Dina Popova

22 total papers · 713 total citations
12 papers, 455 citations indexed

About

Dina Popova is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Dina Popova has authored 12 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Behavioral Neuroscience. Recurrent topics in Dina Popova's work include Neuroscience and Neuropharmacology Research (8 papers), Stress Responses and Cortisol (3 papers) and Memory and Neural Mechanisms (3 papers). Dina Popova is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Stress Responses and Cortisol (3 papers) and Memory and Neural Mechanisms (3 papers). Dina Popova collaborates with scholars based in United States, Finland and Hong Kong. Dina Popova's co-authors include Eero Ċastrén, Nina N. Karpova, Jesse Lindholm, Yumiko Akamine, Natalia Kulesskaya, Regina M. Sullivan, René Hen, Ettore Tiraboschi, Liam Drew and Hanna Antila and has published in prestigious journals such as Science, Journal of Neuroscience and Molecular Psychiatry.

In The Last Decade

Dina Popova

12 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Dina Popova 251 148 121 97 91 12 455
Yumiko Akamine 247 1.0× 167 1.1× 110 0.9× 83 0.9× 71 0.8× 9 411
Sarah E. Bulin 190 0.8× 129 0.9× 113 0.9× 116 1.2× 151 1.7× 12 524
Irina Vardya 261 1.0× 94 0.6× 129 1.1× 107 1.1× 66 0.7× 11 426
Annemarie van der Meij 245 1.0× 162 1.1× 94 0.8× 45 0.5× 106 1.2× 11 488
Chianfang G. Cherng 345 1.4× 161 1.1× 139 1.1× 131 1.4× 68 0.7× 28 542
Luiz Fernando Takase 188 0.7× 139 0.9× 126 1.0× 81 0.8× 155 1.7× 19 547
Eduardo Loureiro‐Campos 244 1.0× 83 0.6× 84 0.7× 145 1.5× 80 0.9× 17 453
Wendie N. Marks 242 1.0× 139 0.9× 145 1.2× 109 1.1× 51 0.6× 27 522
B. R. K. Douma 236 0.9× 101 0.7× 143 1.2× 138 1.4× 40 0.4× 11 460
Hisahito Ishida 332 1.3× 104 0.7× 151 1.2× 172 1.8× 40 0.4× 11 516

Countries citing papers authored by Dina Popova

Since Specialization
Citations

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

Fields of papers citing papers by Dina Popova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Popova

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