Majid Nikpay

2.0k total citations
33 papers, 484 citations indexed

About

Majid Nikpay is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Majid Nikpay has authored 33 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Majid Nikpay's work include Genetic Associations and Epidemiology (14 papers), RNA modifications and cancer (9 papers) and Epigenetics and DNA Methylation (7 papers). Majid Nikpay is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), RNA modifications and cancer (9 papers) and Epigenetics and DNA Methylation (7 papers). Majid Nikpay collaborates with scholars based in Canada, United States and Sweden. Majid Nikpay's co-authors include Ruth McPherson, Robert Dent, Paulina Lau, Sébastien Soubeyrand, Christopher B. Cole, Alexandre F.R. Stewart, Mary‐Ellen Harper, Adam W. Turner, Jörg Hager and Armand Valsesia and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Majid Nikpay

32 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majid Nikpay Canada 14 249 183 102 87 69 33 484
Sanghoon Moon South Korea 12 242 1.0× 253 1.4× 61 0.6× 46 0.5× 50 0.7× 33 519
Xiaobo Chen China 9 308 1.2× 76 0.4× 47 0.5× 57 0.7× 79 1.1× 32 594
Nikolaj T. Krarup Denmark 8 177 0.7× 144 0.8× 45 0.4× 54 0.6× 82 1.2× 13 364
Ekta Rai India 14 344 1.4× 190 1.0× 61 0.6× 24 0.3× 57 0.8× 36 636
Danielle M. Greenawalt United States 11 283 1.1× 226 1.2× 107 1.0× 33 0.4× 140 2.0× 19 694
Shan‐Shan Kuo Taiwan 8 249 1.0× 301 1.6× 56 0.5× 39 0.4× 88 1.3× 8 521
Nadia Tinto Italy 15 261 1.0× 194 1.1× 52 0.5× 49 0.6× 250 3.6× 35 685
M Lambert Canada 11 277 1.1× 167 0.9× 84 0.8× 63 0.7× 177 2.6× 14 683
Sophie Carter Canada 11 265 1.1× 73 0.4× 51 0.5× 93 1.1× 26 0.4× 18 541
Milagros Pérez‐Barba Spain 7 256 1.0× 114 0.6× 215 2.1× 63 0.7× 40 0.6× 7 511

Countries citing papers authored by Majid Nikpay

Since Specialization
Citations

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

Fields of papers citing papers by Majid Nikpay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Nikpay

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Nikpay. A scholar is included among the top collaborators of Majid Nikpay 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 Majid Nikpay. Majid Nikpay 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.
Nikpay, Majid. (2025). Trans-eQTLs Can Be Used to Identify Tissue-Specific Gene Regulatory Networks. Current Issues in Molecular Biology. 47(8). 594–594.
2.
Soubeyrand, Sébastien, Paulina Lau, Majid Nikpay, et al.. (2024). Long Noncoding RNA TRIBAL Links the 8q24.13 Locus to Hepatic Lipid Metabolism and Coronary Artery Disease. Circulation Genomic and Precision Medicine. 17(6). e004674–e004674. 1 indexed citations
3.
Nikpay, Majid. (2023). Genome-wide search identified DNA methylation sites that regulate the metabolome. Frontiers in Genetics. 14. 1093882–1093882. 1 indexed citations
4.
Nikpay, Majid, et al.. (2021). A Common Polymorphism in the FADS1 Locus Links miR1908 to Low-Density Lipoprotein Cholesterol Through BMP1. Arteriosclerosis Thrombosis and Vascular Biology. 41(8). 2252–2262. 7 indexed citations
5.
Nikpay, Majid, et al.. (2021). Understanding the Function of a Locus Using the Knowledge Available at Single-Nucleotide Polymorphisms. SHILAP Revista de lepidopterología. 11(4). 255–262. 2 indexed citations
6.
Nikpay, Majid & Ruth McPherson. (2021). Convergence of biomarkers and risk factor trait loci of coronary artery disease at 3p21.31 and HLA region. npj Genomic Medicine. 6(1). 12–12. 8 indexed citations
7.
Nikpay, Majid, Sébastien Soubeyrand, Rasool Tahmasbi, & Ruth McPherson. (2020). Multiomics Screening Identifies Molecular Biomarkers Causally Associated With the Risk of Coronary Artery Disease. Circulation Genomic and Precision Medicine. 13(6). e002876–e002876. 10 indexed citations
8.
Nikpay, Majid, et al.. (2020). Phenome-wide screening for traits causally associated with the risk of coronary artery disease. Journal of Human Genetics. 65(4). 371–380. 17 indexed citations
9.
Soubeyrand, Sébastien, Majid Nikpay, Paulina Lau, et al.. (2020). CARMAL Is a Long Non-coding RNA Locus That Regulates MFGE8 Expression. Frontiers in Genetics. 11. 631–631. 3 indexed citations
10.
Soubeyrand, Sébastien, et al.. (2019). Regulation of MFGE8 by the intergenic coronary artery disease locus on 15q26.1. Atherosclerosis. 284. 11–17. 21 indexed citations
11.
Antoun, Ghadi, Majid Nikpay, Ruth McPherson, Mary‐Ellen Harper, & Robert Dent. (2017). Is Type 2 Diabetes in Adults Associated With Impaired Capacity for Weight Loss?. Canadian Journal of Diabetes. 42(3). 313–316.e1. 5 indexed citations
12.
Thrush, A. Brianne, Gamil R. Antoun, Majid Nikpay, et al.. (2017). Diet-resistant obesity is characterized by a distinct plasma proteomic signature and impaired muscle fiber metabolism. International Journal of Obesity. 42(3). 353–362. 15 indexed citations
13.
Nikpay, Majid, Alexandre F.R. Stewart, & Ruth McPherson. (2017). Partitioning the heritability of coronary artery disease highlights the importance of immune-mediated processes and epigenetic sites associated with transcriptional activity. Cardiovascular Research. 113(8). 973–983. 27 indexed citations
14.
Cole, Christopher B., Majid Nikpay, Alexandre F.R. Stewart, & Ruth McPherson. (2015). Increased genetic risk for obesity in premature coronary artery disease. European Journal of Human Genetics. 24(4). 587–591. 21 indexed citations
15.
Cole, Christopher B., Majid Nikpay, & Ruth McPherson. (2015). Gene–environment interaction in dyslipidemia. Current Opinion in Lipidology. 26(2). 133–138. 30 indexed citations
16.
Nikpay, Majid, et al.. (2015). Functional interaction between COL4A1/COL4A2 and SMAD3 risk loci for coronary artery disease. Atherosclerosis. 242(2). 543–552. 34 indexed citations
17.
Nikpay, Majid, et al.. (2015). Adverse Effects of β-Blocker Therapy on Weight Loss in Response to a Controlled Dietary Regimen. Canadian Journal of Cardiology. 32(10). 1246.e21–1246.e26. 5 indexed citations
18.
Cole, Christopher B., Majid Nikpay, Paulina Lau, et al.. (2014). Adiposity significantly modifies genetic risk for dyslipidemia. Journal of Lipid Research. 55(11). 2416–2422. 33 indexed citations
19.
Nikpay, Majid, Anuj Goel, & Hong‐Hee Won. (2014). Abstract 16274: Identification of Novel CAD Genetic Loci by 1000 Genomes-Based Imputation and a Non-Additive Discovery Screen. Circulation. 130(suppl_2). 2 indexed citations
20.

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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