Alexander Rakitko

1.6k total citations
22 papers, 112 citations indexed

About

Alexander Rakitko is a scholar working on Genetics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alexander Rakitko has authored 22 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Alexander Rakitko's work include Genetic Associations and Epidemiology (5 papers), Mental Health Research Topics (4 papers) and Cardiovascular Disease and Adiposity (2 papers). Alexander Rakitko is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Mental Health Research Topics (4 papers) and Cardiovascular Disease and Adiposity (2 papers). Alexander Rakitko collaborates with scholars based in Russia, United States and Denmark. Alexander Rakitko's co-authors include Valery Ilinsky, Iaroslav Popov, Evgeniy O. Kiktenko, Aleksey K. Fedorov, Alexander Bulinski, А.О. Кибитов, Г. В. Рукавишников, E. D. Kasyanov, Nikolay Plotnikov and Anna Krasnenko and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physica D Nonlinear Phenomena.

In The Last Decade

Alexander Rakitko

17 papers receiving 111 citations

Peers

Alexander Rakitko

GENET

ECP

IMMUN

Juan C. Vivar United States

Sophie Molnos Germany

Ravi Mathur United States

Yin‐Hsi Chang Taiwan

Virgil Griffith United States

Shantanu Jain United States

Carter Allen United States

Marko Rašeta United Kingdom

Renato Guedes Portugal

Beatriz Valcárcel United Kingdom

Juan C. Vivar United States

Alexander Rakitko

8 ×0.2

56 ×2.2

31 ×1.3

GENET

3 ×0.2

ECP

3 ×0.2

IMMUN

Citations per year, relative to Alexander Rakitko Alexander Rakitko (= 1×) peers Juan C. Vivar

Countries citing papers authored by Alexander Rakitko

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Rakitko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Rakitko

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Rakitko. A scholar is included among the top collaborators of Alexander Rakitko 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 Alexander Rakitko. Alexander Rakitko 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

Kim, Anna, et al.. (2025). Deep learning captures the effect of epistasis in multifactorial diseases. Frontiers in Medicine. 11. 1479717–1479717. 3 indexed citations

Кибитов, А.О., Alexander Rakitko, E. D. Kasyanov, et al.. (2024). Online phenotypes of depression symptoms are associated with polygenic risk scores of somatic diseases in a population-based cohort. S S Korsakov Journal of Neurology and Psychiatry. 124(11). 122–122.

Kovalenko, Elena, Nikolay Plotnikov, Н. В. Боровкова, et al.. (2024). GWAS and polygenic risk score of severe COVID-19 in Eastern Europe. Frontiers in Medicine. 11. 1409714–1409714. 2 indexed citations

Kasyanov, E. D., Г. В. Рукавишников, Andrey K. Larin, et al.. (2024). The effect size of rs521851 in the intron of MAGI2/S-SCAM on HADS-D scores correlates with EAT-26 scores for eating disorders risk. Frontiers in Psychiatry. 15. 1416009–1416009.

Kasyanov, E. D., Alexander Rakitko, Danat Yermakovich, et al.. (2023). Anhedonia in mood disorders and somatic diseases: results of exploratory Mendelian randomization analysis. S S Korsakov Journal of Neurology and Psychiatry. 123(4). 65–65. 3 indexed citations

Kovalenko, Elena, et al.. (2023). Lactase deficiency in Russia: multiethnic genetic study. European Journal of Clinical Nutrition. 77(8). 803–810. 3 indexed citations

Рукавишников, Г. В., Alexander Rakitko, E. D. Kasyanov, et al.. (2023). Association of depression and anxiety with somatic diseases: negative lifestyle factors impact. S S Korsakov Journal of Neurology and Psychiatry. 123(4). 74–74.

Yermakovich, Danat, E. D. Kasyanov, Г. В. Рукавишников, et al.. (2023). GWAS of depression in 4,520 individuals from the Russian population highlights the role of MAGI2 (S-SCAM) in the gut-brain axis. Frontiers in Genetics. 13. 972196–972196. 6 indexed citations

Kasyanov, E. D., Alexander Rakitko, Г. В. Рукавишников, et al.. (2022). Contemporary GWAS studies of depression: the critical role of phenotyping. S S Korsakov Journal of Neurology and Psychiatry. 122(1). 50–50. 2 indexed citations

10.

Kasyanov, E. D., E. Verbitskaya, Alexander Rakitko, et al.. (2022). Validation of a DSM-5-based screening test using digital phenotyping in the Russian population. S S Korsakov Journal of Neurology and Psychiatry. 122(6). 64–64. 7 indexed citations

11.

Borisevich, Dmitrii, Theresia M. Schnurr, Line Engelbrechtsen, et al.. (2021). Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations. PLoS ONE. 16(10). e0258748–e0258748. 3 indexed citations

12.

Rakitko, Alexander, et al.. (2021). Genome assembly using quantum and quantum-inspired annealing. Scientific Reports. 11(1). 13183–13183. 36 indexed citations

13.

Rakitko, Alexander, et al.. (2021). Screening of Depressive Symptoms in a Russian General Population Sample: A Web-based Cross-sectional Study. Clinical Practice and Epidemiology in Mental Health. 17(1). 205–211. 7 indexed citations

14.

Verbenko, Dmitry A., D. G. Deryabin, Alexander Rakitko, et al.. (2020). Apremilast Pharmacogenomics in Russian Patients with Moderate-to-Severe and Severe Psoriasis. Journal of Personalized Medicine. 11(1). 20–20. 12 indexed citations

15.

Evfratov, Sergey A, Kirill Tsukanov, Alexander Rakitko, et al.. (2020). NIPT Technique Based on the Use of Long Chimeric DNA Reads. Genes. 11(6). 590–590.

16.

Rakitko, Alexander, et al.. (2017). Results of preimplatation genetic screening of embryos in married couples with sperm DNA fragmentation. Akusherstvo i ginekologiia. 8_2017. 104–108.

17.

Kirillova, Anastasia, et al.. (2017). The increase in aneuploidy of embryos Is associated with pathological morphology of the sperm. Russian Journal of Genetics. 53(12). 1378–1381. 4 indexed citations

18.

Rakitko, Alexander, et al.. (2016). A Hierarchical Bayes Ensemble Kalman Filter. Physica D Nonlinear Phenomena. 338. 1–16. 10 indexed citations

19.

Bulinski, Alexander & Alexander Rakitko. (2014). MDR method for nonbinary response variable. Journal of Multivariate Analysis. 135. 25–42. 2 indexed citations

20.

Bulinski, Alexander & Alexander Rakitko. (2014). Estimation of nonbinary random response. Doklady Mathematics. 89(2). 225–229. 1 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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