Joseph Beyene

11.2k total citations · 4 hit papers
175 papers, 7.5k citations indexed

About

Joseph Beyene is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joseph Beyene has authored 175 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 40 papers in Molecular Biology and 26 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joseph Beyene's work include Gene expression and cancer classification (25 papers), Genetic Associations and Epidemiology (21 papers) and Bioinformatics and Genomic Networks (17 papers). Joseph Beyene is often cited by papers focused on Gene expression and cancer classification (25 papers), Genetic Associations and Epidemiology (21 papers) and Bioinformatics and Genomic Networks (17 papers). Joseph Beyene collaborates with scholars based in Canada, United States and United Kingdom. Joseph Beyene's co-authors include Rahim Moineddin, Roy J. Shephard, Donald J. Mertens, Terence Kavanagh, J. S. Kennedy, Larry F. Hamm, Paul Corey, Elena Parkhomenko, Lillian Sung and David Tritchler and has published in prestigious journals such as New England Journal of Medicine, Circulation and Nature Medicine.

In The Last Decade

Joseph Beyene

166 papers receiving 7.3k citations

Hit Papers

Stem cell gene expression programs influence clinical out... 2006 2026 2012 2019 2011 2006 2012 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Beyene Canada 41 1.5k 1.3k 967 907 896 175 7.5k
Dean Follmann United States 42 1.1k 0.7× 960 0.7× 1.2k 1.2× 1.7k 1.9× 393 0.4× 170 10.5k
Matthieu Resche‐Rigon France 53 2.2k 1.5× 1.4k 1.1× 447 0.5× 686 0.8× 1.0k 1.1× 231 10.9k
Paul Landais France 53 969 0.7× 2.5k 1.9× 559 0.6× 800 0.9× 624 0.7× 216 9.8k
Paul C. Lambert United Kingdom 53 743 0.5× 1.4k 1.1× 1.1k 1.1× 1.0k 1.1× 2.6k 2.9× 225 12.8k
Huiman X. Barnhart United States 53 514 0.3× 1.6k 1.3× 1.1k 1.1× 1.4k 1.5× 721 0.8× 203 12.0k
Hajime Uno United States 44 1.0k 0.7× 1.0k 0.8× 572 0.6× 1.5k 1.6× 2.0k 2.2× 189 8.5k
K. Arnold Chan United States 51 929 0.6× 1.8k 1.4× 1.1k 1.2× 1.2k 1.3× 848 0.9× 210 10.4k
Scott S. Emerson United States 50 1.5k 1.0× 1.7k 1.3× 662 0.7× 917 1.0× 680 0.8× 154 11.3k
Michael Murphy United Kingdom 62 1.1k 0.8× 2.3k 1.8× 883 0.9× 800 0.9× 705 0.8× 436 14.7k
Doug Coyle Canada 51 549 0.4× 1.4k 1.1× 1.2k 1.2× 1.5k 1.7× 1.9k 2.1× 298 10.7k

Countries citing papers authored by Joseph Beyene

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Beyene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Beyene

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Beyene. A scholar is included among the top collaborators of Joseph Beyene 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 Joseph Beyene. Joseph Beyene 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
1.
Beyene, Joseph, et al.. (2025). Adolescent marriage, maternity, and limited access to education in 106 countries: Bayesian analysis of prevalence, trend, and prediction. Scientific Reports. 15(1). 9584–9584. 1 indexed citations
6.
Rafiq, Talha, Jennifer C. Stearns, Meera Shanmuganathan, et al.. (2023). Integrative multiomics analysis of infant gut microbiome and serum metabolome reveals key molecular biomarkers of early onset childhood obesity. Heliyon. 9(6). e16651–e16651. 10 indexed citations
7.
Ewusie, Joycelyne, Joseph Beyene, Lehana Thabane, Sharon E. Straus, & Jemila S. Hamid. (2021). An improved method for analysis of interrupted time series (ITS) data: accounting for patient heterogeneity using weighted analysis. The International Journal of Biostatistics. 18(2). 521–535. 4 indexed citations
8.
Soobiah, Charlene, et al.. (2020). Methods, Applications and Challenges in the Analysis of Interrupted Time Series Data: A Scoping Review. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Kapadia, M. Z., Anca Gaston, Sherry Van Blyderveen, et al.. (2014). Psychological factors and trimester-specific gestational weight gain: a systematic review. Journal of Psychosomatic Obstetrics & Gynecology. 36(1). 15–22. 13 indexed citations
10.
Muti, Paola, Andrea Sacconi, Ahmed Hossain, et al.. (2014). Downregulation of microRNAs 145-3p and 145-5p Is a Long-term Predictor of Postmenopausal Breast Cancer Risk: The ORDET Prospective Study. Cancer Epidemiology Biomarkers & Prevention. 23(11). 2471–2481. 20 indexed citations
11.
Chiu, Susan S., John L. Sievenpiper, Russell J. de Souza, et al.. (2014). Effect of fructose on markers of non-alcoholic fatty liver disease (NAFLD): a systematic review and meta-analysis of controlled feeding trials. European Journal of Clinical Nutrition. 68(4). 416–423. 206 indexed citations
12.
Ye, Chenglin, Joseph Beyene, Gina Browne, & Lehana Thabane. (2014). Estimating treatment effects in randomised controlled trials with non-compliance: a simulation study. BMJ Open. 4(6). e005362–e005362. 47 indexed citations
13.
Tarp, Simon, Daniel E. Furst, Christian Gluud, et al.. (2014). Interpreting trial results following use of different intention-to-treat approaches for preventing attrition bias: a meta-epidemiological study protocol. BMJ Open. 4(9). e005297–e005297. 18 indexed citations
14.
Ye, Chenglin, et al.. (2012). Measuring the degree of integration for an integrated service network. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Hu, Pingzhao, Xinchen Wang, Jack J. Haitsma, et al.. (2012). Microarray Meta-Analysis Identifies Acute Lung Injury Biomarkers in Donor Lungs That Predict Development of Primary Graft Failure in Recipients. PLoS ONE. 7(10). e45506–e45506. 16 indexed citations
16.
Roslin, Nicole M., Jemila S. Hamid, Andrew D. Paterson, & Joseph Beyene. (2009). Genome-wide association analysis of cardiovascular-related quantitative traits in the Framingham Heart Study. BMC Proceedings. 3(S7). S117–S117. 11 indexed citations
17.
Jenkins, David J.A., Andrea R. Josse, Joseph Beyene, et al.. (2008). Fish-oil supplementation in patients with implantable cardioverter defibrillators: a meta-analysis. Canadian Medical Association Journal. 178(2). 157–164. 47 indexed citations
18.
McDonald, Sarah D., Mark Walker, Arne Ohlsson, et al.. (2008). The Effect of Tobacco Exposure on Maternal and Fetal Thyroid Function. Obstetrical & Gynecological Survey. 64(1). 11–12. 1 indexed citations
19.
Doria, Andréa S., Rahim Moineddin, Christian J. Kellenberger, et al.. (2006). US or CT for Diagnosis of Appendicitis in Children and Adults? A Meta-Analysis. Radiology. 241(1). 83–94. 500 indexed citations breakdown →
20.
Hu, Pingzhao, Joseph Beyene, & Celia M.T. Greenwood. (2006). Tests for differential gene expression using weights in oligonucleotide microarray experiments. BMC Genomics. 7(1). 33–33. 9 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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