T. P. Serkova

28 total papers · 455 total citations
21 papers, 383 citations indexed

About

T. P. Serkova is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Molecular Biology. According to data from OpenAlex, T. P. Serkova has authored 21 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Organic Chemistry and 6 papers in Molecular Biology. Recurrent topics in T. P. Serkova's work include Neuroscience and Neuropharmacology Research (8 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Medicinal Plants and Neuroprotection (3 papers). T. P. Serkova is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Medicinal Plants and Neuroprotection (3 papers). T. P. Serkova collaborates with scholars based in Russia, United States and Switzerland. T. P. Serkova's co-authors include С. О. Бачурин, E. F. Shevtsova, E. G. Kireeva, Nikolay Lukoyanov, Маргарита Е. Неганова, Andrey Y. Abramov, Plamena R. Angelova, Paul J. Dyson, С. О. Бачурин and Lucienne Juillerat‐Jeanneret and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of the New York Academy of Sciences and Dalton Transactions.

In The Last Decade

T. P. Serkova

21 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
T. P. Serkova	141	117	113	84	81	21	383
Ryuichi Tsujita	156 1.1×	61 0.5×	99 0.9×	74 0.9×	67 0.8×	17	368
E. G. Kireeva	169 1.2×	156 1.3×	140 1.2×	76 0.9×	61 0.8×	15	360
Ezgi Turunç	142 1.0×	93 0.8×	72 0.6×	78 0.9×	28 0.3×	25	391
Muzaffar Abbas	132 0.9×	85 0.7×	73 0.6×	60 0.7×	48 0.6×	29	385
Anna Furgała	81 0.6×	129 1.1×	54 0.5×	76 0.9×	88 1.1×	22	372
Rajashaker Kache	147 1.0×	162 1.4×	84 0.7×	40 0.5×	149 1.8×	13	426
María Espelosin	265 1.9×	62 0.5×	108 1.0×	47 0.6×	59 0.7×	13	365
Marta Pérez-González	307 2.2×	87 0.7×	145 1.3×	46 0.5×	68 0.8×	18	416
Hiroshi Shimadzu	137 1.0×	280 2.4×	72 0.6×	73 0.9×	77 1.0×	17	444
Erin M. MacKenzie	122 0.9×	69 0.6×	90 0.8×	108 1.3×	51 0.6×	26	410

Countries citing papers authored by T. P. Serkova

Since Specialization

Citations

This map shows the geographic impact of T. P. Serkova'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 T. P. Serkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. P. Serkova more than expected).

Fields of papers citing papers by T. P. Serkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. P. Serkova. 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 T. P. Serkova. The network helps show where T. P. Serkova may publish in the future.

Co-authorship network of co-authors of T. P. Serkova

This figure shows the co-authorship network connecting the top 25 collaborators of T. P. Serkova. A scholar is included among the top collaborators of T. P. Serkova 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 T. P. Serkova. T. P. Serkova 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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