Samuel Sánchez

19.2k total citations · 11 hit papers
173 papers, 16.2k citations indexed

About

Samuel Sánchez is a scholar working on Condensed Matter Physics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Samuel Sánchez has authored 173 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Condensed Matter Physics, 116 papers in Biomedical Engineering and 41 papers in Mechanical Engineering. Recurrent topics in Samuel Sánchez's work include Micro and Nano Robotics (118 papers), Molecular Communication and Nanonetworks (52 papers) and Microfluidic and Bio-sensing Technologies (47 papers). Samuel Sánchez is often cited by papers focused on Micro and Nano Robotics (118 papers), Molecular Communication and Nanonetworks (52 papers) and Microfluidic and Bio-sensing Technologies (47 papers). Samuel Sánchez collaborates with scholars based in Germany, Spain and United States. Samuel Sánchez's co-authors include Oliver G. Schmidt, Lluís Soler, Xing Ma, Alexander A. Solovev, Jaideep Katuri, Tania Patiño, Martin Pumera, Diana Vilela, Veronika Magdanz and Yongfeng Mei and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Chemical Society Reviews.

In The Last Decade

Samuel Sánchez

171 papers receiving 16.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chemically Powered Micro‐ and Nanomotors

2014 859 citations Samuel Sánchez, Jaideep Katuri et al. profile →
Rolled-up nanotech on polymers: from basic perception to self-propelled catalytic microengines

2011 581 citations Alexander A. Solovev, Samuel Sánchez et al. profile →
Self-Propelled Micromotors for Cleaning Polluted Water

2013 490 citations Veronika Magdanz, Samuel Sánchez et al. ACS Nano profile →
Graphene-Based Microbots for Toxic Heavy Metal Removal and Recovery from Water

2016 469 citations Samuel Sánchez et al. Nano Letters profile →
Enzyme-Powered Hollow Mesoporous Janus Nanomotors

2015 433 citations Xing Ma, Anita Jannasch et al. Nano Letters profile →
Development of a Sperm‐Flagella Driven Micro‐Bio‐Robot

2013 373 citations Veronika Magdanz, Samuel Sánchez et al. Advanced Materials profile →
Micro- and Nanomotors as Active Environmental Microcleaners and Sensors

2018 354 citations Katherine Villa, Joseph Wang et al. Journal of the American Chemical Society profile →
Motion Control of Urea-Powered Biocompatible Hollow Microcapsules

2016 291 citations Xing Ma, Samuel Sánchez et al. ACS Nano profile →
Swarming behavior and in vivo monitoring of enzymatic nanomotors within the bladder

2021 191 citations Ana C. Hortelão, Cristina Simó et al. profile →
Urease-powered nanobots for radionuclide bladder cancer therapy

2024 97 citations Cristina Simó, Ana C. Hortelão et al. Nature Nanotechnology profile →
Natural Hydrogels Support Kidney Organoid Generation and Promote In Vitro Angiogenesis

2024 35 citations Elena Garreta, Asier Ullate‐Agote et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Sánchez Germany	67	11.8k	10.9k	4.3k	2.7k	1.8k	173	16.2k
Jinxing Li China	55	6.6k 0.6×	7.7k 0.7×	3.0k 0.7×	1.6k 0.6×	2.3k 1.3×	118	12.5k
Qiang He China	68	7.0k 0.6×	8.7k 0.8×	3.0k 0.7×	3.6k 1.3×	1.5k 0.8×	281	16.3k
Salvador Pané Switzerland	62	6.5k 0.5×	7.6k 0.7×	4.3k 1.0×	2.8k 1.0×	2.0k 1.1×	296	13.2k
Jianguo Guan China	68	4.8k 0.4×	5.5k 0.5×	2.4k 0.6×	4.0k 1.5×	2.2k 1.2×	311	14.2k
Xing Ma China	70	4.1k 0.4×	8.1k 0.7×	1.6k 0.4×	5.4k 2.0×	2.3k 1.3×	283	16.2k
Zhiguang Wu China	42	5.6k 0.5×	5.9k 0.5×	2.1k 0.5×	1.1k 0.4×	541 0.3×	79	8.0k
David H. Gracias United States	63	3.2k 0.3×	8.3k 0.8×	6.5k 1.5×	1.6k 0.6×	1.6k 0.9×	216	13.1k
Daniela A. Wilson Netherlands	54	3.7k 0.3×	4.3k 0.4×	1.1k 0.3×	2.5k 0.9×	1.0k 0.6×	181	11.8k
Yongfeng Mei China	61	3.6k 0.3×	6.9k 0.6×	3.5k 0.8×	3.9k 1.4×	4.7k 2.6×	402	13.3k

Countries citing papers authored by Samuel Sánchez

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Sánchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Sánchez

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Il‐Doo, et al.. (2025). Micro- and Nanomotors: Engineered Tools for Targeted and Efficient Biomedicine. ACS Nano. 19(9). 8411–8432. 18 indexed citations

