Igor Sokolov

7.7k total citations · 1 hit paper
161 papers, 5.7k citations indexed

About

Igor Sokolov is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Igor Sokolov has authored 161 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Atomic and Molecular Physics, and Optics, 48 papers in Biomedical Engineering and 47 papers in Materials Chemistry. Recurrent topics in Igor Sokolov's work include Force Microscopy Techniques and Applications (65 papers), Cellular Mechanics and Interactions (27 papers) and Mesoporous Materials and Catalysis (27 papers). Igor Sokolov is often cited by papers focused on Force Microscopy Techniques and Applications (65 papers), Cellular Mechanics and Interactions (27 papers) and Mesoporous Materials and Catalysis (27 papers). Igor Sokolov collaborates with scholars based in United States, Canada and Russia. Igor Sokolov's co-authors include Maxim Dokukin, Neil Coombs, Hong Yang, Craig D. Woodworth, Nataliia Guz, Geoffrey A. Ozin, Ravi Gaikwad, Swaminathan P. Iyer, Dmytro O. Volkov and V. Kalaparthi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Igor Sokolov

158 papers receiving 5.5k citations

Hit Papers

Quantitative Mapping of the Elastic Modulus of Soft Mater... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Sokolov United States 39 2.2k 1.9k 1.4k 1.0k 819 161 5.7k
Hauke Clausen‐Schaumann Germany 33 849 0.4× 2.7k 1.4× 1.2k 0.9× 641 0.6× 1.9k 2.4× 99 6.0k
D. A. Smith United States 47 3.5k 1.6× 1.9k 1.0× 1.6k 1.1× 294 0.3× 1.4k 1.7× 219 7.8k
Sigrid Bernstorff Italy 37 2.5k 1.1× 873 0.5× 1.4k 1.0× 239 0.2× 811 1.0× 329 6.2k
Theyencheri Narayanan France 55 3.2k 1.5× 1.4k 0.7× 1.7k 1.2× 235 0.2× 2.2k 2.6× 243 9.1k
Joachim Dzubiella Germany 44 2.9k 1.4× 1.5k 0.8× 2.1k 1.5× 160 0.2× 1.7k 2.1× 174 8.1k
Tilman E. Schäffer Germany 42 652 0.3× 2.8k 1.4× 1.8k 1.3× 857 0.8× 1.1k 1.3× 118 6.4k
Jasper van der Gucht Netherlands 42 1.7k 0.8× 512 0.3× 1.1k 0.8× 524 0.5× 838 1.0× 162 6.0k
Eric M. Furst United States 42 3.5k 1.6× 890 0.5× 2.3k 1.7× 372 0.4× 982 1.2× 143 7.2k
P. Milani Italy 40 2.8k 1.3× 1.1k 0.6× 1.4k 1.1× 135 0.1× 361 0.4× 179 5.9k
Ellen Wachtel Israel 53 3.1k 1.4× 553 0.3× 1.1k 0.8× 272 0.3× 2.1k 2.6× 260 8.4k

Countries citing papers authored by Igor Sokolov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Sokolov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Sokolov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Sokolov. A scholar is included among the top collaborators of Igor Sokolov 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 Igor Sokolov. Igor Sokolov 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.
Prasad, Rajendra, Narendra M. Gupta, Avtar S. Meena, et al.. (2025). Long-Term Cell-Membrane-Coated Ultrabright Nanospheres for Targeted Cancer Cell Imaging and Hydrophobic Drug Delivery. Chemistry of Materials. 37(3). 845–856. 3 indexed citations
2.
Kumar, Nishant, et al.. (2025). Single ultrabright fluorescent silica nanoparticles can be used as individual fast real-time nanothermometers. Materials Horizons. 12(13). 4759–4770.
3.
Sokolov, Igor. (2024). Ultrabright fluorescent particles via physical encapsulation of fluorescent dyes in mesoporous silica: a mini-review. Nanoscale. 16(23). 10994–11004. 6 indexed citations
4.
Петров, М. П., et al.. (2024). Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning. Cells. 14(1). 14–14. 2 indexed citations
7.
Kalaparthi, V., et al.. (2022). Correlation of cell mechanics with the resistance to malignant transformation in naked mole rat fibroblasts. Nanoscale. 14(39). 14594–14602. 2 indexed citations
8.
Ablain, Julien, Harriet Rothschild, Song Yang, et al.. (2022). Loss of NECTIN1 triggers melanoma dissemination upon local IGF1 depletion. Nature Genetics. 54(12). 1839–1852. 10 indexed citations
9.
Kalaparthi, V., et al.. (2021). Ultrabright fluorescent nanothermometers. Nanoscale Advances. 3(17). 5090–5101. 16 indexed citations
10.
Kalaparthi, V., Andrew Wang, Chris Williams, et al.. (2020). Difference in biophysical properties of cancer-initiating cells in melanoma mutated zebrafish. Journal of the mechanical behavior of biomedical materials. 107. 103746–103746. 6 indexed citations
11.
Qin, Xiaodan, Fabrice Laroche, Shajesh Palantavida, et al.. (2019). Ultrabright fluorescent silica nanoparticles for in vivo targeting of xenografted human tumors and cancer cells in zebrafish. Nanoscale. 11(46). 22316–22327. 21 indexed citations
12.
Dokukin, Maxim & Igor Sokolov. (2017). Nanoscale compositional mapping of cells, tissues, and polymers with ringing mode of atomic force microscopy. Scientific Reports. 7(1). 11828–11828. 36 indexed citations
13.
Guz, Nataliia, et al.. (2015). Towards early detection of cervical cancer: Fractal dimension of AFM images of human cervical epithelial cells at different stages of progression to cancer. Nanomedicine Nanotechnology Biology and Medicine. 11(7). 1667–1675. 36 indexed citations
14.
Sokolov, Igor & Craig D. Woodworth. (2005). Loss of Elasticity of Ageing Epithelial Cells, and Its Possible Reversal. TechConnect Briefs. 1(2005). 63–66. 1 indexed citations
15.
Berdyyeva, Tamara, Craig D. Woodworth, & Igor Sokolov. (2004). Human Epithelial Cells Increase Their Rigidity with Ageing In-vitro: Direct Measurements. APS. 2004. 1 indexed citations
16.
Bordag, M., V. M. Mostepanenko, & Igor Sokolov. (1995). A Casimir-Type Null Experiment for Obtaining Stronger Restrictions on Constants of Long-Range Interactions. Gravitation and Cosmology. 1. 25–30. 1 indexed citations
17.
Blagov, E. V., G. L. Klimchitskaya, V. M. Mostepanenko, V. I. Panov, & Igor Sokolov. (1993). Diagnostics of radiation-induced point defects by atomic force microscopy. Technical Physics Letters. 19(4). 254–256. 2 indexed citations
18.
Mostepanenko, V. M., et al.. (1989). Limitation on the parameters of Yukawa long-range interaction from atomic-force microscopy. Soviet physics. Doklady. 34. 147. 1 indexed citations
19.
Mostepanenko, V. M. & Igor Sokolov. (1988). Casimir forces between complex-shaped bodies. SPhD. 33. 140. 1 indexed citations
20.
Mostepanenko, V. M. & Igor Sokolov. (1987). Restrictions on long-range forces following from the Casimir effect. Sov. J. Nucl. Phys. (Engl. Transl.); (United States). 2 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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