Anton Arkhipov

8.3k total citations · 1 hit paper
44 papers, 3.7k citations indexed

About

Anton Arkhipov is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anton Arkhipov has authored 44 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cognitive Neuroscience and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anton Arkhipov's work include Neural dynamics and brain function (17 papers), Lipid Membrane Structure and Behavior (9 papers) and Protein Structure and Dynamics (8 papers). Anton Arkhipov is often cited by papers focused on Neural dynamics and brain function (17 papers), Lipid Membrane Structure and Behavior (9 papers) and Protein Structure and Dynamics (8 papers). Anton Arkhipov collaborates with scholars based in United States, Japan and Switzerland. Anton Arkhipov's co-authors include Klaus Schulten, Peter L. Freddolino, Yibing Shan, David E. Shaw, John Kuriyan, Amy Y. Shih, Eric T. Kim, Klaus Schulten, David E. Wemmer and Nicholas Endres and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Anton Arkhipov

41 papers receiving 3.6k citations

Hit Papers

Oncogenic Mutations Counteract Intrinsic Disorder in the ... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anton Arkhipov United States 26 2.4k 497 497 445 435 44 3.7k
Miriam Eisenstein Israel 43 4.7k 2.0× 643 1.3× 773 1.6× 895 2.0× 231 0.5× 155 7.4k
Yasushi Sako Japan 39 4.2k 1.7× 422 0.8× 1.2k 2.4× 286 0.6× 667 1.5× 134 6.0k
Aaron Klug United Kingdom 39 6.8k 2.8× 377 0.8× 314 0.6× 629 1.4× 227 0.5× 62 9.6k
Grégoire Altan‐Bonnet United States 36 3.3k 1.4× 1.0k 2.1× 265 0.5× 192 0.4× 325 0.7× 76 6.8k
Yoshihiro Shimizu Japan 32 3.9k 1.6× 309 0.6× 179 0.4× 220 0.5× 47 0.1× 162 5.5k
Paul W. Wiseman Canada 41 2.8k 1.2× 118 0.2× 1.3k 2.6× 283 0.6× 586 1.3× 141 5.8k
Bogdan Budnik United States 41 4.0k 1.6× 214 0.4× 347 0.7× 162 0.4× 159 0.4× 96 6.1k
Michelle A. Baird United States 29 2.8k 1.1× 145 0.3× 1.5k 3.0× 217 0.5× 361 0.8× 51 5.3k
Nathalie Reuter Norway 34 2.1k 0.9× 297 0.6× 239 0.5× 558 1.3× 409 0.9× 94 3.3k
Steven F. Lee United Kingdom 32 1.4k 0.6× 126 0.3× 191 0.4× 467 1.0× 254 0.6× 88 3.4k

Countries citing papers authored by Anton Arkhipov

Since Specialization
Citations

This map shows the geographic impact of Anton Arkhipov'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 Anton Arkhipov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Arkhipov more than expected).

Fields of papers citing papers by Anton Arkhipov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton Arkhipov. 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 Anton Arkhipov. The network helps show where Anton Arkhipov may publish in the future.

