200980
5 201172
6 201372
7 201842
8 201938
9 199235
10 201434
11 200528
12 201127
13 202126
14 201826
15 201724
16 201019
17 201318
18 201018
19
A comparative trial of recombinant interferon alpha 2A versus alpha 2 beta on myelosuppression in healthy adult volunteers.
199617
20 201916

About Stephen Wong

Stephen Wong is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Neurology, Hepatology and Pediatrics, Perinatology and Child Health, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epilepsy research and treatment (11 papers), EEG and Brain-Computer Interfaces (10 papers), Neurological disorders and treatments (8 papers), Hepatitis C virus research (6 papers), Neuroscience and Neural Engineering (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (155 citations), Endocrine and Autonomic Systems (104 citations), Cognitive Neuroscience (249 citations), Psychiatry and Mental health (165 citations) and Neurology (167 citations). Stephen Wong has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Shabbar F. Danish, W. Art Chaovalitwongse, Shouyi Wang, Ram Mani, Sally Merry, Hiran Thabrew, Sarah Hetrick, Karolina Stasiak, Jurg L. Jaggi and Gordon H. Baltuch. Their work appears in journals such as Epilepsy & Behavior, Cochrane Database of Systematic Reviews, Journal of Viral Hepatitis, Liver International and Epilepsia.

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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