Steve Chung

5.7k citations
58 papers · 1.9k · h-index 23

Impact in

Papers in

Steve Chung

56 papers receiving 1.8k citations

Peers

Steve Chung
Comparison fields: 5 of 108
  • Psychiatry and Mental health 1.5k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Cellular and Molecular Neuroscience 665
  • Pharmacology 192
  • Cognitive Neuroscience 145
Replace Pavel Klein with:
Pavel Klein United States
William E. Rosenfeld United States
Elizabeth A. Garofalo United States
D. Schmidt Germany
Linda J. Stephen United Kingdom
G. David Rudd United States
Victor Biton United States
Stefan Schwabe United States
Alan W.C. Yuen United Kingdom
Barbara Błaszczyk Poland
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Steve Chung

Since Specialization
Citations

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

Fields of papers citing papers by Steve Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010274
2 2020165
3 2006134
4 2007128
5 2007113
6 2006109
7 201074
8 201269
9 200857
10 202248
11 200942
12 202141
13 200439
14 201333
15 201133
16 200932
17 201431
18 201230
19 201729
20 201027

About Steve Chung

Steve Chung is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Oncology and Cognitive Neuroscience, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epilepsy research and treatment (50 papers), Pharmacological Effects and Toxicity Studies (34 papers), Neuroscience and Neuropharmacology Research (19 papers), Drug Transport and Resistance Mechanisms (8 papers), Pharmaceutical studies and practices (6 papers), Neurological disorders and treatments (5 papers), EEG and Brain-Computer Interfaces (3 papers) and Bipolar Disorder and Treatment (2 papers). The work is most often cited by research in Psychiatry and Mental health (1.5k citations), Pediatrics, Perinatology and Child Health (1.2k citations), Cellular and Molecular Neuroscience (665 citations), Pharmacology (192 citations) and Cognitive Neuroscience (145 citations). Steve Chung has collaborated with scholars based in United States, Israel and Chile. Frequent co-authors include Michael R. Sperling, Gregory L. Krauss, Norman C. Wang, Stanley Iyadurai, Pamela Doty, Kristin A. Kirlin, Nicole Hank, David Hébert, Paula Gerber and G. David Rudd. Their work appears in journals such as Neurology, Epilepsy Research, Epilepsia, Epilepsy & Behavior and Seizure.

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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