Co-authorship network of co-authors of Anton Arkhipov

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Arkhipov. A scholar is included among the top collaborators of Anton Arkhipov 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 Anton Arkhipov. Anton Arkhipov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ito, Shinya, Alex T. Piet, Corbett Bennett, et al.. (2024). Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics. Cell Reports. 43(9). 114763–114763. 2 indexed citations
3.
Durá-Bernal, Salvador, Carmen Alina Lupaşcu, Daniela Gandolfi, et al.. (2024). Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons. Journal of Neuroscience. 44(40). e1236242024–e1236242024. 3 indexed citations
4.
Piet, Alex T., Douglas R. Ollerenshaw, Marina Garrett, et al.. (2024). Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex. Neuron. 112(11). 1876–1890.e4. 6 indexed citations
5.
Marshall, William, Yazan N. Billeh, Corbett Bennett, et al.. (2023). A survey of neurophysiological differentiation across mouse visual brain areas and timescales. Frontiers in Computational Neuroscience. 17. 1040629–1040629. 1 indexed citations
6.
Gala, Rohan, Agata Budzillo, Fahimeh Baftizadeh, et al.. (2021). Consistent cross-modal identification of cortical neurons with coupled autoencoders. Nature Computational Science. 1(2). 120–127. 23 indexed citations
7.
Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2020). The SONATA data format for efficient description of large-scale network models. PLoS Computational Biology. 16(2). e1007696–e1007696. 29 indexed citations
8.
Dai, Kael, Sergey L. Gratiy, Yazan N. Billeh, et al.. (2020). Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Computational Biology. 16(11). e1008386–e1008386. 31 indexed citations
9.
Billeh, Yazan N., Binghuang Cai, Sergey L. Gratiy, et al.. (2020). Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron. 106(3). 388–403.e18. 144 indexed citations
10.
Gratiy, Sergey L., Yazan N. Billeh, Kael Dai, et al.. (2018). BioNet: A Python interface to NEURON for modeling large-scale networks. PLoS ONE. 13(8). e0201630–e0201630. 34 indexed citations
11.
Arkhipov, Anton, Yibing Shan, Rahul Das, et al.. (2013). Architecture and Membrane Interactions of the EGF Receptor. Cell. 152(3). 557–569. 388 indexed citations
12.
Shan, Yibing, Michael P. Eastwood, Xuewu Zhang, et al.. (2012). Oncogenic Mutations Counteract Intrinsic Disorder in the EGFR Kinase and Promote Receptor Dimerization. Cell. 149(4). 860–870. 276 indexed citations breakdown →
13.
Arkhipov, Anton, Ying Yin, & Klaus Schulten. (2009). Membrane-Bending Mechanism of Amphiphysin N-BAR Domains. Biophysical Journal. 97(10). 2727–2735. 83 indexed citations
14.
Yin, Ying, Anton Arkhipov, & Klaus Schulten. (2009). Simulations of Membrane Tubulation by Lattices of Amphiphysin N-BAR Domains. Structure. 17(6). 882–892. 109 indexed citations
15.
Arkhipov, Anton, Ying Yin, & Klaus Schulten. (2008). Four-Scale Description of Membrane Sculpting by BAR Domains. Biophysical Journal. 95(6). 2806–2821. 198 indexed citations
16.
Arkhipov, Anton, Jana Hüve, Martin Kahms, Reiner Peters, & Klaus Schulten. (2007). Continuous Fluorescence Microphotolysis and Correlation Spectroscopy Using 4Pi Microscopy. Biophysical Journal. 93(11). 4006–4017. 11 indexed citations
17.
Shih, Amy Y., Peter L. Freddolino, Anton Arkhipov, & Klaus Schulten. (2006). Assembly of lipoprotein particles revealed by coarse-grained molecular dynamics simulations. Journal of Structural Biology. 157(3). 579–592. 98 indexed citations
18.
Freddolino, Peter L., Anton Arkhipov, Steven B. Larson, Alexander McPherson, & Klaus Schulten. (2006). Molecular Dynamics Simulations of the Complete Satellite Tobacco Mosaic Virus. Structure. 14(3). 437–449. 289 indexed citations
19.
Arkhipov, Anton, Peter L. Freddolino, Katsumi Imada, Keiichi Namba, & Klaus Schulten. (2006). Coarse-Grained Molecular Dynamics Simulations of a Rotating Bacterial Flagellum. Biophysical Journal. 91(12). 4589–4597. 79 indexed citations
20.
Lu, Deyu, Aleksei Aksimentiev, Amy Y. Shih, et al.. (2006). The role of molecular modeling in bionanotechnology. Physical Biology. 3(1). S40–S53. 58 indexed citations

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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