Maryna Polyakova

1.5k total citations · 1 hit paper
17 papers, 885 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 885 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, United Kingdom and Nigeria. Maryna Polyakova's co-authors include Matthias L. Schroeter, Peter Schoenknecht, Karsten Mueller, Katharina Stuke, Christian Sander, M. Schroeter, Roland Mergl, Peter Schönknecht, Marc L. Molendijk and E. R. de Kloet 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 866 citations

Hit Papers

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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maryna Polyakova Germany 13 258 248 204 170 143 17 885
L. Sanjay Nandam Australia 14 241 0.9× 344 1.4× 218 1.1× 103 0.6× 87 0.6× 14 892
Li Hui China 19 460 1.8× 300 1.2× 203 1.0× 322 1.9× 189 1.3× 86 1.2k
Alessandro Del Debbio Italy 17 275 1.1× 192 0.8× 314 1.5× 117 0.7× 288 2.0× 21 1.1k
Virginia Soria Spain 21 345 1.3× 293 1.2× 203 1.0× 246 1.4× 196 1.4× 67 1.4k
Jacqueline Borg Sweden 18 231 0.9× 283 1.1× 306 1.5× 77 0.5× 174 1.2× 37 995
Çağdaş Eker Türkiye 15 221 0.9× 442 1.8× 418 2.0× 166 1.0× 122 0.9× 43 1.0k
Darren Roddy Ireland 14 235 0.9× 268 1.1× 113 0.6× 212 1.2× 108 0.8× 31 836
Yia‐Ping Liu Taiwan 18 309 1.2× 166 0.7× 178 0.9× 143 0.8× 147 1.0× 55 879
Yuji Kitaichi Japan 19 198 0.8× 267 1.1× 421 2.1× 121 0.7× 198 1.4× 46 1.2k
Erik O’Hanlon Ireland 21 428 1.7× 554 2.2× 141 0.7× 211 1.2× 186 1.3× 41 1.3k

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

17 of 17 papers shown
1.
Weise, Christopher M., Annerose Engel, Maryna Polyakova, et al.. (2024). Dissecting neural correlates of theory of mind and executive functions in behavioral variant frontotemporal dementia. Alzheimer s Research & Therapy. 16(1). 237–237. 4 indexed citations
2.
Polyakova, Maryna, Karsten Mueller, Katrin Arélin, et al.. (2022). Increased Serum NSE and S100B Indicate Neuronal and Glial Alterations in Subjects Under 71 Years With Mild Neurocognitive Disorder/Mild Cognitive Impairment. Frontiers in Cellular Neuroscience. 16. 788150–788150. 17 indexed citations
3.
Kynast, Jana, et al.. (2021). Age- and Sex-Specific Standard Scores for the Reading the Mind in the Eyes Test. Frontiers in Aging Neuroscience. 12. 607107–607107. 18 indexed citations
5.
Luck, Tobias, Jana Kynast, Francisca S. Rodriguez, et al.. (2021). Reading cognition from the eyes—association of retinal nerve fiber layer thickness with cognitive performance in a population-based study. Brain Communications. 3(4). fcab258–fcab258. 12 indexed citations
6.
Kynast, Jana, Maryna Polyakova, Tobias Luck, et al.. (2020). Mindreading From the Eyes Declines With Aging – Evidence From 1,603 Subjects. Frontiers in Aging Neuroscience. 12. 550416–550416. 21 indexed citations
7.
Frewen, Paul, Matthias L. Schroeter, Giuseppe Riva, et al.. (2020). Neuroimaging the consciousness of self: Review, and conceptual-methodological framework. Neuroscience & Biobehavioral Reviews. 112. 164–212. 105 indexed citations
8.
Polyakova, Maryna, Frauke Beyer, Karsten Mueller, et al.. (2020). Serum BDNF levels correlate with regional cortical thickness in minor depression: a pilot study. Scientific Reports. 10(1). 14524–14524. 14 indexed citations
9.
Polyakova, Maryna, et al.. (2019). Generativity Structure In Russian Sample: Approaches And Concerns. ˜The œEuropean Proceedings of Social & Behavioural Sciences. 109–117. 1 indexed citations
10.
Schroeter, Matthias L., Sandrine Bisenius, Jana Kynast, et al.. (2018). A Modified Reading the Mind in the Eyes Test Predicts Behavioral Variant Frontotemporal Dementia Better Than Executive Function Tests. Frontiers in Aging Neuroscience. 10. 11–11. 34 indexed citations
11.
Polyakova, Maryna, Haiko Schlögl, Julia Sacher, et al.. (2017). Stability of BDNF in Human Samples Stored Up to 6 Months and Correlations of Serum and EDTA-Plasma Concentrations. International Journal of Molecular Sciences. 18(6). 1189–1189. 45 indexed citations
12.
Polyakova, Maryna, et al.. (2016). Serum S100B Is Related to Illness Duration and Clinical Symptoms in Schizophrenia—A Meta-Regression Analysis. Frontiers in Cellular Neuroscience. 10. 46–46. 27 indexed citations
13.
Polyakova, Maryna, Christian Sander, Katrin Arélin, et al.. (2016). First Evidence For Glial Pathology In Late Life Minor Depression: s100b Is Increased In Males With Minor Depression. European Psychiatry. 33(S1). S421–S421. 3 indexed citations
14.
Polyakova, Maryna, Christian Sander, Katrin Arélin, et al.. (2015). First evidence for glial pathology in late life minor depression: S100B is increased in males with minor depression. Frontiers in Cellular Neuroscience. 9. 406–406. 20 indexed citations
15.
Polyakova, Maryna, M. Schroeter, Bernet M. Elzinga, et al.. (2015). Brain-Derived Neurotrophic Factor and Antidepressive Effect of Electroconvulsive Therapy: Systematic Review and Meta-Analyses of the Preclinical and Clinical Literature. PLoS ONE. 10(11). e0141564–e0141564. 87 indexed citations
16.
Polyakova, Maryna, et al.. (2014). BDNF as a biomarker for successful treatment of mood disorders: A systematic & quantitative meta-analysis. Journal of Affective Disorders. 174. 432–440. 388 indexed citations breakdown →
17.
Polyakova, Maryna, Christian Sander, Roland Mergl, et al.. (2013). Prevalence of minor depression in elderly persons with and without mild cognitive impairment: A systematic review. Journal of Affective Disorders. 152-154. 28–38. 81 indexed citations

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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