В. И. Скворцова
- Molecular Biology
- Neurology top 10%
- Neurology top 10%
- Genetics top 10%
- Epidemiology
- Co-authors
- Eugene GusevLimborskaia SaN. А. ShamalovP. A. SlominskyС. О. БачуринVladimir L. BuchmanA. A. UstyugovNatalia Ninkina
- Topics
- Neurological Disorders and Treatments (13 papers)Neurological Disease Mechanisms and Treatments (8 papers)Amyotrophic Lateral Sclerosis Research (7 papers)
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
В. И. Скворцова
35 papers receiving 353 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 168
- Neurology 144
- Neurology 98
- Genetics 91
- Epidemiology 61
Countries citing papers authored by В. И. Скворцова
This map shows the geographic impact of В. И. Скворцова'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 В. И. Скворцова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites В. И. Скворцова more than expected).
Fields of papers citing papers by В. И. Скворцова
This network shows the impact of papers produced by В. И. Скворцова. 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 В. И. Скворцова. The network helps show where В. И. Скворцова may publish in the future.
Co-authorship network of co-authors of В. И. Скворцова
This figure shows the co-authorship network connecting the top 25 collaborators of В. И. Скворцова. A scholar is included among the top collaborators of В. И. Скворцова 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 В. И. Скворцова. В. И. Скворцова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 14 | |
| 3 | 91 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | Connection between p53 gene Bam HI RFLP polymorphism with the volume of brain infarction in patients with carotid atherothrombotic ischemic stroke. | 1 |
| 14 | 11 | |
| 15 | 22 | |
| 16 | 0 | |
| 17 | 23 | |
| 18 | 16 | |
| 19 | [Neuroprotective effects of glycine in the acute period of ischemic stroke]. | 4 |
| 20 | [Study of the efficacy of semax in global cerebral ischemia in vivo]. | 4 |
About В. И. Скворцова
В. И. Скворцова is a scholar working on Neurology, Developmental Neuroscience and Neurology, having authored 36 papers that have together received 369 indexed citations. Recurring topics across this work include Neurological Disorders and Treatments (13 papers), Neurological Disease Mechanisms and Treatments (8 papers) and Amyotrophic Lateral Sclerosis Research (7 papers). The work is most often cited by research in Neurology (98 citations), Neurology (144 citations) and Genetics (91 citations). В. И. Скворцова has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Eugene Gusev, Limborskaia Sa, N. А. Shamalov, P. A. Slominsky, С. О. Бачурин, Vladimir L. Buchman, A. A. Ustyugov, Natalia Ninkina, Tatyana A. Shelkovnikova and Galina Е. Ivanova. Their work appears in journals such as Journal of Biological Chemistry, Neurobiology of Disease and Journal of the Neurological Sciences.
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.