George Shapovalov
- Molecular Biology top 10%
- Sensory Systems top 1%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Nutrition and Dietetics top 10%
- Co-authors
- Natalia PrevarskayaRoman SkrymaHenry A. LesterV’yacheslav Lehen’kyiUrs T. RüeggDmitri GordienkoE. RouletTarik Smani
- Topics
- Ion Channels and Receptors (16 papers)Ion channel regulation and function (15 papers)Neurobiology and Insect Physiology Research (6 papers)
- Cited by
- Sensory SystemsPhysiologyToxicology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
George Shapovalov
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 704
- Sensory Systems 436
- Cellular and Molecular Neuroscience 268
- Physiology 150
- Nutrition and Dietetics 124
Countries citing papers authored by George Shapovalov
This map shows the geographic impact of George Shapovalov'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 George Shapovalov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Shapovalov more than expected).
Fields of papers citing papers by George Shapovalov
This network shows the impact of papers produced by George Shapovalov. 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 George Shapovalov. The network helps show where George Shapovalov may publish in the future.
Co-authorship network of co-authors of George Shapovalov
This figure shows the co-authorship network connecting the top 25 collaborators of George Shapovalov. A scholar is included among the top collaborators of George Shapovalov 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 George Shapovalov. George Shapovalov 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 | 3 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 34 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 119 | |
| 10 | 89 | |
| 11 | 38 | |
| 12 | 33 | |
| 13 | 59 | |
| 14 | 69 | |
| 15 | 19 | |
| 16 | 102 | |
| 17 | 57 | |
| 18 | 61 | |
| 19 | 57 | |
| 20 | 19 |
About George Shapovalov
George Shapovalov is a scholar working on Sensory Systems, Physiology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion Channels and Receptors (16 papers), Ion channel regulation and function (15 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Sensory Systems (436 citations), Physiology (73 citations) and Toxicology (55 citations). George Shapovalov has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Natalia Prevarskaya, Roman Skryma, Henry A. Lester, V’yacheslav Lehen’kyi, Urs T. Rüegg, Dmitri Gordienko, E. Roulet, Tarik Smani, Juan A. Rosado and Dennis A. Dougherty. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.