V.K. Akparov

57 total papers · 409 total citations
29 papers, 289 citations indexed

About

V.K. Akparov is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, V.K. Akparov has authored 29 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Oncology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in V.K. Akparov's work include Peptidase Inhibition and Analysis (19 papers), Signaling Pathways in Disease (8 papers) and Enzyme Structure and Function (6 papers). V.K. Akparov is often cited by papers focused on Peptidase Inhibition and Analysis (19 papers), Signaling Pathways in Disease (8 papers) and Enzyme Structure and Function (6 papers). V.K. Akparov collaborates with scholars based in Russia, Iran and Sweden. V.K. Akparov's co-authors include V. M. Stepanov, В. И. Тимофеев, И. П. Куранова, G. G. Chestukhina, Т. А. Гудашева, Т. А. Воронина, С. Б. Середенин, R. U. Ostrovskaya, �. G. Rozantsev and Vytas K. Švedas and has published in prestigious journals such as PLoS ONE, FEBS Letters and Journal of Chromatography A.

In The Last Decade

V.K. Akparov

26 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
V.K. Akparov 192 85 65 64 50 29 289
Ling Chen 145 0.8× 45 0.5× 14 0.2× 39 0.6× 22 0.4× 24 331
Simon Beaudoin 144 0.8× 50 0.6× 25 0.4× 41 0.6× 13 0.3× 23 292
Marco Marenchino 223 1.2× 43 0.5× 48 0.7× 24 0.4× 41 0.8× 15 317
Yeh‐Jun Lim 149 0.8× 35 0.4× 33 0.5× 105 1.6× 26 0.5× 9 284
Mohamed Taha Moutaoufik 211 1.1× 29 0.3× 30 0.5× 12 0.2× 19 0.4× 23 294
Hyeonglim Seo 158 0.8× 17 0.2× 56 0.9× 94 1.5× 27 0.5× 20 324
C. H. Williams 168 0.9× 72 0.8× 76 1.2× 18 0.3× 12 0.2× 32 329
Lin Tian 184 1.0× 25 0.3× 51 0.8× 9 0.1× 38 0.8× 15 323
Yuko Nabeshima 213 1.1× 32 0.4× 11 0.2× 63 1.0× 39 0.8× 25 295
Yi Shi 174 0.9× 24 0.3× 27 0.4× 37 0.6× 17 0.3× 27 303

Countries citing papers authored by V.K. Akparov

Since Specialization
Citations

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

Fields of papers citing papers by V.K. Akparov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V.K. Akparov

This figure shows the co-authorship network connecting the top 25 collaborators of V.K. Akparov. A scholar is included among the top collaborators of V.K. Akparov 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 V.K. Akparov. V.K. Akparov 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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