Anna Sedelnikova

44 total papers · 437 total citations
25 papers, 378 citations indexed

About

Anna Sedelnikova is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics. According to data from OpenAlex, Anna Sedelnikova has authored 25 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 6 papers in Biophysics. Recurrent topics in Anna Sedelnikova's work include Neuroscience and Neuropharmacology Research (10 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Neuroscience and Neural Engineering (4 papers). Anna Sedelnikova is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Neuroscience and Neural Engineering (4 papers). Anna Sedelnikova collaborates with scholars based in United States, Romania and France. Anna Sedelnikova's co-authors include David S. Weiss, Nadezhda N. Zheleznova, Stanislav O. Zakharkin, Natalia Filippova, Alpa Khatri, Yinong Zong, Craig D. Smith, Yongchang Chang, Holly R. Harris and Bennett L. Ibey and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physiology and Scientific Reports.

In The Last Decade

Anna Sedelnikova

23 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Anna Sedelnikova 265 247 36 32 26 25 378
Akiko Seto 97 0.4× 196 0.8× 29 0.8× 16 0.5× 13 0.5× 28 337
Н. Г. Камышев 190 0.7× 122 0.5× 15 0.4× 54 1.7× 9 0.3× 46 412
Han Chow Chua 163 0.6× 223 0.9× 14 0.4× 10 0.3× 38 1.5× 15 393
L. L. Miner 197 0.7× 181 0.7× 15 0.4× 20 0.6× 41 1.6× 11 357
Yingxin Yu 131 0.5× 100 0.4× 17 0.5× 28 0.9× 45 1.7× 24 378
Alexander H. Friedman 142 0.5× 107 0.4× 26 0.7× 7 0.2× 68 2.6× 23 391
J.W. Hambley 201 0.8× 127 0.5× 63 1.8× 9 0.3× 103 4.0× 21 422
Khalil Saadipour 160 0.6× 99 0.4× 10 0.3× 19 0.6× 18 0.7× 14 400
Eugenio Aztiria 177 0.7× 223 0.9× 12 0.3× 15 0.5× 75 2.9× 16 357
Caline S. Karam 153 0.6× 252 1.0× 11 0.3× 21 0.7× 26 1.0× 11 409

Countries citing papers authored by Anna Sedelnikova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sedelnikova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Sedelnikova. 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 Anna Sedelnikova. The network helps show where Anna Sedelnikova may publish in the future.

Co-authorship network of co-authors of Anna Sedelnikova

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