M. L. Perepechaeva

47 total papers · 432 total citations
33 papers, 293 citations indexed

About

M. L. Perepechaeva is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, M. L. Perepechaeva has authored 33 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Pharmacology and 8 papers in Cancer Research. Recurrent topics in M. L. Perepechaeva's work include Genomics, phytochemicals, and oxidative stress (8 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Glutathione Transferases and Polymorphisms (7 papers). M. L. Perepechaeva is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (8 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Glutathione Transferases and Polymorphisms (7 papers). M. L. Perepechaeva collaborates with scholars based in Russia, United Kingdom and Czechia. M. L. Perepechaeva's co-authors include A. Yu. Grishanova, Lyubov S. Klyushova, Н. Г. Колосова, Natalia A. Stefanova, Yulia Sidorova, В. И. Поткин, Taisiya S. Sukhikh, Е.В. Лидер, A. L. Markel and Elena N. Pivovarova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

M. L. Perepechaeva

29 papers receiving 289 citations

Author Peers

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

Author Last Decade Papers Cites
M. L. Perepechaeva 105 54 43 41 33 33 293
F. Timár 131 1.2× 49 0.9× 20 0.5× 23 0.6× 26 0.8× 29 354
A Lageron 87 0.8× 27 0.5× 13 0.3× 39 1.0× 74 2.2× 59 291
Merve Alpay 127 1.2× 56 1.0× 11 0.3× 24 0.6× 9 0.3× 41 338
Keiji Fujii 108 1.0× 43 0.8× 44 1.0× 37 0.9× 13 0.4× 39 340
Hideo Fukazawa 137 1.3× 68 1.3× 7 0.2× 53 1.3× 26 0.8× 28 326
Hanan S. Althagafy 91 0.9× 23 0.4× 16 0.4× 35 0.9× 19 0.6× 32 248
Heba M. Karam 131 1.2× 27 0.5× 16 0.4× 21 0.5× 23 0.7× 23 347
Hongyan Wang 109 1.0× 44 0.8× 16 0.4× 13 0.3× 36 1.1× 15 254
Paolo Rossato 98 0.9× 40 0.7× 9 0.2× 40 1.0× 35 1.1× 26 351
Richard W. Topham 121 1.2× 24 0.4× 49 1.1× 15 0.4× 13 0.4× 25 348

Countries citing papers authored by M. L. Perepechaeva

Since Specialization
Citations

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

Fields of papers citing papers by M. L. Perepechaeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. L. Perepechaeva. 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 M. L. Perepechaeva. The network helps show where M. L. Perepechaeva may publish in the future.

Co-authorship network of co-authors of M. L. Perepechaeva

This figure shows the co-authorship network connecting the top 25 collaborators of M. L. Perepechaeva. A scholar is included among the top collaborators of M. L. Perepechaeva 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 M. L. Perepechaeva. M. L. Perepechaeva 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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