Daria Davydova
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Ion channel regulation and function 2
- Pluripotent Stem Cells Research 2
- Surgery 3
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Stefano Romorini (2 shared papers)Wilko D. Altrock (2 shared papers)Eckart D. Gundelfinger (2 shared papers)Anna Fejtová (2 shared papers)Susanne Kneitz (1 shared paper)Manfred Gessler (1 shared paper)Chika Yokota (1 shared paper)Jan M. Stenman (1 shared paper)
- Journals
- Neuron (1 paper)Journal of Neuroscience (1 paper)The Journal of Cell Biology (1 paper)Science Signaling (1 paper)Acta Naturae (1 paper)
- Partner nations
- RussiaGermanySwitzerland
In The Last Decade
Daria Davydova
8 papers receiving 335 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 122
- Cellular and Molecular Neuroscience 134
- Neurology 41
- Developmental Neuroscience 17
- Structural Biology 5
Countries citing papers authored by Daria Davydova
This map shows the geographic impact of Daria Davydova'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 Daria Davydova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daria Davydova more than expected).
Fields of papers citing papers by Daria Davydova
This network shows the impact of papers produced by Daria Davydova. 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 Daria Davydova. The network helps show where Daria Davydova may publish in the future.
Co-authors
The 25 scholars most cited alongside Daria Davydova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2017 | 86 | |
| 3 | 2009 | 80 | |
| 4 | 2009 | 23 | |
| 5 | 2017 | 14 | |
| 6 | 2010 | 6 | |
| 7 | 2011 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 |
About Daria Davydova
Daria Davydova is a scholar working on Molecular Biology, Surgery, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 9 papers that have together received 338 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (3 papers), Mesenchymal stem cell research (3 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pluripotent Stem Cells Research (2 papers), Cellular transport and secretion (2 papers), Private Equity and Venture Capital (2 papers) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Cell Biology (122 citations), Cellular and Molecular Neuroscience (134 citations), Neurology (41 citations), Developmental Neuroscience (17 citations) and Structural Biology (5 citations). Daria Davydova has collaborated with scholars based in Russia, Germany and Switzerland. Frequent co-authors include Stefano Romorini, Wilko D. Altrock, Eckart D. Gundelfinger, Anna Fejtová, Susanne Kneitz, Manfred Gessler, Chika Yokota, Jan M. Stenman, Julianna Kele and Mike Hupe. Their work appears in journals such as Neuron, Journal of Neuroscience, The Journal of Cell Biology, Science Signaling and Acta Naturae.
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.