Anatoly Mazurov
- Molecular Biology
- Organic Chemistry
- Pharmacology top 10%
- Computational Theory and Mathematics top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Terry A. HauserCraig H. MillerJason D. SpeakeDavid C. KomboDaniel YohannesMerouane BencherifJoseph H. ChewningPatrick M. Lippiello
- Topics
- Nicotinic Acetylcholine Receptors Study (16 papers)Receptor Mechanisms and Signaling (11 papers)Cholinesterase and Neurodegenerative Diseases (8 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsPhytochemistry
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Anatoly Mazurov
24 papers receiving 575 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 421
- Organic Chemistry 146
- Pharmacology 136
- Computational Theory and Mathematics 93
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Anatoly Mazurov
This map shows the geographic impact of Anatoly Mazurov'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 Anatoly Mazurov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anatoly Mazurov more than expected).
Fields of papers citing papers by Anatoly Mazurov
This network shows the impact of papers produced by Anatoly Mazurov. 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 Anatoly Mazurov. The network helps show where Anatoly Mazurov may publish in the future.
Co-authorship network of co-authors of Anatoly Mazurov
This figure shows the co-authorship network connecting the top 25 collaborators of Anatoly Mazurov. A scholar is included among the top collaborators of Anatoly Mazurov 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 Anatoly Mazurov. Anatoly Mazurov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 26 | |
| 6 | 34 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 99 | |
| 11 | 16 | |
| 12 | 29 | |
| 13 | 38 | |
| 14 | 16 | |
| 15 | 19 | |
| 16 | 89 | |
| 17 | 100 | |
| 18 | 21 | |
| 19 | 7 | |
| 20 | 10 |
About Anatoly Mazurov
Anatoly Mazurov is a scholar working on Pharmacology, Toxicology and Molecular Biology, having authored 24 papers that have together received 612 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (16 papers), Receptor Mechanisms and Signaling (11 papers) and Cholinesterase and Neurodegenerative Diseases (8 papers). The work is most often cited by research in Pharmacology (136 citations), Molecular Biology (421 citations) and Computational Theory and Mathematics (93 citations). Anatoly Mazurov has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Terry A. Hauser, Craig H. Miller, Jason D. Speake, David C. Kombo, Daniel Yohannes, Merouane Bencherif, Joseph H. Chewning, Patrick M. Lippiello, Rudolf Lucas and Mario B. Marrero. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Phytochemistry.
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.