Sofia S. Kantorovich

2.8k total citations
123 papers, 2.3k citations indexed

About

Sofia S. Kantorovich is a scholar working on Biomedical Engineering, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Sofia S. Kantorovich has authored 123 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Biomedical Engineering, 66 papers in Molecular Biology and 53 papers in Condensed Matter Physics. Recurrent topics in Sofia S. Kantorovich's work include Characterization and Applications of Magnetic Nanoparticles (102 papers), Geomagnetism and Paleomagnetism Studies (62 papers) and Micro and Nano Robotics (27 papers). Sofia S. Kantorovich is often cited by papers focused on Characterization and Applications of Magnetic Nanoparticles (102 papers), Geomagnetism and Paleomagnetism Studies (62 papers) and Micro and Nano Robotics (27 papers). Sofia S. Kantorovich collaborates with scholars based in Russia, Austria and Germany. Sofia S. Kantorovich's co-authors include Alexey O. Ivanov, Christian Holm, Pedro A. Sánchez, Rudolf Weeber, Elena S. Pyanzina, Joan J. Cerdà, Marcello Sega, Francesco Sciortino, Vladimir S. Zverev and J. M. Tavares and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Nano Letters.

In The Last Decade

Sofia S. Kantorovich

120 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofia S. Kantorovich Russia 28 1.7k 800 707 592 283 123 2.3k
J. Popplewell United Kingdom 22 1.6k 0.9× 721 0.9× 468 0.7× 450 0.8× 442 1.6× 89 2.2k
István Szalai Hungary 20 830 0.5× 246 0.3× 186 0.3× 351 0.6× 188 0.7× 98 1.1k
Geir Helgesen Norway 23 659 0.4× 122 0.2× 591 0.8× 594 1.0× 430 1.5× 84 1.7k
P. I. C. Teixeira Portugal 25 780 0.5× 292 0.4× 412 0.6× 1.1k 1.8× 217 0.8× 104 2.0k
Joan J. Cerdà Spain 20 494 0.3× 227 0.3× 286 0.4× 316 0.5× 134 0.5× 48 917
Laura Rossi Italy 22 402 0.2× 129 0.2× 290 0.4× 1.0k 1.7× 230 0.8× 48 1.7k
Olga Kazakova United Kingdom 33 1.0k 0.6× 147 0.2× 324 0.5× 2.5k 4.3× 1.6k 5.8× 176 3.9k
M. Raşa Netherlands 18 474 0.3× 143 0.2× 49 0.1× 318 0.5× 164 0.6× 29 1.1k
N. A. Usov Russia 28 1.0k 0.6× 213 0.3× 547 0.8× 433 0.7× 1.7k 6.1× 145 2.8k
Rolf Pelster Germany 22 605 0.3× 81 0.1× 94 0.1× 675 1.1× 189 0.7× 58 1.4k

Countries citing papers authored by Sofia S. Kantorovich

Since Specialization
Citations

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

Fields of papers citing papers by Sofia S. Kantorovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia S. Kantorovich. 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 Sofia S. Kantorovich. The network helps show where Sofia S. Kantorovich may publish in the future.

Co-authorship network of co-authors of Sofia S. Kantorovich

This figure shows the co-authorship network connecting the top 25 collaborators of Sofia S. Kantorovich. A scholar is included among the top collaborators of Sofia S. Kantorovich 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 Sofia S. Kantorovich. Sofia S. Kantorovich 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
1.
Pyanzina, Elena S., et al.. (2025). Dynamic magnetic response of multicore particles: The role of grain magnetic anisotropy and intergrain interactions. Journal of Molecular Liquids. 421. 126842–126842. 2 indexed citations
2.
Kantorovich, Sofia S., et al.. (2024). Structure and dynamics in suspensions of magnetic platelets. Nanoscale. 16(21). 10250–10261. 1 indexed citations
3.
4.
Kantorovich, Sofia S., et al.. (2023). Controlling the coarsening dynamics of ferrogranulate networks by means of the filling fraction—Less is more susceptible. Journal of Magnetism and Magnetic Materials. 589. 171620–171620. 2 indexed citations
5.
Abert, Claas, et al.. (2023). Self-consistent solution of magnetic and friction energy losses of a magnetic nanoparticle. Physical review. B.. 107(5). 8 indexed citations
6.
Kantorovich, Sofia S., et al.. (2023). Magnetostatic response and field-controlled haloing in binary superparamagnetic mixtures. Physical review. E. 108(6). 64603–64603. 2 indexed citations
7.
Kantorovich, Sofia S., et al.. (2023). Relating the length of a magnetic filament with solvophobic, superparamagnetic colloids to its properties in applied magnetic fields. Physical review. E. 108(5). 54601–54601. 1 indexed citations
8.
Pyanzina, Elena S., et al.. (2023). Multicore-based ferrofluids in zero field: initial magnetic susceptibility and self-assembly mechanisms. Soft Matter. 19(24). 4549–4561. 7 indexed citations
9.
Zverev, Vladimir S., et al.. (2023). Stockmayer supracolloidal magnetic polymers under the influence of an applied magnetic field and a shear flow. Journal of Molecular Liquids. 384. 122229–122229. 4 indexed citations
10.
11.
Schreiber, Michael, M. Albrecht, Pedro A. Sánchez, et al.. (2019). Field-responsive colloidal assemblies defined by magnetic anisotropy. Physical review. E. 100(1). 12608–12608. 12 indexed citations
12.
Pyanzina, Elena S., et al.. (2018). Compressibility of ferrofluids: Towards a better understanding of structural properties. The European Physical Journal E. 41(5). 67–67. 3 indexed citations
13.
Linse, Per, et al.. (2017). How cube-like must magnetic nanoparticles be to modify their self-assembly?. Nanoscale. 9(19). 6448–6462. 33 indexed citations
14.
Ivanov, Alexey O., et al.. (2016). The influence of interparticle correlations and self-assembly on the dynamic initial magnetic susceptibility spectra of ferrofluids. Journal of Magnetism and Magnetic Materials. 431. 141–144. 18 indexed citations
15.
Camp, Philip J., et al.. (2016). Influence of dipolar interactions on the magnetic susceptibility spectra of ferrofluids. Physical review. E. 93(6). 63117–63117. 53 indexed citations
16.
Sánchez, Pedro A., et al.. (2015). Supramolecular Magnetic Brushes: The Impact of Dipolar Interactions on the Equilibrium Structure. Macromolecules. 48(20). 7658–7669. 19 indexed citations
17.
Pyanzina, Elena S., et al.. (2015). Behaviour of magnetic Janus-like colloids. Journal of Physics Condensed Matter. 27(23). 234102–234102. 21 indexed citations
18.
Kantorovich, Sofia S., et al.. (2009). Ground state structures in ferrofluid monolayers. Physical Review E. 80(3). 31404–31404. 57 indexed citations
19.
Cerdà, Joan J., Sofia S. Kantorovich, & Christian Holm. (2008). Aggregate formation in ferrofluid monolayers: simulations and theory. Journal of Physics Condensed Matter. 20(20). 204125–204125. 39 indexed citations
20.
Ivanov, Alexey O., Sofia S. Kantorovich, Christian Holm, et al.. (2007). Magnetic properties of polydisperse ferrofluids: A critical comparison between experiment, theory, and computer simulation. Physical Review E. 75(6). 61405–61405. 132 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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