Valentina Mosienko
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Social Psychology top 5%
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Natália AleninaMichael BäderDaniel BeisSergey KasparovAnja G. TeschemacherSusann MatthesFriederike KlempinFatimunnisa Qadri
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Receptor Mechanisms and Signaling (12 papers)Neurotransmitter Receptor Influence on Behavior (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- GermanyUnited KingdomRussia
In The Last Decade
Valentina Mosienko
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 605
- Molecular Biology 537
- Social Psychology 234
- Physiology 217
- Endocrine and Autonomic Systems 190
Countries citing papers authored by Valentina Mosienko
This map shows the geographic impact of Valentina Mosienko'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 Valentina Mosienko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Mosienko more than expected).
Fields of papers citing papers by Valentina Mosienko
This network shows the impact of papers produced by Valentina Mosienko. 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 Valentina Mosienko. The network helps show where Valentina Mosienko may publish in the future.
Co-authorship network of co-authors of Valentina Mosienko
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Mosienko. A scholar is included among the top collaborators of Valentina Mosienko 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 Valentina Mosienko. Valentina Mosienko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 46 | |
| 7 | 15 | |
| 8 | 69 | |
| 9 | 8 | |
| 10 | 46 | |
| 11 | 48 | |
| 12 | 27 | |
| 13 | 25 | |
| 14 | 89 | |
| 15 | 161 | |
| 16 | 207 | |
| 17 | 22 | |
| 18 | 16 | |
| 19 | 64 | |
| 20 | 273 |
About Valentina Mosienko
Valentina Mosienko is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Receptor Mechanisms and Signaling (12 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). The work is most often cited by research in Biological Psychiatry (143 citations), Developmental Neuroscience (182 citations) and Behavioral Neuroscience (149 citations). Valentina Mosienko has collaborated with scholars based in Germany, United Kingdom and Russia. Frequent co-authors include Natália Alenina, Michael Bäder, Daniel Beis, Sergey Kasparov, Anja G. Teschemacher, Susann Matthes, Friederike Klempin, Fatimunnisa Qadri, Mihail Todiraş and Bettina Bert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.