Maryna Polyakova

1.5k citations
17 papers · 885 indexed · 1 hit paper · h-index 13

Maryna Polyakova

17 papers receiving 866 citations

Hit Papers

BDNF as a biomarker for successful treatment of mood diso...20142026201820222014100200300

Peers

Maryna Polyakova
Comparison fields: 5 of 80
  • Psychiatry and Mental health 258
  • Cognitive Neuroscience 248
  • Cellular and Molecular Neuroscience 204
  • Biological Psychiatry 170
  • Clinical Psychology 143
Replace Dániel Pham with:
Dániel Pham United States
Sean N. Hatton United States
Christopher E. Byrum United States
Siobhan M. Hoscheidt United States
Sarfraz Khan Pakistan
K.Ranga Rama Krishnan United States
Francesco Amico Ireland
Constanze Groll Germany
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Jacqueline Borg Sweden
Maryna Polyakova relative to Dániel Pham United States Dániel Pham's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 4
2 17
3 18
4 8
5 12
6 21
7 105
8 14
9 1
10 34
11 45
12 27
13 3
14 20
15 87
16
BDNF as a biomarker for successful treatment of mood disorders: A systematic & quantitative meta-analysisbreakdown →
388
17 81

About Maryna Polyakova

Maryna Polyakova is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Biological Psychiatry, having authored 17 papers that have together received 885 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), S100 Proteins and Annexins (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Biological Psychiatry (170 citations), Behavioral Neuroscience (131 citations) and Developmental Neuroscience (109 citations). Maryna Polyakova has collaborated with scholars based in Germany, United Kingdom and Nigeria. Frequent co-authors include Matthias L. Schroeter, Peter Schoenknecht, Karsten Mueller, Katharina Stuke, Christian Sander, M. Schroeter, Roland Mergl, Bernet M. Elzinga, Peter Schönknecht and Marc L. Molendijk. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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