Т. В. Моругова

417 total citations
22 papers, 67 citations indexed

About

Т. В. Моругова is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Т. В. Моругова has authored 22 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Т. В. Моругова's work include Diet, Metabolism, and Disease (5 papers), Regulation of Appetite and Obesity (5 papers) and Genetic Associations and Epidemiology (4 papers). Т. В. Моругова is often cited by papers focused on Diet, Metabolism, and Disease (5 papers), Regulation of Appetite and Obesity (5 papers) and Genetic Associations and Epidemiology (4 papers). Т. В. Моругова collaborates with scholars based in Russia, United Kingdom and United States. Т. В. Моругова's co-authors include О. Е. Мустафина, G. F. Korytina, Inga Prokopenko, Zhanna Balkhiyarova, Irina Artamónova, Steven Hildemann, Н. Ш. Загидуллин, Ametov As, Anne Coble Voss and Menghua Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Gene.

In The Last Decade

Т. В. Моругова

17 papers receiving 65 citations

Peers

Т. В. Моругова
Т. В. Моругова
Citations per year, relative to Т. В. Моругова Т. В. Моругова (= 1×) peers Agustinus Soemantri

Countries citing papers authored by Т. В. Моругова

Since Specialization
Citations

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

Fields of papers citing papers by Т. В. Моругова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Т. В. Моругова. 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 Т. В. Моругова. The network helps show where Т. В. Моругова may publish in the future.

Co-authorship network of co-authors of Т. В. Моругова

This figure shows the co-authorship network connecting the top 25 collaborators of Т. В. Моругова. A scholar is included among the top collaborators of Т. В. Моругова 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 Т. В. Моругова. Т. В. Моругова 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
2.
Моругова, Т. В., et al.. (2023). Eating behavior and allelic variants of the leptin receptor gene in patients with type 2 diabetes: single center cross-sectional study. SHILAP Revista de lepidopterología. 14(1). 15–26.
3.
Balkhiyarova, Zhanna, et al.. (2023). Integrating Common Risk Factors with Polygenic Scores Improves the Prediction of Type 2 Diabetes. International Journal of Molecular Sciences. 24(2). 984–984. 5 indexed citations
5.
Моругова, Т. В., et al.. (2022). Self-monitoring of glycaemia – what is useful for a clinician to know. SHILAP Revista de lepidopterología. 3(3). 54–57. 1 indexed citations
6.
Моругова, Т. В., et al.. (2021). Association of polymorphic loci of susceptibility to diabetes mellitus type 2 in various ethnic groups of the Russian Federation. SHILAP Revista de lepidopterología. 24(3). 262–272. 1 indexed citations
7.
Моругова, Т. В., et al.. (2020). Eating behavior in patients with type 2 diabetes and melanocortin receptor gene polymorphism. Russian Medical Inquiry. 4(6). 318–323. 1 indexed citations
8.
Моругова, Т. В., et al.. (2020). Optimizing Treatment of Urinary Tract Infections in Patients with Type 2 Diabetes Mellitus. Doctor Ru. 19(2). 20–26.
9.
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
10.
Моругова, Т. В., et al.. (2019). Multilocus associations of inflammatory genes with the risk of type 1 diabetes. Gene. 707. 1–8. 2 indexed citations
12.
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
13.
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
15.
Моругова, Т. В., et al.. (2016). Association of variable rs1801282 locus of PPARG2 gene with diabetic nephropathy. Russian Journal of Genetics. 52(8). 877–881. 4 indexed citations
16.
Моругова, Т. В., et al.. (2015). ACTH-ectopic syndrome in the patient with the primary site localized in the pancreas. Problems of Endocrinology. 61(2). 28–31.
17.
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
18.
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
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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