Ivan S. Chernoivanenko

9 total papers · 434 total citations
9 papers, 328 citations indexed

About

Ivan S. Chernoivanenko is a scholar working on Molecular Biology, Cell Biology and Biomaterials. According to data from OpenAlex, Ivan S. Chernoivanenko has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cell Biology and 2 papers in Biomaterials. Recurrent topics in Ivan S. Chernoivanenko's work include Skin and Cellular Biology Research (7 papers), RNA Research and Splicing (5 papers) and RNA regulation and disease (4 papers). Ivan S. Chernoivanenko is often cited by papers focused on Skin and Cellular Biology Research (7 papers), RNA Research and Splicing (5 papers) and RNA regulation and disease (4 papers). Ivan S. Chernoivanenko collaborates with scholars based in Russia and United States. Ivan S. Chernoivanenko's co-authors include Alexander А. Minin, Elena A. Matveeva, Vladimir I. Gelfand, Robert D. Goldman, Oxana Nekrasova, Melissa G. Mendez, Pyotr A. Tyurin‐Kuzmin, Edward R. Kuczmarski, Larisa Venkova and Maxim V. Gerashchenko and has published in prestigious journals such as The FASEB Journal, Molecular Biology of the Cell and Cell Biology International.

In The Last Decade

Ivan S. Chernoivanenko

9 papers receiving 326 citations

Author Peers

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

Author Last Decade Papers Cites
Ivan S. Chernoivanenko 216 163 28 26 23 9 328
Maria P. Kotini 208 1.0× 113 0.7× 22 0.8× 15 0.6× 31 1.3× 11 335
Dimitris Basagiannis 203 0.9× 119 0.7× 28 1.0× 35 1.3× 46 2.0× 9 339
Amy McMahon 214 1.0× 126 0.8× 22 0.8× 22 0.8× 42 1.8× 15 362
Ivan Ivetac 222 1.0× 109 0.7× 23 0.8× 10 0.4× 33 1.4× 8 310
Samuel Mathieu 109 0.5× 127 0.8× 37 1.3× 35 1.3× 20 0.9× 10 284
Jennifer Axnick 185 0.9× 94 0.6× 21 0.8× 16 0.6× 22 1.0× 7 321
Sara Sigurbjörnsdóttir 147 0.7× 121 0.7× 21 0.8× 15 0.6× 22 1.0× 7 256
Aishlin Hassan 221 1.0× 122 0.7× 45 1.6× 21 0.8× 23 1.0× 11 333
Janine McCaughey 156 0.7× 172 1.1× 21 0.8× 27 1.0× 17 0.7× 9 275
Chiara Camillo 161 0.7× 82 0.5× 30 1.1× 17 0.7× 25 1.1× 15 290

Countries citing papers authored by Ivan S. Chernoivanenko

Since Specialization
Citations

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

Fields of papers citing papers by Ivan S. Chernoivanenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan S. Chernoivanenko

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan S. Chernoivanenko. A scholar is included among the top collaborators of Ivan S. Chernoivanenko 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 S. Chernoivanenko. Ivan S. Chernoivanenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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