О. Д. Рымар

762 total citations
80 papers, 287 citations indexed

About

О. Д. Рымар is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, О. Д. Рымар has authored 80 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Endocrinology, Diabetes and Metabolism, 29 papers in Genetics and 20 papers in Surgery. Recurrent topics in О. Д. Рымар's work include Diabetes and associated disorders (19 papers), Diet, Metabolism, and Disease (17 papers) and Pancreatic function and diabetes (14 papers). О. Д. Рымар is often cited by papers focused on Diabetes and associated disorders (19 papers), Diet, Metabolism, and Disease (17 papers) and Pancreatic function and diabetes (14 papers). О. Д. Рымар collaborates with scholars based in Russia, United Kingdom and Kazakhstan. О. Д. Рымар's co-authors include С. В. Мустафина, М. И. Воевода, Е. В. Шахтшнейдер, Sofia Malyutina, Yu. I. Ragino, Vadim V. Klimontov, Г. И. Симонова, Д. В. Денисова, Martin Bobák and Olga V. Sazonova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atherosclerosis and BMC Research Notes.

In The Last Decade

О. Д. Рымар

59 papers receiving 263 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. Д. Рымар Russia 9 152 114 111 58 43 80 287
Marek Demissie Poland 8 212 1.4× 115 1.0× 76 0.7× 50 0.9× 36 0.8× 19 392
О. Б. Безлепкина Russia 9 240 1.6× 55 0.5× 122 1.1× 76 1.3× 17 0.4× 79 327
Hongrong Deng China 11 177 1.2× 88 0.8× 86 0.8× 55 0.9× 36 0.8× 42 317
Arlette Soros United States 8 218 1.4× 47 0.4× 50 0.5× 38 0.7× 43 1.0× 14 333
Shinji Higuchi Japan 10 89 0.6× 80 0.7× 78 0.7× 56 1.0× 19 0.4× 26 225
Mustafa Tosur United States 11 200 1.3× 159 1.4× 201 1.8× 49 0.8× 18 0.4× 47 339
Juana A. Flores-Le-Roux Spain 8 233 1.5× 167 1.5× 113 1.0× 29 0.5× 45 1.0× 12 402
Bahareh Rasouli Sweden 10 192 1.3× 104 0.9× 181 1.6× 22 0.4× 52 1.2× 22 317
Jong Seo Yoon South Korea 11 149 1.0× 30 0.3× 50 0.5× 65 1.1× 37 0.9× 27 278
E Schober Austria 4 142 0.9× 62 0.5× 119 1.1× 159 2.7× 20 0.5× 7 336

Countries citing papers authored by О. Д. Рымар

Since Specialization
Citations

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

Fields of papers citing papers by О. Д. Рымар

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of О. Д. Рымар

This figure shows the co-authorship network connecting the top 25 collaborators of О. Д. Рымар. A scholar is included among the top collaborators of О. Д. Рымар 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. Д. Рымар. О. Д. Рымар 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.
Рымар, О. Д., et al.. (2023). The role of individual organization of circadian rhythms in the formation of carbohydrate metabolism disorders. SHILAP Revista de lepidopterología. 26(3). 224–235. 1 indexed citations
2.
Шахтшнейдер, Е. В., et al.. (2023). The Mutation Spectrum of Rare Variants in the Gene of Adenosine Triphosphate (ATP)-Binding Cassette Subfamily C Member 8 in Patients with a MODY Phenotype in Western Siberia. Journal of Personalized Medicine. 13(2). 172–172. 5 indexed citations
3.
Мустафина, С. В., et al.. (2023). Association of thyroidstimulating hormone, prolactin and leptin with metabolic status in young women 25-44 years old in Western Siberia. Clinical and experimental thyroidology. 18(3). 13–22.
4.
Рымар, О. Д., et al.. (2023). Association of dietary cholesterol intake with the risk of fatal cardiovascular events in individuals with type 2 diabetes. SHILAP Revista de lepidopterología. 26(4). 318–327.
5.
Мустафина, С. В., et al.. (2022). Behavioral and social risk factors for metabolically unhealthy obesity: data form a 12-year prospective study in the Russian population. SHILAP Revista de lepidopterología. 27(5). 4997–4997. 2 indexed citations
6.
Рымар, О. Д., et al.. (2022). Association of polymorphisms of genes SLC30A8 and MC4R with the prognosis of the development of type 2 diabetes mellitus. SHILAP Revista de lepidopterología. 25(3). 215–225.
7.
Симонова, Г. И., et al.. (2022). Association of non-high-density lipoprotein hypercholesterol with metabolic syndrome, diabetes and arterial hypertension in the population of 45–69 years adults. Arterial’naya Gipertenziya (Arterial Hypertension). 28(5). 501–517.
8.
Рымар, О. Д., et al.. (2022). The role of “latent autoimmune diabetes in adults” in the structure of diabetes mellitus in young people. SHILAP Revista de lepidopterología. 150–155. 1 indexed citations
9.
Nikolaev, К. Yu., et al.. (2022). The Impact of Hypoglycemic Therapy on the Prognosis for Acute Coronary Syndrome in Patients with Type 2 Diabetes. Journal of Personalized Medicine. 12(5). 845–845. 1 indexed citations
10.
Гафаров, В. В., Е. А. Громова, D. Panov, et al.. (2021). The effect of sleep duration on the risk of diabetes mellitus in an open population of men aged 45–64 years (international epidemiological studies). SHILAP Revista de lepidopterología. 13(6). 23–28.
11.
Рымар, О. Д., et al.. (2021). Epidemiological studies of iodine deficiency in Novosibirsk: data of 25-years observation. Clinical and experimental thyroidology. 16(2). 4–11. 2 indexed citations
12.
Рымар, О. Д., et al.. (2021). Maturity-Onset Diabetes of the Young and the Structure of Gestational Diabetes Mellitus. Doctor Ru. 20(11). 68–72. 1 indexed citations
13.
Рымар, О. Д., С. В. Мустафина, Г. И. Симонова, et al.. (2021). Diabetes type 2: conventional, social and some genetic predictors of cardiovascular death. SHILAP Revista de lepidopterología. 17(2). 39–50. 1 indexed citations
14.
15.
Шахтшнейдер, Е. В., et al.. (2020). Analysis of APPL1 Gene Polymorphisms in Patients with a Phenotype of Maturity Onset Diabetes of the Young. Journal of Personalized Medicine. 10(3). 100–100. 15 indexed citations
16.
Рымар, О. Д., et al.. (2020). Type 2 diabetes: basic clinical and laboratory parameters and risk of cardiovascular death. SHILAP Revista de lepidopterología. 25(4). 3822–3822. 3 indexed citations
17.
Мустафина, С. В., et al.. (2020). Gender and age related features of metabolically healthy obesity phenotype prevalence. SHILAP Revista de lepidopterología. 19(1). 76–84. 7 indexed citations
18.
Мустафина, С. В., et al.. (2019). Iodine status of the population in Russia and the world: what do we have for 2019?. SHILAP Revista de lepidopterología. 15(2). 73–82. 17 indexed citations
19.
Malyutina, Sofia, et al.. (2019). The forearm fractures in patients with diabetes and without diabetes in population sample aged over 50 years (Novosibirsk). Problems of Endocrinology. 65(2). 78–87. 2 indexed citations
20.
Мустафина, С. В., et al.. (2017). Prevalence of diabetes in the adult population of Novosibirsk. Diabetes Mellitus. 20(5). 329–334. 13 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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