Valeriy V. Pak

36 total papers · 1.1k total citations
22 papers, 428 citations indexed

About

Valeriy V. Pak is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Valeriy V. Pak has authored 22 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 3 papers in Surgery. Recurrent topics in Valeriy V. Pak's work include Computational Drug Discovery Methods (11 papers), RNA and protein synthesis mechanisms (7 papers) and Chemical Synthesis and Analysis (5 papers). Valeriy V. Pak is often cited by papers focused on Computational Drug Discovery Methods (11 papers), RNA and protein synthesis mechanisms (7 papers) and Chemical Synthesis and Analysis (5 papers). Valeriy V. Pak collaborates with scholars based in Uzbekistan, South Korea and Russia. Valeriy V. Pak's co-authors include Minseon Koo, Dae Young Kwon, Olim K. Khojimatov, Vsevolod V. Belousov, José Ayté, Elena Hidalgo, Min Jung Kim, Alexey A. Kotlobay, Hye Jeong Yang and Dmitry S. Bilan and has published in prestigious journals such as Chemical Communications, Nature Chemical Biology and Biopolymers.

In The Last Decade

Valeriy V. Pak

21 papers receiving 421 citations

Author Peers

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

Author						Papers	Cites
Valeriy V. Pak	325	93	92	57	55	22	428
Baohua Zhang	214 0.7×	36 0.4×	40 0.4×	24 0.4×	13 0.2×	20	493
Melanie Martin	250 0.8×	30 0.3×	14 0.2×	25 0.4×	66 1.2×	21	385
W Halle	178 0.5×	24 0.3×	53 0.6×	36 0.6×	9 0.2×	41	485
Neslihan Toyran	187 0.6×	33 0.4×	13 0.1×	12 0.2×	39 0.7×	16	442
Vanessa Lima	214 0.7×	57 0.6×	11 0.1×	20 0.4×	15 0.3×	23	407
Duygu Elif Yılmaz	277 0.9×	26 0.3×	24 0.3×	14 0.2×	16 0.3×	20	453
Venkatesan Suryanarayanan	225 0.7×	20 0.2×	113 1.2×	23 0.4×	7 0.1×	24	448
George Popják	297 0.9×	15 0.2×	23 0.3×	47 0.8×	7 0.1×	28	450
Jia Jia	329 1.0×	54 0.6×	11 0.1×	12 0.2×	50 0.9×	25	472
Shikun Suo	391 1.2×	56 0.6×	20 0.2×	5 0.1×	156 2.8×	13	461

Countries citing papers authored by Valeriy V. Pak

Since Specialization

Citations

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

Fields of papers citing papers by Valeriy V. Pak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeriy V. Pak

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