Sofya Pchelina
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
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- MicroRNA in disease regulation
Papers in
- Physiology 15
- Lysosomal Storage Disorders Research 12
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- Extracellular vesicles in disease 7
- Co-authors
- Anton Emelyanov (14 shared papers)Irina Miliukhina (11 shared papers)Luiza Garaeva (5 shared papers)Tatiana Shtam (4 shared papers)Andrey L. Konevega (3 shared papers)Roman Kamyshinsky (3 shared papers)Н. А. Верлов (1 shared paper)Ekaterina Zakharova (10 shared papers)
In The Last Decade
Sofya Pchelina
27 papers receiving 412 citations
Peers
Comparison fields: 5 of 61
- Neurology 122
- Cancer Research 77
- Physiology 124
- Cell Biology 52
- Molecular Biology 207
Countries citing papers authored by Sofya Pchelina
This map shows the geographic impact of Sofya Pchelina'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 Sofya Pchelina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofya Pchelina more than expected).
Fields of papers citing papers by Sofya Pchelina
This network shows the impact of papers produced by Sofya Pchelina. 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 Sofya Pchelina. The network helps show where Sofya Pchelina may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofya Pchelina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | 2018 | 38 | |
| 3 | 2018 | 34 | |
| 4 | 2015 | 27 | |
| 5 | 2021 | 19 | |
| 6 | 2006 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2004 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 2 |
About Sofya Pchelina
Sofya Pchelina is a scholar working on Physiology, Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 29 papers that have together received 413 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (12 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Extracellular vesicles in disease (7 papers), Cellular transport and secretion (5 papers), Cardiovascular Disease and Adiposity (5 papers), Neurological diseases and metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Neurology (122 citations), Cancer Research (77 citations), Physiology (124 citations), Cell Biology (52 citations) and Molecular Biology (207 citations). Sofya Pchelina has collaborated with scholars based in Russia, Canada and France. Frequent co-authors include Anton Emelyanov, Irina Miliukhina, Luiza Garaeva, Tatiana Shtam, Andrey L. Konevega, Roman Kamyshinsky, Н. А. Верлов, Ekaterina Zakharova, Tatiana Usenko and Alena E. Kopytova. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Movement Disorders, npj Parkinson s Disease and Journal of Personalized Medicine.
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.