Vadim Zalunin

27 total papers · 3.4k total citations
4 papers, 137 citations indexed

About

Vadim Zalunin is a scholar working on Molecular Biology, Genetics and Hepatology. According to data from OpenAlex, Vadim Zalunin has authored 4 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Hepatology. Recurrent topics in Vadim Zalunin's work include RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers) and Evolution and Genetic Dynamics (1 paper). Vadim Zalunin is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers) and Evolution and Genetic Dynamics (1 paper). Vadim Zalunin collaborates with scholars based in Russia, Slovakia and United States. Vadim Zalunin's co-authors include Tanya Barrett, Katherine Phillippy, Carlos Evangelista, Hyeseung Lee, Irene F. Kim, Emily Clough, Lukas Wagner, Pierre Ledoux, Kimberly A. Marshall and Naigong Zhang and has published in prestigious journals such as Nucleic Acids Research and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

Vadim Zalunin

4 papers receiving 136 citations

Hit Papers

NCBI GEO: archive for gen... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Vadim Zalunin 87 28 17 12 11 4 137
Veronica Shamovsky 77 0.9× 19 0.7× 33 1.9× 12 1.0× 7 0.6× 4 145
Chris English 94 1.1× 22 0.8× 10 0.6× 8 0.7× 16 1.5× 3 146
Paul Najm 83 1.0× 47 1.7× 8 0.5× 14 1.2× 8 0.7× 5 119
Ting-Huei Chen 104 1.2× 33 1.2× 7 0.4× 10 0.8× 21 1.9× 6 163
Cristoffer Sevilla 204 2.3× 26 0.9× 25 1.5× 13 1.1× 6 0.5× 6 275
Yeheng Liu 62 0.7× 16 0.6× 16 0.9× 6 0.5× 11 1.0× 4 115
Yen‐Bo Lin 54 0.6× 19 0.7× 19 1.1× 12 1.0× 21 1.9× 4 270
T. Salameh 89 1.0× 13 0.5× 25 1.5× 6 0.5× 18 1.6× 5 215
Bitnara Han 118 1.4× 50 1.8× 11 0.6× 7 0.6× 19 1.7× 5 154
Peri Noori 92 1.1× 28 1.0× 20 1.2× 11 0.9× 25 2.3× 7 147

Countries citing papers authored by Vadim Zalunin

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Zalunin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Zalunin

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