О. Е. Мустафина

518 total citations
76 papers, 352 citations indexed

About

О. Е. Мустафина is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, О. Е. Мустафина has authored 76 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 20 papers in Molecular Biology and 18 papers in Immunology. Recurrent topics in О. Е. Мустафина's work include Nutrition, Genetics, and Disease (14 papers), Atherosclerosis and Cardiovascular Diseases (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). О. Е. Мустафина is often cited by papers focused on Nutrition, Genetics, and Disease (14 papers), Atherosclerosis and Cardiovascular Diseases (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). О. Е. Мустафина collaborates with scholars based in Russia, United States and United Kingdom. О. Е. Мустафина's co-authors include Э. К. Хуснутдинова, Т. В. Моругова, Elena Shagisultanova, G. F. Korytina, Peter Kružliak, Ján Sabó, Н. В. Петрова, Ginter Ek, В. Р. Ахметова and А. А. Карпов and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

О. Е. Мустафина

70 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
О. Е. Мустафина Russia 10 97 85 72 59 56 76 352
Evan G. Pappas Australia 9 146 1.5× 103 1.2× 86 1.2× 55 0.9× 24 0.4× 15 407
Özlem Küçükhüseyin Türkiye 12 163 1.7× 37 0.4× 59 0.8× 78 1.3× 43 0.8× 48 396
Helen E. Thomas Australia 8 208 2.1× 66 0.8× 78 1.1× 47 0.8× 24 0.4× 12 411
Kawaljit Matharoo India 12 100 1.0× 92 1.1× 33 0.5× 27 0.5× 46 0.8× 29 321
Joon-Young Kim South Korea 8 179 1.8× 49 0.6× 53 0.7× 77 1.3× 31 0.6× 13 383
Rodrigo Bertollo de Alexandre Brazil 8 277 2.9× 53 0.6× 57 0.8× 45 0.8× 50 0.9× 13 437
Sun Ha Lee South Korea 11 155 1.6× 36 0.4× 55 0.8× 31 0.5× 38 0.7× 16 406
Mélissa Buscato France 13 131 1.4× 246 2.9× 72 1.0× 83 1.4× 24 0.4× 26 453
S Lachance Canada 13 149 1.5× 34 0.4× 59 0.8× 28 0.5× 95 1.7× 19 369

Countries citing papers authored by О. Е. Мустафина

Since Specialization
Citations

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

Fields of papers citing papers by О. Е. Мустафина

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by О. Е. Мустафина. 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 О. Е. Мустафина. The network helps show where О. Е. Мустафина may publish in the future.

Co-authorship network of co-authors of О. Е. Мустафина

This figure shows the co-authorship network connecting the top 25 collaborators of О. Е. Мустафина. A scholar is included among the top collaborators of О. Е. Мустафина 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 О. Е. Мустафина. О. Е. Мустафина 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.
Мустафина, О. Е., et al.. (2020). The analysis of association between multiple sclerosis and genetic markers identified in genome-wide association studies. S S Korsakov Journal of Neurology and Psychiatry. 120(7). 54–54. 1 indexed citations
2.
Korytina, G. F., et al.. (2020). The association between eating behavior and polymorphisms in GRIN2B, GRIK3, GRIA1 and GRIN1 genes in people with type 2 diabetes mellitus. Molecular Biology Reports. 47(3). 2035–2046. 14 indexed citations
3.
Korytina, G. F., et al.. (2019). Analysis of polymorphic gene loci of antioxidant protection enzymes in three ethnic groups of the Republic of Bashkortostan. Open Access Repository (Belgorod State National Research University). 5(2). 1 indexed citations
4.
Мустафина, О. Е., et al.. (2019). Population analysis of the polymorphic marker rs1002149 of the glutathione reductase gene in residents of the Republic of Bashkortostan and Abkhazia. Open Access Repository (Belgorod State National Research University). 5(4).
5.
Моругова, Т. В., et al.. (2018). Association of adiponectin gene alleles with type 2 diabetes mellitus in residents of Bashkortostan. Problems of Endocrinology. 65(1). 31–38. 6 indexed citations
6.
Моругова, Т. В., et al.. (2018). Chemokine gene polymorphisms association with increased risk of type 2 diabetes mellitus in Tatar ethnic group, Russia. Molecular Biology Reports. 46(1). 887–896. 17 indexed citations
7.
Мустафина, О. Е., et al.. (2018). CXCL13 polymorphism is associated with essential hypertension in Tatars from Russia. Molecular Biology Reports. 45(5). 1557–1564. 3 indexed citations
8.
Мустафина, О. Е., et al.. (2017). Genetic determinants of essential hypertension in the population of Tatars from Russia. Journal of Hypertension. 35(Supplement 1). S16–S23. 5 indexed citations
9.
Мустафина, О. Е., et al.. (2017). Clinical and molecular genetic analysis of a case of familial multiple sclerosis in the Republic of Bashkortostan. S S Korsakov Journal of Neurology and Psychiatry. 117(2. Vyp. 2). 31–31. 1 indexed citations
10.
Sabó, Ján, et al.. (2015). Genotype/allelic combinations as potential predictors of myocardial infarction. Molecular Biology Reports. 43(1). 11–16. 19 indexed citations
11.
Kružliak, Peter, et al.. (2015). Polymorphisms of inflammatory markers and risk of essential hypertension in Tatars from Russia. Clinical and Experimental Hypertension. 37(5). 398–403. 5 indexed citations
12.
Мустафина, О. Е., et al.. (2015). Genetic association of ADRA2A and ADRB3 genes with metabolic syndrome among the Tatars. Russian Journal of Genetics. 51(7). 711–714. 7 indexed citations
13.
Моругова, Т. В., et al.. (2015). The association of TCF7L2 rs7903146 polymorphism with type 2 diabetes mellitus among Tatars of Bashkortostan. SHILAP Revista de lepidopterología. 19(2). 119–124. 4 indexed citations
14.
Мустафина, О. Е., et al.. (2012). Analysis of the associations of polymorphic loci in TP53 and NFKB1 genes with human age and longevity. Advances in Gerontology. 2(2). 120–126. 2 indexed citations
15.
Моругова, Т. В., et al.. (2012). Allele variants of HLA II genes DRB1 and DQB1 regarding risk for type 1 diabetes mellitus in population of Bashkortostan. SHILAP Revista de lepidopterología. 15(3). 18–23. 2 indexed citations
16.
Мустафина, О. Е., et al.. (2009). Polymorphism of the prion protein gene PRNP and risk of multiple sclerosis development in ethnic Russians from Bashkortostan. Russian Journal of Genetics. 45(5). 605–612. 2 indexed citations
17.
Мустафина, О. Е., et al.. (2007). Association of Interleukin-6, Interleukin-12, and Interleukin-10 Gene Polymorphisms with Essential Hypertension in Tatars from Russia. Biochemical Genetics. 46(1-2). 64–74. 25 indexed citations
18.
19.
Хуснутдинова, Э. К., В. Р. Ахметова, О. Е. Мустафина, et al.. (2003). [Population-genetic structure of Chuvashia (from data on eight DNA loci in the nuclear genome)].. PubMed. 39(11). 1550–63. 3 indexed citations
20.
Shagisultanova, Elena, et al.. (2001). [HindIII polymorphism of lipoprotein lipase gene and risk of myocardial infarction].. PubMed. 18–22. 6 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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