Pavel Y. Savechenkov
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Spectroscopy top 10%
- Organic Chemistry
- Materials Chemistry
- Co-authors
- Karol S. BruzikJonathan B. CohenDavid C. ChiaraKeith W. MillerXiaojuan ZhouSelwyn S. JayakarXi ZhangPavel Anzenbacher
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Receptor Mechanisms and Signaling (9 papers)Nicotinic Acetylcholine Receptors Study (8 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryThe Journal of Physiology
- Partner nations
- United StatesRussiaBulgaria
In The Last Decade
Pavel Y. Savechenkov
24 papers receiving 578 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 340
- Cellular and Molecular Neuroscience 309
- Spectroscopy 140
- Organic Chemistry 134
- Materials Chemistry 117
Countries citing papers authored by Pavel Y. Savechenkov
This map shows the geographic impact of Pavel Y. Savechenkov'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 Pavel Y. Savechenkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Y. Savechenkov more than expected).
Fields of papers citing papers by Pavel Y. Savechenkov
This network shows the impact of papers produced by Pavel Y. Savechenkov. 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 Pavel Y. Savechenkov. The network helps show where Pavel Y. Savechenkov may publish in the future.
Co-authorship network of co-authors of Pavel Y. Savechenkov
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Y. Savechenkov. A scholar is included among the top collaborators of Pavel Y. Savechenkov 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 Pavel Y. Savechenkov. Pavel Y. Savechenkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 21 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 29 | |
| 8 | 10 | |
| 9 | 99 | |
| 10 | 19 | |
| 11 | 53 | |
| 12 | 119 | |
| 13 | 1 | |
| 14 | 46 | |
| 15 | 35 | |
| 16 | 22 | |
| 17 | 7 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 9 |
About Pavel Y. Savechenkov
Pavel Y. Savechenkov is a scholar working on Cellular and Molecular Neuroscience, Pharmaceutical Science and Spectroscopy, having authored 24 papers that have together received 587 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (9 papers) and Nicotinic Acetylcholine Receptors Study (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (309 citations), Spectroscopy (140 citations) and Developmental Neuroscience (27 citations). Pavel Y. Savechenkov has collaborated with scholars based in United States, Russia and Bulgaria. Frequent co-authors include Karol S. Bruzik, Jonathan B. Cohen, David C. Chiara, Keith W. Miller, Xiaojuan Zhou, Selwyn S. Jayakar, Xi Zhang, Pavel Anzenbacher, Petr Koutnı́k and Tsuyoshi Minami. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Physiology.
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.