Wei Q. Deng

994 total citations · 1 hit paper
22 papers, 612 citations indexed

About

Wei Q. Deng is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Wei Q. Deng has authored 22 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 8 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Wei Q. Deng's work include Genetic Associations and Epidemiology (13 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Wei Q. Deng is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Wei Q. Deng collaborates with scholars based in Canada, United States and China. Wei Q. Deng's co-authors include Guillaume Paré, Isabelle C. Van Gelder, Carsten W. Israel, Stuart J. Connolly, Eric Fain, Carlos A. Morillo, Michael R. Gold, Michela Brambatti, Chu‐Pak Lau and Juliet Nakamya and has published in prestigious journals such as Circulation, Nature Communications and Scientific Reports.

In The Last Decade

Wei Q. Deng

19 papers receiving 600 citations

Hit Papers

Temporal Relationship Between Subclinical Atrial Fibrilla... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Temporal Relationship Between Subclinical Atrial Fibrillation and Embolic Events
    2014 444 citations Michela Brambatti, Stuart J. Connolly et al. Circulation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei Q. Deng Canada 8 432 102 99 64 53 22 612
Ingrid E. Christophersen Norway 16 919 2.1× 68 0.7× 48 0.5× 44 0.7× 253 4.8× 28 1.1k
Gursharan S. Soor Canada 10 240 0.6× 63 0.6× 19 0.2× 24 0.4× 74 1.4× 18 426
Anand Thiyagarajah Australia 10 491 1.1× 50 0.5× 11 0.1× 29 0.5× 13 0.2× 27 579
Gregory G. Passmore United States 14 84 0.2× 51 0.5× 280 2.8× 43 0.7× 62 1.2× 30 557
Martin Bernier Canada 12 435 1.0× 25 0.2× 22 0.2× 42 0.7× 28 0.5× 36 520
Christopher J. Malkin United Kingdom 15 524 1.2× 231 2.3× 15 0.2× 144 2.3× 34 0.6× 40 763
Federico Murgia United States 9 64 0.1× 42 0.4× 23 0.2× 19 0.3× 31 0.6× 18 202
Maxime M. Bos Netherlands 11 75 0.2× 26 0.3× 51 0.5× 15 0.2× 35 0.7× 19 247
Marin Nishimura United States 12 212 0.5× 56 0.5× 10 0.1× 21 0.3× 43 0.8× 28 357
Chao‐Ping Wang Taiwan 6 197 0.5× 52 0.5× 25 0.3× 18 0.3× 53 1.0× 10 391

Countries citing papers authored by Wei Q. Deng

Since Specialization
Citations

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

Fields of papers citing papers by Wei Q. Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Q. Deng. 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 Wei Q. Deng. The network helps show where Wei Q. Deng may publish in the future.

Co-authorship network of co-authors of Wei Q. Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Q. Deng. A scholar is included among the top collaborators of Wei Q. Deng 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 Wei Q. Deng. Wei Q. Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Liu, Ruihan, Russell J. de Souza, Sandi M. Azab, et al.. (2025). A Scoping Review of Epigenetic Signatures of Diet and Diet-relatedMetabolites: Insights from Epigenome-Wide Association Studies and TheirImplications for Cardiometabolic Health and Diseases. The Yale Journal of Biology and Medicine. 98(2). 203–225.
3.
Deng, Wei Q., Mohammad Daud Khan, Shihong Mao, et al.. (2024). A method to estimate the contribution of rare coding variants to complex trait heritability. Nature Communications. 15(1). 1245–1245. 5 indexed citations
4.
Deng, Wei Q., Marie Pigeyre, Sandi M. Azab, et al.. (2024). Consistent cord blood DNA methylation signatures of gestational age between South Asian and white European cohorts. Clinical Epigenetics. 16(1). 74–74. 3 indexed citations
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Deng, Wei Q., et al.. (2024). Longitudinal characterization of impulsivity phenotypes boosts signal for genomic correlates and heritability. Molecular Psychiatry. 30(2). 608–618. 1 indexed citations
7.
Deng, Wei Q., Sandi M. Azab, Russell J. de Souza, et al.. (2024). Maternal smoking DNA methylation risk score associated with health outcomes in offspring of European and South Asian ancestry. eLife. 13. 2 indexed citations
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Deng, Wei Q., Shihong Mao, Anette Kalnapenkis, et al.. (2019). Analytical strategies to include the X‐chromosome in variance heterogeneity analyses: Evidence for trait‐specific polygenic variance structure. Genetic Epidemiology. 43(7). 815–830. 8 indexed citations
11.
Paré, Guillaume, Shihong Mao, & Wei Q. Deng. (2018). A robust method to estimate regional polygenic correlation under misspecified linkage disequilibrium structure. Genetic Epidemiology. 42(7). 636–647. 2 indexed citations
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Paré, Guillaume, Shihong Mao, & Wei Q. Deng. (2017). A machine-learning heuristic to improve gene score prediction of polygenic traits. Scientific Reports. 7(1). 12665–12665. 54 indexed citations
14.
Paré, Guillaume, Shihong Mao, & Wei Q. Deng. (2016). A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics. Scientific Reports. 6(1). 27644–27644. 3 indexed citations
15.
Paré, Guillaume, Senay Asma, & Wei Q. Deng. (2015). Contribution of Large Region Joint Associations to Complex Traits Genetics. PLoS Genetics. 11(4). e1005103–e1005103. 8 indexed citations
16.
Brambatti, Michela, Stuart J. Connolly, Michael R. Gold, et al.. (2014). Temporal Relationship Between Subclinical Atrial Fibrillation and Embolic Events. Circulation. 129(21). 2094–2099. 444 indexed citations breakdown →
17.
Sohani, Zahra, Wei Q. Deng, Guillaume Paré, et al.. (2014). Does genetic heterogeneity account for the divergent risk of type 2 diabetes in South Asian and white European populations?. Diabetologia. 57(11). 2270–2281. 29 indexed citations
18.
Deng, Wei Q., Senay Asma, & Guillaume Paré. (2013). Meta-analysis of SNPs involved in variance heterogeneity using Levene’s test for equal variances. European Journal of Human Genetics. 22(3). 427–430. 10 indexed citations
19.
Lear, Scott A., Wei Q. Deng, Guillaume Paré, et al.. (2011). Associations of the FTO rs9939609 variant with discrete body fat depots and dietary intake in a multi-ethnic cohort. Genetics Research. 93(6). 419–426. 15 indexed citations
20.
Yang, Guijun, Zhigang Wang, & Wei Q. Deng. (2008). Unbiased generalized quasi-regression. Computational Statistics & Data Analysis. 54(3). 779–789. 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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