Т. В. Соколова
- Molecular Biology
- Physiology
- Neurology top 10%
- Cellular and Molecular Neuroscience
- Nutrition and Dietetics top 10%
- Co-authors
- И. О. ЗахароваН. Ф. АвроваElena A. BelyaevaLarisa EmelyanovaVladimir A. TyurinYulia Y. TyurinaVladimir B. RitovSteven H. Graham
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Glycosylation and Glycoproteins Research (9 papers)ATP Synthase and ATPases Research (8 papers)
- Cited by
- NeurologyDevelopmental Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesJournal of Neurochemistry
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Т. В. Соколова
72 papers receiving 846 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 370
- Physiology 162
- Neurology 142
- Cellular and Molecular Neuroscience 119
- Nutrition and Dietetics 106
Countries citing papers authored by Т. В. Соколова
This map shows the geographic impact of Т. В. Соколова'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 Т. В. Соколова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Т. В. Соколова more than expected).
Fields of papers citing papers by Т. В. Соколова
This network shows the impact of papers produced by Т. В. Соколова. 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 Т. В. Соколова. The network helps show where Т. В. Соколова may publish in the future.
Co-authorship network of co-authors of Т. В. Соколова
This figure shows the co-authorship network connecting the top 25 collaborators of Т. В. Соколова. A scholar is included among the top collaborators of Т. В. Соколова 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 Т. В. Соколова. Т. В. Соколова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 33 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 7 | |
| 13 | Липофильные дрожжи Malassezia spp. - триггерный фактор атопического дерматита | 0 |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 26 | |
| 17 | 9 | |
| 18 | 219 | |
| 19 | 24 | |
| 20 | 67 |
About Т. В. Соколова
Т. В. Соколова is a scholar working on Biological Psychiatry, Biochemistry and Behavioral Neuroscience, having authored 86 papers that have together received 878 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Glycosylation and Glycoproteins Research (9 papers) and ATP Synthase and ATPases Research (8 papers). The work is most often cited by research in Neurology (81 citations), Neurology (142 citations) and Developmental Neuroscience (31 citations). Т. В. Соколова has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include И. О. Захарова, Н. Ф. Аврова, Elena A. Belyaeva, Larisa Emelyanova, Vladimir A. Tyurin, Yulia Y. Tyurina, Vladimir B. Ritov, Steven H. Graham, Valerian E. Kagan and Peter Quinn. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Neurochemistry.
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.