Ilya Bezprozvanny
- Molecular Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.05%
- Physiology top 0.5%
- Cell Biology top 0.2%
- Sensory Systems top 0.1%
- Co-authors
- Barbara E. EhrlichJ WatrasMark P. MattsonAnton MaximovЕлена ПопугаеваHuiping TuTie-Shan TangCharlene Supnet
- Topics
- Neuroscience and Neuropharmacology Research (87 papers)Ion channel regulation and function (59 papers)Genetic Neurodegenerative Diseases (56 papers)
- Partner nations
- United StatesRussiaBelgium
In The Last Decade
Ilya Bezprozvanny
216 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 10.7k
- Cellular and Molecular Neuroscience 8.4k
- Physiology 3.4k
- Cell Biology 2.5k
- Sensory Systems 1.5k
Countries citing papers authored by Ilya Bezprozvanny
This map shows the geographic impact of Ilya Bezprozvanny'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 Ilya Bezprozvanny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Bezprozvanny more than expected).
Fields of papers citing papers by Ilya Bezprozvanny
This network shows the impact of papers produced by Ilya Bezprozvanny. 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 Ilya Bezprozvanny. The network helps show where Ilya Bezprozvanny may publish in the future.
Co-authorship network of co-authors of Ilya Bezprozvanny
This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Bezprozvanny. A scholar is included among the top collaborators of Ilya Bezprozvanny 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 Ilya Bezprozvanny. Ilya Bezprozvanny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 18 | |
| 13 | 64 | |
| 14 | 13 | |
| 15 | 8 | |
| 16 | 23 | |
| 17 | Use of optogenetic technology in cell culture models, implantable device to works in slices and live animals | 1 |
| 18 | 65 | |
| 19 | 7 | |
| 20 | 17 |
About Ilya Bezprozvanny
Ilya Bezprozvanny is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Physiology, having authored 224 papers that have together received 16.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (87 papers), Ion channel regulation and function (59 papers) and Genetic Neurodegenerative Diseases (56 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.4k citations), Sensory Systems (1.5k citations) and Physiology (1.1k citations). Ilya Bezprozvanny has collaborated with scholars based in United States, Russia and Belgium. Frequent co-authors include Barbara E. Ehrlich, J Watras, Mark P. Mattson, Anton Maximov, Елена Попугаева, Huiping Tu, Tie-Shan Tang, Charlene Supnet, Ekaterina Pchitskaya and Richard W. Tsien. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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.