Bazbek Davletov
- Cell Biology top 0.1%
- Cellular transport and secretion 59
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 12
- Physiology top 0.5%
- Neurology top 0.5%
- Botulinum Toxin and Related Neurological Disorders 27
- Neurological disorders and treatments 16
- Parkinson's Disease Mechanisms and Treatments 8
- Molecular Biology top 1%
- Lipid Membrane Structure and Behavior 33
- Biochemical and Structural Characterization 14
- Ion channel regulation and function 10
- Co-authors
- Thomas C. SüdhofFrédéric DariosColin RickmanR. Bryan SuttonYuri A. UshkaryovThomas BinzStephen R. SprangAlbert M. Berghuis
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Bazbek Davletov
100 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cell Biology 3.4k
- Cellular and Molecular Neuroscience 2.1k
- Physiology 401
- Neurology 1.3k
- Molecular Biology 4.8k
Countries citing papers authored by Bazbek Davletov
This map shows the geographic impact of Bazbek Davletov'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 Bazbek Davletov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bazbek Davletov more than expected).
Fields of papers citing papers by Bazbek Davletov
This network shows the impact of papers produced by Bazbek Davletov. 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 Bazbek Davletov. The network helps show where Bazbek Davletov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bazbek Davletov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2018 | 10 | |
| 7 | 2018 | 6 | |
| 8 | 2017 | 26 | |
| 9 | 2017 | 12 | |
| 10 | NON-PARALYTIC BOTULINUM MOLECULES FOR THE CONTROL OF MIGRAINE | 2016 | 2 |
| 11 | Non-paralytic botulinum chimeras increase the activation threshold of the trigeminovascular system in migraine models | 2015 | 3 |
| 12 | 2012 | 10 | |
| 13 | 2012 | 123 | |
| 14 | 2008 | 15 | |
| 15 | 2007 | 32 | |
| 16 | 2007 | 20 | |
| 17 | 2004 | 104 | |
| 18 | 2003 | 78 | |
| 19 | 2000 | 42 | |
| 20 | 1996 | 129 |
About Bazbek Davletov
Bazbek Davletov is a scholar working on Cell Biology, Neurology and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 7.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (59 papers), Lipid Membrane Structure and Behavior (33 papers), Botulinum Toxin and Related Neurological Disorders (27 papers), Neurological disorders and treatments (16 papers), Biochemical and Structural Characterization (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (10 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Cell Biology (3.4k citations), Cellular and Molecular Neuroscience (2.1k citations) and Physiology (401 citations). Bazbek Davletov has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Thomas C. Südhof, Frédéric Darios, Colin Rickman, R. Bryan Sutton, Yuri A. Ushkaryov, Thomas Binz, Stephen R. Sprang, Albert M. Berghuis, Kevin M. Brindle and Thomas C. Südhof. Their work appears in journals such as Nature, Science and Cell.
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.