Yulia Timofeeva
-
- Neuroscience and Neuropharmacology Research 10
- Photoreceptor and optogenetics research 6
- Neuroscience and Neural Engineering 4
-
- stochastic dynamics and bifurcation 11
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 12
-
- Cellular transport and secretion 5
-
- Lipid Membrane Structure and Behavior 6
-
- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Stephen CoombesKirill E. VolynskiYaroslav S. ErmolyukIvan PavlovRainer SurgesDimitri M. KullmannRobert HinchGabriel J. Lord
- Journals
- Nature Communications (2 papers)Journal of Computational Neuroscience (2 papers)Biological Cybernetics (2 papers)
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 3 | |
| 9 | 2018 | 24 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 18 | |
| 12 | 2013 | 5 | |
| 13 | 2013 | 118 | |
| 14 | 2012 | 5 | |
| 15 | 2010 | 8 | |
| 16 | 2007 | 28 | |
| 17 | 2006 | 12 | |
| 18 | 2004 | 46 | |
| 19 | 2003 | 54 | |
| 20 | 2003 | 20 |
About Yulia Timofeeva
Yulia Timofeeva is a scholar working on Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Anatomy, Cognitive Neuroscience and Complementary and Manual Therapy, 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), Photoreceptor and optogenetics research (6 papers), Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (5 papers), Nonlinear Dynamics and Pattern Formation (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, Ivan Pavlov, Rainer Surges, Dimitri M. Kullmann, Robert Hinch, Gabriel J. Lord, Caroline Iglesias and Marin Manuel. 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.