A. V. Shevëlkin

57 total papers · 453 total citations
30 papers, 348 citations indexed

About

A. V. Shevëlkin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, A. V. Shevëlkin has authored 30 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in A. V. Shevëlkin's work include Neuroscience and Neuropharmacology Research (11 papers), Neurobiology and Insect Physiology Research (6 papers) and Phosphodiesterase function and regulation (6 papers). A. V. Shevëlkin is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Neurobiology and Insect Physiology Research (6 papers) and Phosphodiesterase function and regulation (6 papers). A. V. Shevëlkin collaborates with scholars based in Russia, United States and United Kingdom. A. V. Shevëlkin's co-authors include Mikhail V. Pletnikov, V. P. Nikitin, Yan Jouroukhin, Bagrat Abazyan, В. В. Шерстнев, Chantelle E. Terrillion, Atsushi Kamiya, Christopher A. Ross, Yuto Hasegawa and Atsushi Saito and has published in prestigious journals such as Biological Psychiatry, Brain Research and Journal of Neurochemistry.

In The Last Decade

A. V. Shevëlkin

29 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
A. V. Shevëlkin	174	126	63	59	51	30	348
Hannah G. Sexton	192 1.1×	127 1.0×	97 1.5×	82 1.4×	50 1.0×	18	382
Pauravi J. Gandhi	244 1.4×	113 0.9×	53 0.8×	89 1.5×	58 1.1×	19	352
Xiaokuang Ma	176 1.0×	149 1.2×	61 1.0×	85 1.4×	61 1.2×	27	384
Charlotte K. Callaghan	150 0.9×	54 0.4×	68 1.1×	73 1.2×	49 1.0×	16	353
Dani R. Smith	128 0.7×	141 1.1×	51 0.8×	76 1.3×	24 0.5×	16	357
Cristina Rosell‐Valle	109 0.6×	155 1.2×	50 0.8×	67 1.1×	90 1.8×	26	387
Yunpeng Wang	202 1.2×	157 1.2×	28 0.4×	81 1.4×	68 1.3×	23	389
Hiram Tendilla‐Beltrán	145 0.8×	84 0.7×	68 1.1×	43 0.7×	53 1.0×	28	370
I. V. Kudryashova	154 0.9×	170 1.3×	47 0.7×	45 0.8×	64 1.3×	47	361
Adelaida Sánchez Riolobos	152 0.9×	94 0.7×	35 0.6×	87 1.5×	77 1.5×	21	363

Countries citing papers authored by A. V. Shevëlkin

Since Specialization

Citations

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

Fields of papers citing papers by A. V. Shevëlkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Shevëlkin

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