Anna V. Shnyrova

38 total papers · 1.5k total citations
21 papers, 1.1k citations indexed

About

Anna V. Shnyrova is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Anna V. Shnyrova has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Physiology. Recurrent topics in Anna V. Shnyrova's work include Lipid Membrane Structure and Behavior (15 papers), Cellular transport and secretion (8 papers) and Erythrocyte Function and Pathophysiology (4 papers). Anna V. Shnyrova is often cited by papers focused on Lipid Membrane Structure and Behavior (15 papers), Cellular transport and secretion (8 papers) and Erythrocyte Function and Pathophysiology (4 papers). Anna V. Shnyrova collaborates with scholars based in Spain, United States and Russia. Anna V. Shnyrova's co-authors include Vadim A. Frolov, Joshua Zimmerberg, Artur Escalada, Sergey A. Akimov, Ramya Tunuguntla, Yinmin Wang, Aleksandr Noy, Costas P. Grigoropoulos, Kang Rae Cho and Frances I. Allen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Anna V. Shnyrova

21 papers receiving 1.1k 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 V. Shnyrova 701 345 264 151 119 21 1.1k
Ammasi Periasamy 899 1.3× 198 0.6× 195 0.7× 170 1.1× 94 0.8× 19 1.4k
Andra C. Dumitru 597 0.9× 229 0.7× 140 0.5× 60 0.4× 132 1.1× 29 1.4k
Justin A. Ross 668 1.0× 211 0.6× 174 0.7× 274 1.8× 73 0.6× 24 1.3k
Sheldon Park 952 1.4× 163 0.5× 258 1.0× 152 1.0× 130 1.1× 34 1.4k
Silvia Galiani 628 0.9× 294 0.9× 118 0.4× 126 0.8× 47 0.4× 35 1.3k
Jan Steinkühler 968 1.4× 351 1.0× 165 0.6× 117 0.8× 49 0.4× 37 1.3k
Gerbrand Koster 630 0.9× 237 0.7× 439 1.7× 79 0.5× 25 0.2× 16 1.1k
Simon J. Attwood 512 0.7× 282 0.8× 210 0.8× 89 0.6× 84 0.7× 16 1.1k
Ming‐Tzo Wei 540 0.8× 383 1.1× 171 0.6× 95 0.6× 74 0.6× 35 1.2k
Fuyuki Tokumasu 819 1.2× 212 0.6× 71 0.3× 207 1.4× 72 0.6× 38 1.4k

Countries citing papers authored by Anna V. Shnyrova

Since Specialization
Citations

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

Fields of papers citing papers by Anna V. Shnyrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna V. Shnyrova

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