Yulia Timofeeva

843 citations
32 papers · 572 · h-index 13

Impact in

Papers in

Yulia Timofeeva

30 papers receiving 562 citations

Peers

Yulia Timofeeva
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 298
  • Cognitive Neuroscience 182
  • Statistical and Nonlinear Physics 122
  • Cell Biology 110
  • Molecular Biology 266
Replace Sten Rüdiger with:
Sten Rüdiger Germany
Remus Oşan United States
Suhita Nadkarni United States
Andrzej Bialowas France
J. M. Wagner China
F. Ramón United States
Rüdiger Thul United Kingdom
Sheila Amici-Dargan United Kingdom
Laure Fronzaroli‐Molinières France
Ramakrishnan Iyer United States
Yulia Timofeeva relative to Sten Rüdiger Germany Sten Rüdiger's profile →
Citations per field
00.5×2.9×
Sten Rüdiger · 1×
Citations per year

Countries citing papers authored by Yulia Timofeeva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yulia Timofeeva Line = papers co-authored together Yulia Timofeeva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013120
2 200363
3 200454
4 201147
5 202043
6 200738
7 201824
8 200321
9 202219
10 200419
11 201518
12 200617
13 201016
14 200811
15 20109
16 20208
17 20237
18 20067
19 20136
20 20126

About Yulia Timofeeva

Yulia Timofeeva is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Statistical and Nonlinear Physics and Cell Biology, having authored 32 papers that have together received 572 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neuroscience and Neuropharmacology Research (13 papers), stochastic dynamics and bifurcation (11 papers), Lipid Membrane Structure and Behavior (7 papers), Photoreceptor and optogenetics research (7 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 (298 citations), Cognitive Neuroscience (182 citations), Statistical and Nonlinear Physics (122 citations), Cell Biology (110 citations) and Molecular Biology (266 citations). Yulia Timofeeva has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Stephen Coombes, Kirill E. Volynski, Robert Hinch, Ivan Pavlov, Dimitri M. Kullmann, Rainer Surges, Yaroslav S. Ermolyuk, Gabriel J. Lord, Daniel Zytnicki and Nicolas Delestrée. Their work appears in journals such as Journal of Computational Neuroscience, Biological Cybernetics, Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

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.

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