Olga Saik

899 total citations
44 papers, 586 citations indexed

About

Olga Saik is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Olga Saik has authored 44 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Genetics. Recurrent topics in Olga Saik's work include Bioinformatics and Genomic Networks (13 papers), Biomedical Text Mining and Ontologies (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Olga Saik is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Biomedical Text Mining and Ontologies (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Olga Saik collaborates with scholars based in Russia, Germany and Ukraine. Olga Saik's co-authors include В. А. Иванисенко, Vadim V. Klimontov, П. С. Деменков, Timofey Ivanisenko, Н. А. Колчанов, Anton I. Korbut, Evgeny Tiys, Inna N. Lavrik, E. Yu. Bragina and Maxim B. Freidin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Olga Saik

42 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Saik Russia 15 307 92 78 61 61 44 586
П. С. Деменков Russia 16 433 1.4× 84 0.9× 52 0.7× 64 1.0× 64 1.0× 77 674
Demis A. Kia United Kingdom 7 377 1.2× 113 1.2× 64 0.8× 68 1.1× 16 0.3× 10 695
Andrew R. Harper United Kingdom 15 363 1.2× 104 1.1× 62 0.8× 54 0.9× 32 0.5× 41 939
Giovanni Scardoni Italy 8 543 1.8× 73 0.8× 79 1.0× 124 2.0× 24 0.4× 11 850
Benjamin Goudey Australia 11 283 0.9× 115 1.3× 66 0.8× 38 0.6× 48 0.8× 41 632
Guilherme Santos Brazil 12 498 1.6× 85 0.9× 40 0.5× 33 0.5× 79 1.3× 25 725
Elisa Cirillo Netherlands 8 346 1.1× 161 1.8× 33 0.4× 70 1.1× 22 0.4× 10 599
Seongwon Cha South Korea 13 192 0.6× 172 1.9× 72 0.9× 68 1.1× 43 0.7× 41 565
Jagannath Misra United States 13 223 0.7× 76 0.8× 50 0.6× 39 0.6× 31 0.5× 22 445
Cankut Çubuk United Kingdom 15 362 1.2× 94 1.0× 117 1.5× 89 1.5× 19 0.3× 32 648

Countries citing papers authored by Olga Saik

Since Specialization
Citations

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

Fields of papers citing papers by Olga Saik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Saik

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Saik. A scholar is included among the top collaborators of Olga Saik 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 Olga Saik. Olga Saik 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.
Bragina, E. Yu., Olga Saik, В. А. Иванисенко, et al.. (2023). Apoptosis Genes as a Key to Identification of Inverse Comorbidity of Huntington’s Disease and Cancer. International Journal of Molecular Sciences. 24(11). 9385–9385. 11 indexed citations
2.
Saik, Olga, et al.. (2022). Revealing the Molecular Basis of Vascular Restenosis by Gene Network Analysis. 37. 350–353. 1 indexed citations
3.
Klimontov, Vadim V., Vladimir Berikov, & Olga Saik. (2021). Artificial intelligence in diabetology. SHILAP Revista de lepidopterología. 24(2). 156–166. 7 indexed citations
4.
Saik, Olga & Vadim V. Klimontov. (2021). Hypoglycemia, Vascular Disease and Cognitive Dysfunction in Diabetes: Insights from Text Mining-Based Reconstruction and Bioinformatics Analysis of the Gene Networks. International Journal of Molecular Sciences. 22(22). 12419–12419. 10 indexed citations
5.
Ivanisenko, Timofey, et al.. (2020). ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature. BMC Bioinformatics. 21(S11). 228–228. 18 indexed citations
6.
7.
Zolotareva, Olga, Olga Saik, E. Yu. Bragina, et al.. (2019). Comorbidity of asthma and hypertension may be mediated by shared genetic dysregulation and drug side effects. Scientific Reports. 9(1). 16302–16302. 35 indexed citations
8.
Иванисенко, В. А., Timofey Ivanisenko, Olga Saik, et al.. (2019). Web-Based Computational Tools for the Prediction and Analysis of Posttranslational Modifications of Proteins. Methods in molecular biology. 1–20. 4 indexed citations
9.
Saik, Olga, П. С. Деменков, Э. К. Хуснутдинова, et al.. (2018). ANALYSIS OF THE INTERACTIONS OF NEURONAL APOPTOSIS GENES IN THE ASSOCIATIVE GENE NETWORK OF PARKINSON’S DISEASE. Vavilov Journal of Genetics and Breeding. 22(1). 153–160. 4 indexed citations
10.
Saik, Olga, П. С. Деменков, Timofey Ivanisenko, et al.. (2018). Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks. BMC Medical Genomics. 11(S1). 15–15. 35 indexed citations
11.
Medvedev, S. P., Eugeny A. Elisaphenko, Evgeniya Vaskova, et al.. (2017). Genome-wide profiling and differential expression of microRNA in rat pluripotent stem cells. Scientific Reports. 7(1). 2787–2787. 12 indexed citations
12.
Saik, Olga, Н. А. Колчанов, Timofey Ivanisenko, П. С. Деменков, & В. А. Иванисенко. (2017). DEVELOPMENT OF METHODS FOR AUTOMATIC EXTRACTION OF KNOWLEDGE FROM TEXTS OF SCIENTIFIC PUBLICATIONS FOR THE CREATION OF A KNOWLEDGE BASE SOLANUM TUBEROSUM. Sel skokhozyaistvennaya Biologiya. 52(1). 63–74. 6 indexed citations
13.
Saik, Olga, П. С. Деменков, A. L. Markel, et al.. (2017). Role of apoptosis genes in aggression revealed using combined analysis of ANDSystem gene networks, expression and genomic data in grey rats with aggressive behavior. Vavilov Journal of Genetics and Breeding. 21(8). 911–919. 1 indexed citations
14.
Saik, Olga, П. С. Деменков, Timofey Ivanisenko, et al.. (2016). Molecular associations of Primary Open-Angle Glaucoma with potential comorbid diseases (POAG-associome). SHILAP Revista de lepidopterología. 3 indexed citations
15.
Saik, Olga, П. С. Деменков, Timofey Ivanisenko, et al.. (2016). Asociaciones moleculares del glaucoma primario de ángulo abierto (POAG) con enfermedades comórbidas potenciales (asocioma de POAG). Biotecnología aplicada. 33(3). 3201–3206. 1 indexed citations
16.
Ivanisenko, Timofey, et al.. (2016). NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks. Virus Research. 218. 79–85. 4 indexed citations
17.
Laurent, Georges St., Yuri V. Vyatkin, Денис Антонец, et al.. (2016). Functional annotation of the vlinc class of non-coding RNAs using systems biology approach. Nucleic Acids Research. 44(7). 3233–3252. 28 indexed citations
18.
Ignatieva, E. V., Д. А. Афонников, Olga Saik, Е. И. Рогаев, & Н. А. Колчанов. (2016). A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network. BMC Genetics. 17(S3). 158–158. 22 indexed citations
19.
Иванисенко, В. А., Olga Saik, Nikita V. Ivanisenko, et al.. (2015). ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology. BMC Systems Biology. 9(Suppl 2). S2–S2. 55 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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