Maryna Polyakova

41 total papers · 1.5k total citations
17 papers, 877 citations indexed

About

Maryna Polyakova is a scholar working on Molecular Biology, Behavioral Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Maryna Polyakova has authored 17 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Behavioral Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Maryna Polyakova's work include Stress Responses and Cortisol (4 papers), S100 Proteins and Annexins (4 papers) and Nerve injury and regeneration (3 papers). Maryna Polyakova is often cited by papers focused on Stress Responses and Cortisol (4 papers), S100 Proteins and Annexins (4 papers) and Nerve injury and regeneration (3 papers). Maryna Polyakova collaborates with scholars based in Germany, Nigeria and United Kingdom. Maryna Polyakova's co-authors include Matthias L. Schroeter, Peter Schoenknecht, Karsten Mueller, Katharina Stuke, Christian Sander, M. Schroeter, Marc L. Molendijk, Roland Mergl, Štefan Holiga and Bernet M. Elzinga and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Maryna Polyakova

17 papers receiving 859 citations

Hit Papers

BDNF as a biomarker for s... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Maryna Polyakova 257 246 202 169 142 17 877
Peter Schoenknecht 260 1.0× 237 1.0× 206 1.0× 181 1.1× 103 0.7× 20 905
L. Sanjay Nandam 241 0.9× 341 1.4× 217 1.1× 99 0.6× 86 0.6× 14 881
K.Ranga Rama Krishnan 292 1.1× 529 2.2× 156 0.8× 131 0.8× 77 0.5× 12 999
Premal J. Shah 184 0.7× 306 1.2× 140 0.7× 105 0.6× 78 0.5× 16 751
Constanze Groll 279 1.1× 471 1.9× 201 1.0× 168 1.0× 113 0.8× 8 992
Linda Patterson 258 1.0× 369 1.5× 139 0.7× 111 0.7× 77 0.5× 16 1.1k
Darren Roddy 233 0.9× 266 1.1× 113 0.6× 209 1.2× 107 0.8× 31 828
Rawle Carter 120 0.5× 348 1.4× 127 0.6× 119 0.7× 71 0.5× 13 724
Jacqueline Borg 229 0.9× 281 1.1× 304 1.5× 73 0.4× 175 1.2× 37 986
HJ Möller 357 1.4× 164 0.7× 270 1.3× 184 1.1× 142 1.0× 29 989

Countries citing papers authored by Maryna Polyakova

Since Specialization
Citations

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

Fields of papers citing papers by Maryna Polyakova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryna Polyakova

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