Yulia Timofeeva
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
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- stochastic dynamics and bifurcation
Papers in
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- Neuroscience and Neuropharmacology Research 10
- Photoreceptor and optogenetics research 6
- Neuroscience and Neural Engineering 4
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- Lipid Membrane Structure and Behavior 6
- Co-authors
- Stephen Coombes (9 shared papers)Kirill E. Volynski (9 shared papers)Yaroslav S. Ermolyuk (1 shared paper)Dimitri M. Kullmann (1 shared paper)Ivan Pavlov (1 shared paper)Rainer Surges (1 shared paper)Robert Hinch (1 shared paper)Gabriel J. Lord (3 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Computational Neuroscience (2 papers)Biological Cybernetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Yulia Timofeeva
28 papers receiving 506 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 272
- Statistical and Nonlinear Physics 107
- Cognitive Neuroscience 155
- Cell Biology 108
- Molecular Biology 254
Countries citing papers authored by Yulia Timofeeva
This map shows the geographic impact of Yulia Timofeeva'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 Yulia Timofeeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Timofeeva more than expected).
Fields of papers citing papers by Yulia Timofeeva
This network shows the impact of papers produced by Yulia Timofeeva. 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 Yulia Timofeeva. The network helps show where Yulia Timofeeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Yulia Timofeeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2003 | 54 | |
| 3 | 2004 | 46 | |
| 4 | 2011 | 46 | |
| 5 | 2020 | 39 | |
| 6 | 2007 | 28 | |
| 7 | 2018 | 24 | |
| 8 | 2003 | 20 | |
| 9 | 2015 | 18 | |
| 10 | 2004 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2006 | 12 | |
| 13 | 2008 | 11 | |
| 14 | 2010 | 10 | |
| 15 | 2010 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2006 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2012 | 5 |
About Yulia Timofeeva
Yulia Timofeeva is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Statistical and Nonlinear Physics, Cognitive Neuroscience and Cell Biology, having authored 28 papers that have together received 516 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), stochastic dynamics and bifurcation (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Lipid Membrane Structure and Behavior (6 papers), Photoreceptor and optogenetics research (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Cellular transport and secretion (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (272 citations), Statistical and Nonlinear Physics (107 citations), Cognitive Neuroscience (155 citations), Cell Biology (108 citations) and Molecular Biology (254 citations). Yulia Timofeeva has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stephen Coombes, Kirill E. Volynski, Yaroslav S. Ermolyuk, Dimitri M. Kullmann, Ivan Pavlov, Rainer Surges, Robert Hinch, Gabriel J. Lord, Claude Meunier and Nicolas Delestrée. Their work appears in journals such as Nature Communications, Journal of Computational Neuroscience, Biological Cybernetics, Proceedings of the National Academy of Sciences and Progress in Biophysics and Molecular 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.