Warren Cheung

4.5k total citations
33 papers, 961 citations indexed

About

Warren Cheung is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Warren Cheung has authored 33 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Warren Cheung's work include Epigenetics and DNA Methylation (10 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Syndromes and Imprinting (3 papers). Warren Cheung is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Syndromes and Imprinting (3 papers). Warren Cheung collaborates with scholars based in Canada, United States and United Kingdom. Warren Cheung's co-authors include Ghassan Hamarneh, Robert E. W. Hancock, Artem Cherkasov, Håvard Jenssen, Christopher D. Fjell, Leonard Nunney, Kai Hilpert, Nelly Panté, Tomi Pastinen and Wyeth W. Wasserman and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Warren Cheung

28 papers receiving 941 citations

Peers

Warren Cheung

MICRO

CVPR

GENET

ECOLO

Jun‐ichi Imai Japan

J Hayashi Japan

Akiko Mizutani Japan

Yu You China

Roland F. Schwarz Germany

Erin Beck United States

Tam Nguyen United States

Thomas Werner Germany

Pratik Shah United States

Hans J. W. Spoelder Netherlands

Jun‐ichi Imai Japan

Warren Cheung

250 ×0.5

89 ×0.4

MICRO

217 ×1.3

CVPR

79 ×0.6

GENET

63 ×0.9

ECOLO

Citations per year, relative to Warren Cheung Warren Cheung (= 1×) peers Jun‐ichi Imai

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-authorship network of co-authors of Warren Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Warren Cheung. A scholar is included among the top collaborators of Warren Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Warren Cheung. Warren Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Groza, Cristian, Bing Ge, Warren Cheung, Tomi Pastinen, & Guillaume Bourque. (2025). Expanded methylome and quantitative trait loci detection by long-read profiling of personal DNA. Genome Research. 35(4). 644–652.

Spector, Benjamin L., Warren Cheung, Reid S. Alisch, et al.. (2025). Total plasma cfDNA methylation in pediatric kidney transplant recipients provides insight into acute allograft rejection pathophysiology. Clinical Immunology. 275. 110475–110475.

Costa, Maice, et al.. (2024). Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection. Remote Sensing. 16(24). 4669–4669.

Smail, Craig, Bing Ge, Warren Cheung, et al.. (2024). Complex trait associations in rare diseases and impacts on Mendelian variant interpretation. Nature Communications. 15(1). 8196–8196. 3 indexed citations

Groza, Cristian, Warren Cheung, Emily Farrow, et al.. (2024). Pangenome graphs improve the analysis of structural variants in rare genetic diseases. Nature Communications. 15(1). 657–657. 14 indexed citations

Yoo, Byunggil, Warren Cheung, Chengpeng Bi, et al.. (2023). Abstract 243: Long-read sequencing of pediatric cancer genomes identifies multiple clinically relevant variants. Cancer Research. 83(7_Supplement). 243–243. 1 indexed citations

Fu, Qi, et al.. (2023). Adverse Maternal Environments Perturb Hepatic DNA Methylome and Transcriptome Prior to the Adult-Onset Non-Alcoholic Fatty Liver Disease in Mouse Offspring. Nutrients. 15(9). 2167–2167. 2 indexed citations

Varberg, Kaela M., Joseph M. Varberg, Khursheed Iqbal, et al.. (2023). Extravillous trophoblast cell lineage development is associated with active remodeling of the chromatin landscape. Nature Communications. 14(1). 4826–4826. 27 indexed citations

Shao, Xiaojian, Catherine Le Stunff, Warren Cheung, et al.. (2022). Differentially methylated CpGs in response to growth hormone administration in children with idiopathic short stature. Clinical Epigenetics. 14(1). 65–65. 3 indexed citations

10.

Banerjee, Dithi, Todd Bradley, Warren Cheung, et al.. (2021). Immune cell residency in the nasal mucosa may partially explain respiratory disease severity across the age range. Scientific Reports. 11(1). 15927–15927. 17 indexed citations

11.

Allum, Fiona, Åsa K. Hedman, Xiaojian Shao, et al.. (2019). Dissecting features of epigenetic variants underlying cardiometabolic risk using full-resolution epigenome profiling in regulatory elements. Nature Communications. 10(1). 1209–1209. 10 indexed citations

12.

Busche, Stephan, Xiaojian Shao, Maxime Caron, et al.. (2015). Population whole-genome bisulfite sequencing across two tissues highlights the environment as the principal source of human methylome variation. Genome biology. 16(1). 290–290. 59 indexed citations

13.

Joly, Yann, Stephanie O. M. Dyke, Warren Cheung, Mark A. Rothstein, & Tomi Pastinen. (2015). Risk of re-identification of epigenetic methylation data: a more nuanced response is needed. Clinical Epigenetics. 7(1). 45–45. 12 indexed citations

14.

Cheung, Warren, B. F. Francis Ouellette, & Wyeth W. Wasserman. (2012). Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs). BMC Bioinformatics. 13(1). 249–249. 21 indexed citations

15.

Cheung, Warren, B. F. Francis Ouellette, & Wyeth W. Wasserman. (2012). Inferring novel gene-disease associations using Medical Subject Heading Over-representation Profiles. Genome Medicine. 4(9). 75–75. 22 indexed citations

16.

Fjell, Christopher D., Håvard Jenssen, Warren Cheung, Robert E. W. Hancock, & Artem Cherkasov. (2010). Optimization of Antibacterial Peptides by Genetic Algorithms and Cheminformatics. Chemical Biology & Drug Design. 77(1). 48–56. 72 indexed citations

17.

Cheung, Warren & Ghassan Hamarneh. (2009). $n$-SIFT: $n$-Dimensional Scale Invariant Feature Transform. IEEE Transactions on Image Processing. 18(9). 2012–2021. 122 indexed citations

18.

Podowski, Raf M., Dimas Yusuf, Jochen Brumm, et al.. (2008). Gene Characterization Index: Assessing the Depth of Gene Annotation. PLoS ONE. 3(1). e1440–e1440. 10 indexed citations

19.

Cheung, Warren & Ghassan Hamarneh. (2007). N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES. 720–723. 83 indexed citations

20.

Cheung, Warren, et al.. (2005). Particle-Based Communication Among Game Agents. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 1(1). 75–80. 1 indexed citations

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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