Ivan V. Chernikov

623 total citations
24 papers, 487 citations indexed

About

Ivan V. Chernikov is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Ivan V. Chernikov has authored 24 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Ivan V. Chernikov's work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (16 papers) and MicroRNA in disease regulation (7 papers). Ivan V. Chernikov is often cited by papers focused on RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (16 papers) and MicroRNA in disease regulation (7 papers). Ivan V. Chernikov collaborates with scholars based in Russia, United States and Belarus. Ivan V. Chernikov's co-authors include Elena L. Chernolovskaya, Valentin V. Vlassov, Marina A. Zenkova, Mariya I. Meschaninova, A. G. Venyaminova, Aliya G. Venyaminova, Olga Patutina, Maxim S. Kupryushkin, Д. В. Пышный and Oleg V. Markov and has published in prestigious journals such as Nucleic Acids Research, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Ivan V. Chernikov

24 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan V. Chernikov Russia 10 420 106 49 41 34 24 487
Guanxin Shen China 13 411 1.0× 96 0.9× 61 1.2× 36 0.9× 62 1.8× 34 500
Charles H. Adelmann United States 9 309 0.7× 64 0.6× 39 0.8× 55 1.3× 78 2.3× 13 472
Khaled Messaoudi France 5 205 0.5× 95 0.9× 49 1.0× 65 1.6× 45 1.3× 7 391
Julia Jones United Kingdom 9 272 0.6× 94 0.9× 50 1.0× 106 2.6× 53 1.6× 18 410
Malgorzata Maria Pakula Denmark 7 339 0.8× 123 1.2× 24 0.5× 26 0.6× 21 0.6× 7 405
Lavona Casson United States 11 581 1.4× 61 0.6× 44 0.9× 55 1.3× 60 1.8× 14 690
Christian Schmithals Germany 12 313 0.7× 192 1.8× 41 0.8× 90 2.2× 61 1.8× 18 478
Yunping Lu China 10 266 0.6× 64 0.6× 46 0.9× 20 0.5× 107 3.1× 22 406
Yuta Endo Japan 11 141 0.3× 59 0.6× 45 0.9× 15 0.4× 45 1.3× 40 370
Ni Li China 5 164 0.4× 75 0.7× 70 1.4× 35 0.9× 64 1.9× 11 392

Countries citing papers authored by Ivan V. Chernikov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan V. Chernikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan V. Chernikov. 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 Ivan V. Chernikov. The network helps show where Ivan V. Chernikov may publish in the future.

