Ivashchenko At

766 total citations
56 papers, 483 citations indexed

About

Ivashchenko At is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Ivashchenko At has authored 56 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 26 papers in Cancer Research and 11 papers in Plant Science. Recurrent topics in Ivashchenko At's work include MicroRNA in disease regulation (25 papers), RNA Research and Splicing (18 papers) and RNA modifications and cancer (15 papers). Ivashchenko At is often cited by papers focused on MicroRNA in disease regulation (25 papers), RNA Research and Splicing (18 papers) and RNA modifications and cancer (15 papers). Ivashchenko At collaborates with scholars based in Kazakhstan, Poland and Germany. Ivashchenko At's co-authors include Anna Pyrkova, Olga Berillo, Siegfried Labeit, Saltanat Kamenova, Аida Kondybayeva, Bernard Faye, Gérard Loiseau, Gaukhar Konuspayeva, Piotr Zielenkiewicz and Cornelia M. Wilson and has published in prestigious journals such as International Journal of Molecular Sciences, BMC Genomics and BioMed Research International.

In The Last Decade

Ivashchenko At

53 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivashchenko At Kazakhstan 14 357 243 88 42 24 56 483
Joaquín Panadero Spain 12 398 1.1× 87 0.4× 79 0.9× 76 1.8× 15 0.6× 21 538
Christelle Robert United Kingdom 11 244 0.7× 86 0.4× 66 0.8× 20 0.5× 9 0.4× 12 447
Veer Singh Marwah Finland 12 287 0.8× 97 0.4× 28 0.3× 16 0.4× 7 0.3× 14 476
Liangyu Shi China 13 133 0.4× 175 0.7× 49 0.6× 19 0.5× 4 0.2× 29 476
Deborah R. Marino United States 11 280 0.8× 162 0.7× 113 1.3× 32 0.8× 4 0.2× 12 430
Dinghui Dai China 11 254 0.7× 192 0.8× 14 0.2× 10 0.2× 9 0.4× 31 406
Zhenfeng Wu China 12 393 1.1× 172 0.7× 60 0.7× 4 0.1× 6 0.3× 26 527
Jilong Han China 13 120 0.3× 109 0.4× 22 0.3× 12 0.3× 3 0.1× 32 367

Countries citing papers authored by Ivashchenko At

Since Specialization
Citations

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

Fields of papers citing papers by Ivashchenko At

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivashchenko At

This figure shows the co-authorship network connecting the top 25 collaborators of Ivashchenko At. A scholar is included among the top collaborators of Ivashchenko At 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 Ivashchenko At. Ivashchenko At 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.
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
2.
Kamal, Mohammad Amjad, et al.. (2024). Differential microRNA expression in the SH-SY5Y human cell model as potential biomarkers for Huntington’s disease. Frontiers in Cellular Neuroscience. 18. 1399742–1399742. 4 indexed citations
3.
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
4.
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
5.
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
6.
Pyrkova, Anna, et al.. (2022). piRNAs may regulate expression of candidate genes of esophageal adenocarcinoma. Frontiers in Genetics. 13. 1069637–1069637. 5 indexed citations
7.
Labeit, Siegfried, et al.. (2022). Identification of Bovine miRNAs with the Potential to Affect Human Gene Expression. Frontiers in Genetics. 12. 705350–705350. 11 indexed citations
8.
Pyrkova, Anna, et al.. (2021). Predicting Associations of miRNAs and Candidate Gastric Cancer Genes for Nanomedicine. Nanomaterials. 11(3). 691–691. 4 indexed citations
9.
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
10.
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
11.
At, Ivashchenko, et al.. (2019). RICE miRNAs ARE POTENTIAL REGULATORS OF HUMAN GENES EXPRESSION. 5(335). 24–31.
12.
Kondybayeva, Аida, et al.. (2018). THE CHARACTERISTICS OF MIRNA BINDING SITES IN MRNA OF ZFHX3 GENE AND ITS ORTHOLOGS. Vavilov Journal of Genetics and Breeding. 22(4). 438–444. 11 indexed citations
13.
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
14.
At, Ivashchenko, et al.. (2016). A method for clustering of miRNA sequences using fragmented programming. Bioinformation. 12(1). 15–18. 1 indexed citations
15.
At, Ivashchenko, et al.. (2016). Prediction of miRNA binding sites in mRNA. Bioinformation. 12(4). 237–240. 18 indexed citations
16.
Berillo, Olga, et al.. (2014). TmiRUSite and TmiROSite scripts: searching for mRNA fragments with miRNA binding sites with encoded amino acid residues. Bioinformation. 10(7). 472–473. 3 indexed citations
17.
Berillo, Olga, et al.. (2013). Binding of intronic miRNAs to the mRNAs of host genes encoding intronic miRNAs and proteins that participate in tumourigenesis. Computers in Biology and Medicine. 43(10). 1374–1381. 20 indexed citations
18.
Konuspayeva, Gaukhar, et al.. (2009). Physiological change in camel milk composition (Camelus dromedarius) 1. Effect of lactation stage. Tropical Animal Health and Production. 42(3). 495–499. 26 indexed citations
19.
Konuspayeva, Gaukhar, et al.. (2009). Physiological change in camel milk composition (Camelus dromedarius) 2: physico-chemical composition of colostrum. Tropical Animal Health and Production. 42(3). 501–505. 14 indexed citations
20.
At, Ivashchenko, et al.. (2009). Using Profiles Based on Nucleotide Hydrophobicity to Define Essential Regions for Splicing. International Journal of Biological Sciences. 5(1). 13–19. 7 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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