Anna Pyrkova

400 total citations
26 papers, 236 citations indexed

About

Anna Pyrkova is a scholar working on Molecular Biology, Cancer Research and Computer Networks and Communications. According to data from OpenAlex, Anna Pyrkova has authored 26 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Cancer Research and 3 papers in Computer Networks and Communications. Recurrent topics in Anna Pyrkova's work include MicroRNA in disease regulation (13 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (6 papers). Anna Pyrkova is often cited by papers focused on MicroRNA in disease regulation (13 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (6 papers). Anna Pyrkova collaborates with scholars based in Kazakhstan, Poland and Germany. Anna Pyrkova's co-authors include Ivashchenko At, Olga Berillo, Siegfried Labeit, Piotr Zielenkiewicz, Аida Kondybayeva, Saltanat Kamenova, Cornelia M. Wilson, Vladimir N. Uversky, Fei Xing and Qingdong Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and BMC Genomics.

In The Last Decade

Anna Pyrkova

25 papers receiving 225 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anna Pyrkova	179	143	46	15	14	26	236
Benjamin S. Geller	229 1.3×	39 0.3×	27 0.6×	4 0.3×	7 0.5×	10	281
Shenghui Xing	182 1.0×	67 0.5×	33 0.7×	2 0.1×	16 1.1×	11	225
Bharat Sridhar	325 1.8×	127 0.9×	16 0.3×	2 0.1×	6 0.4×	7	352
Anikó Bozsik	162 0.9×	28 0.2×	45 1.0×	5 0.3×	15 1.1×	26	230
Zongchang Du	267 1.5×	99 0.7×	17 0.4×	3 0.2×	9 0.6×	4	285
Christy Fillman	438 2.4×	59 0.4×	22 0.5×	4 0.3×	6 0.4×	3	461
David Jáspez	117 0.7×	96 0.7×	15 0.3×	2 0.1×	4 0.3×	9	156
Olivia Mackenzie	131 0.7×	29 0.2×	65 1.4×	3 0.2×	5 0.4×	6	160

Countries citing papers authored by Anna Pyrkova

Since Specialization

Citations

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

Fields of papers citing papers by Anna Pyrkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Pyrkova

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

Жакыпбек, Ырысжан, Qingdong Shi, Fei Xing, et al.. (2025). In Silico Analysis of miRNA-mRNA Binding Sites in Arabidopsis thaliana as a Model for Drought-Tolerant Plants. Plants. 14(12). 1800–1800. 2 indexed citations

Pyrkova, Anna, et al.. (2023). Interactions of piRNAs with the mRNA of Candidate Genes in Esophageal Squamous Cell Carcinoma. Current Issues in Molecular Biology. 45(7). 6140–6153. 4 indexed citations

At, Ivashchenko, et al.. (2023). In silico analysis of maize and wheat miRNAs as potential regulators of human gene expression. 5. 4–4. 3 indexed citations

Pyrkova, Anna, et al.. (2023). Endogenous piRNAs Can Interact with the Omicron Variant of the SARS-CoV-2 Genome. Current Issues in Molecular Biology. 45(4). 2950–2964. 3 indexed citations

Pyrkova, Anna, et al.. (2022). In Silico Study of piRNA Interactions with the SARS-CoV-2 Genome. International Journal of Molecular Sciences. 23(17). 9919–9919. 9 indexed citations

Wilson, Cornelia M., et al.. (2022). Bioinformatics Analysis of the Interaction of miRNAs and piRNAs with Human mRNA Genes Having di- and Trinucleotide Repeats. Genes. 13(5). 800–800. 12 indexed citations

Pyrkova, Anna, et al.. (2022). piRNAs may regulate expression of candidate genes of esophageal adenocarcinoma. Frontiers in Genetics. 13. 1069637–1069637. 5 indexed citations

Pyrkova, Anna, et al.. (2022). Improving teachers’ skills to integrate the microcontroller technology in computer engineering education. Education and Information Technologies. 27(6). 8381–8412. 2 indexed citations

Kamenova, Saltanat, et al.. (2022). piRNA and miRNA Can Suppress the Expression of Multiple Sclerosis Candidate Genes. Nanomaterials. 13(1). 22–22. 9 indexed citations

10.

Pyrkova, Anna, et al.. (2021). Predicting Associations of miRNAs and Candidate Gastric Cancer Genes for Nanomedicine. Nanomaterials. 11(3). 691–691. 4 indexed citations

11.

Kamenova, Saltanat, et al.. (2021). Evolutionary Changes in the Interaction of miRNA With mRNA of Candidate Genes for Parkinson’s Disease. Frontiers in Genetics. 12. 647288–647288. 8 indexed citations

12.

Pyrkova, Anna, et al.. (2020). In silico prediction of human genes as potential targets for rice miRNAs. Computational Biology and Chemistry. 87. 107305–107305. 16 indexed citations

13.

Pyrkova, Anna, et al.. (2020). In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs. Frontiers in Genetics. 11. 605054–605054. 11 indexed citations

14.

Pyrkova, Anna, et al.. (2020). Using FHE in a binary ring Encryption and Decryption with BLE Nano kit microcontroller. SHILAP Revista de lepidopterología. 202. 15002–15002.

15.

Pyrkova, Anna, et al.. (2020). Compare encryption performance across devices to ensure the security of the IOT. Indonesian Journal of Electrical Engineering and Computer Science. 20(2). 894–894. 6 indexed citations

16.

At, Ivashchenko, et al.. (2017). The Binding Sites of miR-619-5p in the mRNAs of Human and Orthologous Genes. BMC Genomics. 18(1). 428–428. 28 indexed citations

17.

At, Ivashchenko, et al.. (2016). A method for clustering of miRNA sequences using fragmented programming. Bioinformation. 12(1). 15–18. 1 indexed citations

18.

At, Ivashchenko, et al.. (2016). Prediction of miRNA binding sites in mRNA. Bioinformation. 12(4). 237–240. 18 indexed citations

19.

At, Ivashchenko, et al.. (2014). MiR-3960 binding sites with mRNA of human genes. Bioinformation. 10(7). 423–427. 27 indexed citations

20.

At, Ivashchenko, et al.. (2014). The Properties of Binding Sites of miR-619-5p, miR-5095, miR-5096, and miR-5585-3p in the mRNAs of Human Genes. BioMed Research International. 2014. 1–8. 19 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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