Stefano Sacanna

9.1k total citations · 4 hit papers
74 papers, 7.1k citations indexed

About

Stefano Sacanna is a scholar working on Materials Chemistry, Organic Chemistry and Condensed Matter Physics. According to data from OpenAlex, Stefano Sacanna has authored 74 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Materials Chemistry, 22 papers in Organic Chemistry and 21 papers in Condensed Matter Physics. Recurrent topics in Stefano Sacanna's work include Pickering emulsions and particle stabilization (46 papers), Surfactants and Colloidal Systems (22 papers) and Micro and Nano Robotics (21 papers). Stefano Sacanna is often cited by papers focused on Pickering emulsions and particle stabilization (46 papers), Surfactants and Colloidal Systems (22 papers) and Micro and Nano Robotics (21 papers). Stefano Sacanna collaborates with scholars based in United States, Netherlands and South Korea. Stefano Sacanna's co-authors include David J. Pine, P. M. Chaikin, Jérémie Palacci, Gi‐Ra Yi, Albert P. Philipse, William T. M. Irvine, Asher Preska Steinberg, Laura Rossi, Theodore Hueckel and Zhe Gong and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stefano Sacanna

73 papers receiving 7.1k citations

Hit Papers

Living Crystals of Light-... 2010 2026 2015 2020 2013 2010 2020 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Sacanna United States 39 4.2k 2.8k 2.2k 1.4k 962 74 7.1k
Erik Luijten United States 41 3.8k 0.9× 2.4k 0.9× 1.8k 0.9× 1.5k 1.0× 494 0.5× 122 7.5k
Emanuela Zaccarelli Italy 47 6.1k 1.4× 1.2k 0.5× 2.2k 1.0× 1.9k 1.3× 431 0.4× 169 8.4k
Jérôme Bibette France 52 4.0k 1.0× 2.2k 0.8× 5.0k 2.3× 1.9k 1.3× 922 1.0× 138 10.7k
Michael Engel Germany 40 5.0k 1.2× 1.1k 0.4× 1.3k 0.6× 786 0.5× 512 0.5× 104 7.3k
Sung Chul Bae United States 28 3.0k 0.7× 968 0.3× 1.2k 0.6× 1.2k 0.9× 326 0.3× 72 5.4k
Luca Cipelletti France 36 3.9k 0.9× 1.1k 0.4× 1.3k 0.6× 686 0.5× 436 0.5× 107 5.7k
René van Roij Netherlands 47 4.9k 1.2× 1.1k 0.4× 2.3k 1.1× 1.3k 0.9× 306 0.3× 180 7.6k
Kenneth S. Schweizer United States 72 11.9k 2.8× 1.9k 0.7× 4.8k 2.2× 2.7k 1.9× 559 0.6× 335 16.4k
Arnout Imhof Netherlands 47 6.0k 1.4× 813 0.3× 2.1k 1.0× 1.6k 1.1× 433 0.5× 120 9.0k
Kyle J. M. Bishop United States 43 4.1k 1.0× 1.4k 0.5× 2.5k 1.2× 1.2k 0.8× 783 0.8× 111 8.4k

Countries citing papers authored by Stefano Sacanna

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Sacanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Sacanna

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Sacanna. A scholar is included among the top collaborators of Stefano Sacanna 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 Stefano Sacanna. Stefano Sacanna 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.
Chen, Michael S., et al.. (2025). Direct observation and control of non-classical crystallization pathways in binary colloidal systems. Nature Communications. 16(1). 3645–3645. 2 indexed citations
2.
Hauser, Adam J., et al.. (2024). Enabling three-dimensional real-space analysis of ionic colloidal crystallization. Nature Materials. 23(8). 1131–1137. 10 indexed citations
3.
Hauser, Adam J., et al.. (2024). Osmotic and phoretic competition explains chemotaxic assembly and sorting. Proceedings of the National Academy of Sciences. 121(47). e2410840121–e2410840121. 2 indexed citations
4.
Xu, Zhe, Theodore Hueckel, William T. M. Irvine, & Stefano Sacanna. (2023). Caged Colloids. Chemistry of Materials. 35(16). 6357–6363. 3 indexed citations
5.
Gong, Zhe, et al.. (2023). Visualizing defect dynamics by assembling the colloidal graphene lattice. Nature Communications. 14(1). 1524–1524. 25 indexed citations
6.
Kumar, Manoj, et al.. (2022). Assembling anisotropic colloids using curvature-mediated lipid sorting. Soft Matter. 18(9). 1757–1766. 1 indexed citations
7.
Biebricher, Andreas S., Zhe Gong, Stefano Sacanna, et al.. (2022). Extreme mechanics of colloidal polymers under compression: Buckling, creep, and break-up. Physical Review Materials. 6(3). 2 indexed citations
8.
Edmond, Kazem V., Joon Suk Oh, Gi‐Ra Yi, et al.. (2021). Large-scale synthesis of colloidal bowl-shaped particles. Soft Matter. 17(25). 6176–6181. 15 indexed citations
9.
Xu, Zhe, Theodore Hueckel, William T. M. Irvine, & Stefano Sacanna. (2021). Transmembrane transport in inorganic colloidal cell-mimics. Nature. 597(7875). 220–224. 44 indexed citations
10.
Tuinier, Remco, et al.. (2020). Selective colloidal bonds via polymer-mediated interactions. Soft Matter. 16(32). 7438–7446. 11 indexed citations
11.
He, Mingxin, Étienne Ducrot, Zhe Gong, et al.. (2020). Colloidal diamond. Nature. 585(7826). 524–529. 254 indexed citations breakdown →
12.
Hueckel, Theodore & Stefano Sacanna. (2018). Mix-and-Melt Colloidal Engineering. ACS Nano. 12(4). 3533–3540. 33 indexed citations
13.
Palacci, Jérémie, et al.. (2016). Trochoidal trajectories of self-propelled Janus particles in a diverging laser beam. Soft Matter. 12(30). 6357–6364. 35 indexed citations
14.
Driscoll, Michelle, Blaise Delmotte, Mena Youssef, et al.. (2016). Unstable fronts and motile structures formed by microrollers. Nature Physics. 13(4). 375–379. 172 indexed citations
15.
Sacanna, Stefano, Mark Korpics, Kelvin Rodriguez, et al.. (2013). Shaping colloids for self-assembly. Nature Communications. 4(1). 1688–1688. 319 indexed citations
16.
Yi, Gi‐Ra, David J. Pine, & Stefano Sacanna. (2013). Recent progress on patchy colloids and their self-assembly. Journal of Physics Condensed Matter. 25(19). 193101–193101. 198 indexed citations
17.
Kim, Seung‐Hyun, Andrew D. Hollingsworth, Stefano Sacanna, et al.. (2012). Synthesis and Assembly of Colloidal Particles with Sticky Dimples. Journal of the American Chemical Society. 134(39). 16115–16118. 88 indexed citations
18.
Sacanna, Stefano, William T. M. Irvine, P. M. Chaikin, & David J. Pine. (2010). Lock and key colloids. Nature. 464(7288). 575–578. 620 indexed citations breakdown →
19.
Erné, Ben H., et al.. (2006). Low-frequency complex magnetic susceptibility of magnetic composite microspheres in colloidal dispersion. Journal of Magnetism and Magnetic Materials. 311(1). 145–149. 12 indexed citations
20.
Banchio, Adolfo J., Jacek Gapiński, A. Patkowski, et al.. (2006). Many-Body Hydrodynamic Interactions in Charge-Stabilized Suspensions. Physical Review Letters. 96(13). 138303–138303. 64 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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