И. В. Серков

96 total papers · 645 total citations
60 papers, 527 citations indexed

About

И. В. Серков is a scholar working on Organic Chemistry, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, И. В. Серков has authored 60 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Organic Chemistry, 28 papers in Pharmacology and 17 papers in Computational Theory and Mathematics. Recurrent topics in И. В. Серков's work include Cholinesterase and Neurodegenerative Diseases (21 papers), Synthesis and biological activity (19 papers) and Computational Drug Discovery Methods (17 papers). И. В. Серков is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (21 papers), Synthesis and biological activity (19 papers) and Computational Drug Discovery Methods (17 papers). И. В. Серков collaborates with scholars based in Russia, United States and Czechia. И. В. Серков's co-authors include Alexey N. Proshin, Natalia P. Boltneva, Галина Ф. Махаева, С. О. Бачурин, Sofya V. Lushchekina, N. V. Kovaleva, Елена В. Рудакова, Rudy J. Richardson, В. В. Безуглов and С. О. Бачурин and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Molecules.

In The Last Decade

И. В. Серков

57 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
И. В. Серков	318	291	227	138	34	60	527
Poonam Piplani	282 0.9×	210 0.7×	143 0.6×	168 1.2×	49 1.4×	65	579
Marco Antônio Ceschi	330 1.0×	154 0.5×	114 0.5×	125 0.9×	29 0.9×	35	511
Murat Şentürk	268 0.8×	274 0.9×	142 0.6×	224 1.6×	16 0.5×	29	502
Ashish M. Kanhed	201 0.6×	167 0.6×	162 0.7×	131 0.9×	52 1.5×	37	467
Olga G. Serebryakova	349 1.1×	353 1.2×	246 1.1×	139 1.0×	30 0.9×	36	573
José A. Fontenla	306 1.0×	130 0.4×	75 0.3×	231 1.7×	40 1.2×	36	610
Slavica Filipić	178 0.6×	210 0.7×	204 0.9×	195 1.4×	61 1.8×	30	558
Hamilton Mitsugu Ishiki	199 0.6×	71 0.2×	111 0.5×	198 1.4×	27 0.8×	43	588
Keiko Tago	339 1.1×	176 0.6×	88 0.4×	185 1.3×	27 0.8×	25	555
Seyedeh Sara Mirfazli	353 1.1×	190 0.7×	148 0.7×	120 0.9×	32 0.9×	23	535

Countries citing papers authored by И. В. Серков

Since Specialization

Citations

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

Fields of papers citing papers by И. В. Серков

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. В. Серков. 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 И. В. Серков. The network helps show where И. В. Серков may publish in the future.

Co-authorship network of co-authors of И. В. Серков

This figure shows the co-authorship network connecting the top 25 collaborators of И. В. Серков. A scholar is included among the top collaborators of И. В. Серков 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 И. В. Серков. И. В. Серков 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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