E. Cheung

1.2k citations
43 papers · 802 · h-index 10

Impact in

Papers in

E. Cheung

36 papers receiving 748 citations

Peers

E. Cheung
Comparison fields: 5 of 111
  • Cognitive Neuroscience 295
  • Cellular and Molecular Neuroscience 256
  • Applied Psychology 37
  • Psychiatry and Mental health 96
  • Experimental and Cognitive Psychology 74
Replace Jacqueline M. Barker with:
Jacqueline M. Barker United States
Daniel Alicata United States
Clara Freeman United States
Lynsey S. Hall United Kingdom
Manish Dalwani United States
Max C. Keuken Netherlands
Peter H. Jons United States
Hironobu Fujiwara Japan
Claudia Lenz Switzerland
Takefumi Ueno Japan
E. Cheung relative to Jacqueline M. Barker United States Jacqueline M. Barker's profile →
Citations per field
00.5×3.6×
Jacqueline M. Barker · 1×
Citations per year

Countries citing papers authored by E. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by E. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003266
2 2001195
3 2005104
4 200655
5 198635
6 200735
7 200615
8 201314
9 200111
10 201710
11 20089
12 20098
13 20066
14 20024
15 20163
16 20053
17 20183
18 20123
19 20133
20 20152

About E. Cheung

E. Cheung is a scholar working on Molecular Biology, Cognitive Neuroscience, Clinical Psychology, Philosophy and Psychiatry and Mental health, having authored 43 papers that have together received 802 indexed citations. Recurring topics across this work include Fractal and DNA sequence analysis (9 papers), Machine Learning in Bioinformatics (6 papers), Neural and Behavioral Psychology Studies (4 papers), Healthcare Decision-Making and Restraints (4 papers), Mental Health and Psychiatry (4 papers), Cell Image Analysis Techniques (3 papers), Solid State Laser Technologies (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (295 citations), Cellular and Molecular Neuroscience (256 citations), Applied Psychology (37 citations), Psychiatry and Mental health (96 citations) and Experimental and Cognitive Psychology (74 citations). E. Cheung has collaborated with scholars based in United States. Frequent co-authors include Sandra A. Brown, Susan F. Tapert, Gregory G. Brown, Lawrence R. Frank, Alecia D. Schweinsburg, Sandra S. Kindermann, M.J. Meloy, Martin P. Paulus, Brian C. Schweinsburg and Todd Holden. Their work appears in journals such as Psychosomatics, Alcoholism Clinical and Experimental Research, BMC Psychiatry, Academic Psychiatry and BioMed Research International.

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.

Explore authors with similar magnitude of impact