T. P. Serkova
- Molecular Biology
- Physiology
- Pharmacology top 10%
- Cellular and Molecular Neuroscience
- Organic Chemistry
- Co-authors
- С. О. БачуринE. F. ShevtsovaE. G. KireevaNikolay LukoyanovМаргарита Е. НегановаAndrey Y. AbramovPlamena R. AngelovaAlexey A. Nazarov
- Topics
- Neuroscience and Neuropharmacology Research (8 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)Medicinal Plants and Neuroprotection (3 papers)
- Journals
- International Journal of Molecular SciencesAnnals of the New York Academy of SciencesDalton Transactions
- Partner nations
- RussiaUnited StatesSwitzerland
In The Last Decade
T. P. Serkova
21 papers receiving 364 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 142
- Physiology 117
- Pharmacology 113
- Cellular and Molecular Neuroscience 84
- Organic Chemistry 81
Countries citing papers authored by T. P. Serkova
This map shows the geographic impact of T. P. Serkova'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 T. P. Serkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. P. Serkova more than expected).
Fields of papers citing papers by T. P. Serkova
This network shows the impact of papers produced by T. P. Serkova. 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 T. P. Serkova. The network helps show where T. P. Serkova may publish in the future.
Co-authorship network of co-authors of T. P. Serkova
This figure shows the co-authorship network connecting the top 25 collaborators of T. P. Serkova. A scholar is included among the top collaborators of T. P. Serkova 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 T. P. Serkova. T. P. Serkova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 57 | |
| 4 | 28 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 48 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 77 | |
| 17 | 8 | |
| 18 | 57 | |
| 19 | 44 | |
| 20 | 1 |
About T. P. Serkova
T. P. Serkova is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Complementary and alternative medicine, having authored 21 papers that have together received 384 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Pharmacology (113 citations) and Behavioral Neuroscience (19 citations). T. P. Serkova has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include С. О. Бачурин, E. F. Shevtsova, E. G. Kireeva, Nikolay Lukoyanov, Маргарита Е. Неганова, Andrey Y. Abramov, Plamena R. Angelova, Alexey A. Nazarov, Paul J. Dyson and С. О. Бачурин. Their work appears in journals such as International Journal of Molecular Sciences, Annals of the New York Academy of Sciences and Dalton Transactions.
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.