E. V. Navolotskaya

93 total papers · 675 total citations
73 papers, 563 citations indexed

About

E. V. Navolotskaya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, E. V. Navolotskaya has authored 73 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Cellular and Molecular Neuroscience and 18 papers in Immunology. Recurrent topics in E. V. Navolotskaya's work include Neuropeptides and Animal Physiology (36 papers), Receptor Mechanisms and Signaling (24 papers) and Immune Response and Inflammation (11 papers). E. V. Navolotskaya is often cited by papers focused on Neuropeptides and Animal Physiology (36 papers), Receptor Mechanisms and Signaling (24 papers) and Immune Response and Inflammation (11 papers). E. V. Navolotskaya collaborates with scholars based in Russia, United States and Finland. E. V. Navolotskaya's co-authors include V.P. Zav′yalov, Yu. A. Zolotarev, В. Б. Садовников, В. М. Липкин, Vyacheslav M. Abramov, Natalia V. Malkova, Valery M. Lipkin, I. A. Коstanyan, Vladimir V. Yurovsky and T.V. Chernovskaya and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Peptides.

In The Last Decade

E. V. Navolotskaya

69 papers receiving 554 citations

Author Peers

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

Author						Papers	Cites
E. V. Navolotskaya	317	290	106	97	65	73	563
J. D. Feldman	228 0.7×	178 0.6×	69 0.7×	230 2.4×	60 0.9×	32	696
Yoh-ichi Satoh	243 0.8×	168 0.6×	139 1.3×	73 0.8×	11 0.2×	45	614
Yuki Satoh	229 0.7×	128 0.4×	75 0.7×	50 0.5×	15 0.2×	36	610
Ulf Ernström	153 0.5×	64 0.2×	43 0.4×	181 1.9×	42 0.6×	68	603
Benjamin L. Clarke	235 0.7×	91 0.3×	45 0.4×	54 0.6×	76 1.2×	33	594
György Seprényi	270 0.9×	58 0.2×	65 0.6×	69 0.7×	40 0.6×	40	574
Vesna Vujić	162 0.5×	312 1.1×	126 1.2×	140 1.4×	74 1.1×	39	603
Н. В. Кост	250 0.8×	130 0.4×	59 0.6×	26 0.3×	49 0.8×	49	539
Valery M. Lipkin	482 1.5×	169 0.6×	62 0.6×	34 0.4×	12 0.2×	35	621
Brent Larsen	303 1.0×	103 0.4×	65 0.6×	45 0.5×	10 0.2×	33	643

Countries citing papers authored by E. V. Navolotskaya

Since Specialization

Citations

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

Fields of papers citing papers by E. V. Navolotskaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. V. Navolotskaya

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