Fraire, Juan C., et al.. (2025). Engineered Plasmonic and Fluorescent Nanomaterials for Biosensing, Motion, Imaging, and Therapeutic Applications. Advanced Materials. 37(49). e2502171–e2502171. 3 indexed citations

Filippi, Miriam, D M Mock, Raoul Hopf, et al.. (2025). Multicellular muscle-tendon bioprinting of mechanically optimized musculoskeletal bioactuators with enhanced force transmission. Science Advances. 11(29). eadv2628–eadv2628. 3 indexed citations

Kwong, Lana, Erica Liu, Anna C. Bakenecker, et al.. (2025). Kidney Stone Dissolution By Tetherless, Enzyme‐Loaded, Soft Magnetic Miniature Robots. Advanced Healthcare Materials. 14(23). e2403423–e2403423. 2 indexed citations

Chen, Shuqin, Donglei Fan, Peer Fischer, et al.. (2025). A roadmap for next-generation nanomotors. Nature Nanotechnology. 20(8). 990–1000. 7 indexed citations

Lezcano, María Florencia, Massimo Barbaro, Stefano Lai, et al.. (2025). Monolithic Biohybrid Flexure Mechanism Actuated by Bioengineered Skeletal Muscle Tissue. Advanced Intelligent Systems. 7(10). 2 indexed citations

Carlo, Valerio Di, et al.. (2025). Smart Nanogels as Enzyme‐Driven Nanomotors for Navigating Viscous Physiological Barriers. Advanced Functional Materials. 36(2). 1 indexed citations

Carlo, Valerio Di, et al.. (2025). Hyaluronic Acid-Based Nanomotors: Crossing Mucosal Barriers to Tackle Antimicrobial Resistance. ACS Applied Materials & Interfaces. 17(19). 27988–27999. 2 indexed citations

Garreta, Elena, Asier Ullate‐Agote, Carolina Tarantino, et al.. (2024). Natural Hydrogels Support Kidney Organoid Generation and Promote In Vitro Angiogenesis. Advanced Materials. 36(34). e2400306–e2400306. 35 indexed citations breakdown →

10.

Chen, Shuqin, et al.. (2024). Collective buoyancy-driven dynamics in swarming enzymatic nanomotors. Nature Communications. 15(1). 9315–9315. 11 indexed citations

11.

Simó, Cristina, Ana C. Hortelão, Valerio Di Carlo, et al.. (2024). Urease-powered nanobots for radionuclide bladder cancer therapy. Nature Nanotechnology. 19(4). 554–564. 97 indexed citations breakdown →

12.

Carlo, Valerio Di, et al.. (2024). Catalase-Powered Nanobots for Overcoming the Mucus Barrier. ACS Nano. 18(26). 16701–16714. 28 indexed citations

13.

Arqué, Xavier, Rafael Mestre, Jaime Ortega Arroyo, et al.. (2020). Ionic Species Affect the Self-Propulsion of Urease-Powered Micromotors. Research. 2020. 2424972–2424972. 40 indexed citations

14.

Corato, Marco De, Xavier Arqué, Tania Patiño, et al.. (2020). Self-Propulsion of Active Colloids via Ion Release: Theory and Experiments. Physical Review Letters. 124(10). 108001–108001. 51 indexed citations

15.

Patiño, Tania, Alessandro Porchetta, Anita Jannasch, et al.. (2019). Self-Sensing Enzyme-Powered Micromotors Equipped with pH-Responsive DNA Nanoswitches. Nano Letters. 19(6). 3440–3447. 154 indexed citations

16.

Uspal, William E., Jaideep Katuri, Mihail N. Popescu, & Samuel Sánchez. (2019). Distribution of tracer particles around a catalytic Janus particle. Bulletin of the American Physical Society. 2019. 1 indexed citations

17.

Patiño, Tania, Natàlia Feiner‐Gracia, Xavier Arqué, et al.. (2018). Influence of Enzyme Quantity and Distribution on the Self-Propulsion of Non-Janus Urease-Powered Micromotors. Journal of the American Chemical Society. 140(25). 7896–7903. 195 indexed citations

18.

Ebrahimpour, Arya, et al.. (2016). SERVICEABILITY SENSITIVITY ANALYSIS OF WOOD FLOORS ALLOWING FOR SHEATHING DISCONTINUITIES. Wood and Fiber Science. 48. 17–21. 2 indexed citations

19.

Xi, Wang, Alexander A. Solovev, Adithya N. Ananth, et al.. (2012). Rolled-up magnetic microdrillers: towards remotely controlled minimally invasive surgery. Nanoscale. 5(4). 1294–1297. 231 indexed citations

20.

Sánchez, Samuel, et al.. (2011). The smallest man‐made jet engine. The Chemical Record. 11(6). 367–370. 34 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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