Warren Cheung

4.6k citations
32 papers · 981 · h-index 15

Impact in

Papers in

Warren Cheung

28 papers receiving 963 citations

Peers

Warren Cheung
Comparison fields: 5 of 131
  • Microbiology 231
  • Computer Vision and Pattern Recognition 166
  • Aging 13
  • Molecular Biology 429
  • Genetics 115
Replace Roland F. Schwarz with:
Roland F. Schwarz Germany
Wenwei Zhang China
Huiqing Huang China
L. Mullen United Kingdom
Marie Nguyen United States
Raymond Wan Hong Kong
Ankit Gupta India
Andrew W. Dowsey United Kingdom
Fabrizio Ferrè Italy
Tam Nguyen United States
Warren Cheung relative to Roland F. Schwarz Germany Roland F. Schwarz's profile →
Citations per field
00.5×2.8×
Roland F. Schwarz · 1×
Citations per year

Countries citing papers authored by Warren Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Warren Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009236
2 2009124
3 199795
4 200784
5 201074
6 201559
7 201736
8 202035
9 201531
10 202330
11 201624
12 201222
13 201221
14 202119
15 202418
16 201512
17 201310
18 200810
19 201910
20 200910

About Warren Cheung

Warren Cheung is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Genetics, Aerospace Engineering and Microbiology, having authored 32 papers that have together received 981 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Antimicrobial Peptides and Activities (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Biomedical Text Mining and Ontologies (3 papers), Image Retrieval and Classification Techniques (3 papers), Genetic Associations and Epidemiology (3 papers), Robotics and Sensor-Based Localization (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Microbiology (231 citations), Computer Vision and Pattern Recognition (166 citations), Aging (13 citations), Molecular Biology (429 citations) and Genetics (115 citations). Warren Cheung has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ghassan Hamarneh, Håvard Jenssen, Artem Cherkasov, Robert E. W. Hancock, Christopher D. Fjell, Leonard Nunney, Kai Hilpert, Nelly Panté, Tomi Pastinen and Wyeth W. Wasserman. Their work appears in journals such as Nature Communications, Clinical Epigenetics, Scientific Reports, Journal of Medicinal Chemistry and Evolution.

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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