Maxim Sokolov
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 10%
- Genetics top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Vadim Y. ArshavskyKatherine J. StrisselEdward N. PughAndrey B. SavchenkoArkady LyubarskyL. L. VoroninAlexander M. KleschevnikovVladimir P. Skulachev
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Photoreceptor and optogenetics research (10 papers)Neural dynamics and brain function (6 papers)
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
Maxim Sokolov
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 617
- Cell Biology 178
- Genetics 178
- Cognitive Neuroscience 175
Countries citing papers authored by Maxim Sokolov
This map shows the geographic impact of Maxim Sokolov'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 Maxim Sokolov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Sokolov more than expected).
Fields of papers citing papers by Maxim Sokolov
This network shows the impact of papers produced by Maxim Sokolov. 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 Maxim Sokolov. The network helps show where Maxim Sokolov may publish in the future.
Co-authorship network of co-authors of Maxim Sokolov
This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Sokolov. A scholar is included among the top collaborators of Maxim Sokolov 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 Maxim Sokolov. Maxim Sokolov 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 | 4 | |
| 3 | 9 | |
| 4 | 42 | |
| 5 | 69 | |
| 6 | 28 | |
| 7 | 15 | |
| 8 | 302 | |
| 9 | 26 | |
| 10 | Activation of a type5-like mGLUR induces a protein-synthesis independent late LTD in the adult rat | 1 |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 32 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 57 | |
| 19 | 38 | |
| 20 | 26 |
About Maxim Sokolov
Maxim Sokolov is a scholar working on Cellular and Molecular Neuroscience, Pharmaceutical Science and Discrete Mathematics and Combinatorics, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (617 citations), Molecular Biology (1.0k citations) and Sensory Systems (63 citations). Maxim Sokolov has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Vadim Y. Arshavsky, Katherine J. Strissel, Edward N. Pugh, Andrey B. Savchenko, Arkady Lyubarsky, L. L. Voronin, Alexander M. Kleschevnikov, Vladimir P. Skulachev, Pavel Dibrov and Basil S. Pawlyk. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Neuron.
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.