И. С. Киселев

780 total citations
48 papers, 517 citations indexed

About

И. С. Киселев is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, И. С. Киселев has authored 48 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Cancer Research and 14 papers in Pathology and Forensic Medicine. Recurrent topics in И. С. Киселев's work include Multiple Sclerosis Research Studies (14 papers), MicroRNA in disease regulation (11 papers) and Epigenetics and DNA Methylation (8 papers). И. С. Киселев is often cited by papers focused on Multiple Sclerosis Research Studies (14 papers), MicroRNA in disease regulation (11 papers) and Epigenetics and DNA Methylation (8 papers). И. С. Киселев collaborates with scholars based in Russia, United States and Ukraine. И. С. Киселев's co-authors include О. О. Фаворова, О. Г. Кулакова, Natalia Baulina, Alexey Boyко, Е. В. Попова, Alexander V. Favorov, A. E. Mamedov, Sokolov Av, Maria Yu. Zakharova and Ludmila Danilova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

И. С. Киселев

43 papers receiving 489 citations

Peers

И. С. Киселев

PFM

IMMUN

Rujia Li China

Michael F. Buckley Australia

K. Joeri van der Velde Netherlands

Jouni K. Seppänen Finland

Chunlin Xiao United States

Valentin Dinu United States

Richard Rivera United States

Marie McIlroy Ireland

Rosario M. Piro Italy

Rujia Li China

И. С. Киселев

206 ×0.9

112 ×0.7

53 ×0.5

PFM

23 ×0.2

IMMUN

48 ×0.6

Citations per year, relative to И. С. Киселев И. С. Киселев (= 1×) peers Rujia Li

Countries citing papers authored by И. С. Киселев

Since Specialization

Citations

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

Fields of papers citing papers by И. С. Киселев

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. С. Киселев. 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 И. С. Киселев. The network helps show where И. С. Киселев may publish in the future.

Co-authorship network of co-authors of И. С. Киселев

This figure shows the co-authorship network connecting the top 25 collaborators of И. С. Киселев. A scholar is included among the top collaborators of И. С. Киселев 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 И. С. Киселев. И. С. Киселев is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Кулакова, О. Г., et al.. (2025). Contribution of genomic variation to the severity of multiple sclerosis. Neurology neuropsychiatry Psychosomatics. 17(1). 78–84.

Кулакова, О. Г., et al.. (2025). Mitochondrial Genome Variants and Alzheimer’s Disease. Biochemistry (Moscow). 90(S1). S146–S163.

Киселев, И. С., Natalia Baulina, & О. О. Фаворова. (2025). Epigenetic Clock: DNA Methylation as a Marker of Biological Age and Age-Associated Diseases. Biochemistry (Moscow). 90(S1). S356–S372. 1 indexed citations

Киселев, И. С., et al.. (2023). Effect of Nanodispersed Carbon Black on the Aggregative Stability of Butadiene–Styrene Latex in Liquid-Phase Filling in an Ultrasonic Field. Журнал прикладной химии. 169–176.

Киселев, И. С., et al.. (2023). DNA Methylation Profile of CD14+ Monocytes Changes in Primary Progressive Multiple Sclerosis. Молекулярная биология. 57(5). 819–826. 1 indexed citations

Киселев, И. С., et al.. (2023). DNA Methylation Profile of CD14+ Monocytes Changes in Primary Progressive Multiple Sclerosis. Molecular Biology. 57(5). 836–842. 1 indexed citations

Киселев, И. С., Natalia Baulina, Е. В. Семина, et al.. (2023). Shared genetic architecture of COVID-19 and Alzheimer’s disease. Frontiers in Aging Neuroscience. 15. 1287322–1287322. 8 indexed citations

Baulina, Natalia, et al.. (2023). The levels of certain circulating microRNAs in hypertrophic cardiomyopathy are associated with echocardiographic parameters. Terapevticheskii arkhiv. 95(4). 302–308.

Киселев, И. С., Ludmila Danilova, Natalia Baulina, et al.. (2022). Genome-wide DNA methylation profiling identifies epigenetic changes in CD4+ and CD14+ cells of multiple sclerosis patients. Multiple Sclerosis and Related Disorders. 60. 103714–103714. 13 indexed citations

10.

Киселев, И. С., et al.. (2021). DNA Methylation As an Epigenetic Mechanism in the Development of Multiple Sclerosis. Acta Naturae. 13(2). 45–57. 38 indexed citations

11.

Киселев, И. С., et al.. (2020). Возрастзависимый подход к поиску генетических вариантов, связанных с риском инфаркта миокарда. Молекулярная биология. 54(4). 699–704. 4 indexed citations

12.

Кулакова, О. Г., et al.. (2020). Mitonuclear interactions influence multiple sclerosis risk. Gene. 758. 144962–144962. 8 indexed citations

13.

Киселев, И. С., О. Г. Кулакова, Natalia Baulina, et al.. (2019). Вариабельность гена MIR196A2 как фактор риска развития первично-прогрессирующего рассеянного склероза. Молекулярная биология. 53(2). 282–289. 3 indexed citations

14.

Mamedov, A. E., Maria Yu. Zakharova, О. О. Фаворова, et al.. (2019). Loading Rate of Exogenous and Autoantigenic Determinants on Major Histocompatibility Complex Class II Mediates Resistance to Multiple Sclerosis. Doklady Biochemistry and Biophysics. 485(1). 115–118. 2 indexed citations

15.

Zakharova, Maria Yu., et al.. (2019). The Contribution of Major Histocompatibility Complex Class II Genes to an Association with Autoimmune Diseases. Acta Naturae. 11(4). 4–12. 31 indexed citations

16.

Киселев, И. С., Natalia Baulina, Е. В. Попова, et al.. (2019). Genetic differences between primary progressive and relapsing-remitting multiple sclerosis: The impact of immune-related genes variability. Multiple Sclerosis and Related Disorders. 29. 130–136. 20 indexed citations

17.

Baulina, Natalia, et al.. (2018). NGS-identified circulating miR-375 as a potential regulating component of myocardial infarction associated network. Journal of Molecular and Cellular Cardiology. 121. 173–179. 16 indexed citations

18.

Baulina, Natalia, О. Г. Кулакова, И. С. Киселев, et al.. (2018). Immune-related miRNA expression patterns in peripheral blood mononuclear cells differ in multiple sclerosis relapse and remission. Journal of Neuroimmunology. 317. 67–76. 48 indexed citations

19.

Попова, Е. В., И. С. Киселев, С А Сиверцева, et al.. (2017). Polymorphic variants of the immune response genes as risk factors for primary progressive multiple sclerosis. S S Korsakov Journal of Neurology and Psychiatry. 117(2. Vyp. 2). 14–14. 2 indexed citations

20.

Кулакова, О. Г., et al.. (2015). GWAS-identified multiple sclerosis risk loci involved in immune response: Validation in Russians. Journal of Neuroimmunology. 282. 85–91. 21 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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