Yulia Sidorova
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 10%
- Physiology
- Developmental Neuroscience top 5%
- Co-authors
- Märt SaarmaArun Kumar MahatoMaxim M. BespalovMati KarelsonHeikki RauvalaLarisa IvanovaJaana Tammiku‐TaulMikhail Paveliev
- Topics
- Nerve injury and regeneration (22 papers)Neurogenesis and neuroplasticity mechanisms (7 papers)Parkinson's Disease Mechanisms and Treatments (6 papers)
In The Last Decade
Yulia Sidorova
45 papers receiving 985 citations
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 493
- Molecular Biology 379
- Neurology 165
- Physiology 159
- Developmental Neuroscience 153
Countries citing papers authored by Yulia Sidorova
This map shows the geographic impact of Yulia Sidorova'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 Yulia Sidorova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Sidorova more than expected).
Fields of papers citing papers by Yulia Sidorova
This network shows the impact of papers produced by Yulia Sidorova. 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 Yulia Sidorova. The network helps show where Yulia Sidorova may publish in the future.
Co-authorship network of co-authors of Yulia Sidorova
This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Sidorova. A scholar is included among the top collaborators of Yulia Sidorova 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 Yulia Sidorova. Yulia Sidorova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 28 | |
| 7 | 22 | |
| 8 | 46 | |
| 9 | 36 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | Retinal neuroprotection using small molecule GDNF mimetics | 1 |
| 13 | Small Molecular Weight ARTN Mimetic for the Treatment of Neuropathic Pain | 2 |
| 14 | 27 | |
| 15 | GDNF receptors as a drug target for neural repair | 1 |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 6 |
About Yulia Sidorova
Yulia Sidorova is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Pharmacology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (22 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Cellular and Molecular Neuroscience (493 citations) and Neurology (165 citations). Yulia Sidorova has collaborated with scholars based in Finland, Russia and Estonia. Frequent co-authors include Märt Saarma, Arun Kumar Mahato, Maxim M. Bespalov, Mati Karelson, Heikki Rauvala, Larisa Ivanova, Jaana Tammiku‐Taul, Mikhail Paveliev, Andrii Domanskyi and A. Yu. Grishanova. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.
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.