Co-authorship network of co-authors of Ivan V. Chernikov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan V. Chernikov. A scholar is included among the top collaborators of Ivan V. Chernikov 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 Ivan V. Chernikov. Ivan V. Chernikov 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.
Chernikov, Ivan V., et al.. (2024). Cholesterol Conjugates of Small Interfering RNA: Linkers and Patterns of Modification. Molecules. 29(4). 786–786. 4 indexed citations
2.
Chernikov, Ivan V., Aleksandra V. Sen’kova, Mariya I. Meschaninova, et al.. (2024). Cholesterol-Modified Anti-Il6 siRNA Reduces the Severity of Acute Lung Injury in Mice. Cells. 13(9). 767–767. 3 indexed citations
3.
Chernikov, Ivan V., С. К. Мирошниченко, Olga Patutina, et al.. (2024). Extracellular vesicle mimetics as delivery vehicles for oligonucleotide-based therapeutics and plasmid DNA. Frontiers in Bioengineering and Biotechnology. 12. 1437817–1437817. 2 indexed citations
4.
5.
Chernikov, Ivan V., Mariya I. Meschaninova, Innokenty A. Savin, et al.. (2023). Cholesterol-Conjugated Supramolecular Multimeric siRNAs: Effect of siRNA Length on Accumulation and Silencing In Vitro and In Vivo. Nucleic Acid Therapeutics. 33(6). 361–373. 3 indexed citations
6.
Chernikov, Ivan V., et al.. (2023). Structural Modifications of siRNA Improve Its Performance In Vivo. International Journal of Molecular Sciences. 24(2). 956–956. 25 indexed citations
7.
Chernikov, Ivan V., Aleksandra V. Sen’kova, Innokenty A. Savin, et al.. (2023). siRNA-Mediated Timp1 Silencing Inhibited the Inflammatory Phenotype during Acute Lung Injury. International Journal of Molecular Sciences. 24(2). 1641–1641. 9 indexed citations
8.
9.
Markov, Oleg V., et al.. (2022). Symmetric lipophilic polyamines exhibiting antitumor activity. Bioorganic & Medicinal Chemistry. 76. 117089–117089. 1 indexed citations
10.
Sen’kova, Aleksandra V., Ivan V. Chernikov, Т. О. Кабилова, et al.. (2021). Folate-Equipped Cationic Liposomes Deliver Anti-MDR1-siRNA to the Tumor and Increase the Efficiency of Chemotherapy. Pharmaceutics. 13(8). 1252–1252. 16 indexed citations
11.
Kupryushkin, Maxim S., Н. Л. Миронова, Olga Patutina, et al.. (2021). Antisense oligonucleotide gapmers containing phosphoryl guanidine groups reverse MDR1-mediated multiple drug resistance of tumor cells. Molecular Therapy — Nucleic Acids. 27. 211–226. 26 indexed citations
12.
13.
Chernikov, Ivan V., Mariya I. Meschaninova, & Elena L. Chernolovskaya. (2020). Preparation, Determination of Activity, and Biodistribution of Cholesterol-Containing Nuclease-Resistant siRNAs In Vivo. Methods in molecular biology. 2115. 57–77. 5 indexed citations
14.
Shmendel, Elena V., Ivan V. Chernikov, Н. Г. Морозова, et al.. (2020). Uncharged Gemini-Amphiphiles as Components of Cationic Liposomes for Delivery of Nucleic Acids. Russian Journal of Bioorganic Chemistry. 46(6). 1250–1260. 4 indexed citations
15.
Chernikov, Ivan V., Mariya I. Meschaninova, A. G. Venyaminova, et al.. (2019). Investigation of the Internalization of Fluorescently Labeled Lipophilic siRNA into Cultured Tumor Cells. Russian Journal of Bioorganic Chemistry. 45(6). 766–773. 1 indexed citations
16.
Chernikov, Ivan V., Valentin V. Vlassov, & Elena L. Chernolovskaya. (2019). Current Development of siRNA Bioconjugates: From Research to the Clinic. Frontiers in Pharmacology. 10. 167 indexed citations
17.
Степанов, А. В., Oleg V. Markov, Ivan V. Chernikov, et al.. (2018). Autocrine-based selection of ligands for personalized CAR-T therapy of lymphoma. Science Advances. 4(11). eaau4580–eaau4580. 21 indexed citations
18.
Chernikov, Ivan V., Mariya I. Meschaninova, A. G. Venyaminova, et al.. (2018). Fluorophore Labeling Affects the Cellular Accumulation and Gene Silencing Activity of Cholesterol-Modified siRNAs In Vitro. Nucleic Acid Therapeutics. 29(1). 33–43. 13 indexed citations
19.
Chernikov, Ivan V., Mariya I. Meschaninova, A. G. Venyaminova, et al.. (2017). Cholesterol-Containing Nuclease-Resistant siRNA Accumulates in Tumors in a Carrier-free Mode and Silences MDR1 Gene. Molecular Therapy — Nucleic Acids. 6. 209–220. 66 indexed citations
20.
Chernikov, Ivan V., Mariya I. Meschaninova, Aliya G. Venyaminova, et al.. (2011). Carrier-free cellular uptake and the gene-silencing activity of the lipophilic siRNAs is strongly affected by the length of the linker between siRNA and lipophilic group. Nucleic Acids Research. 40(5). 2330–2344. 78 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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