Samuel Sánchez

19.2k citations
173 papers · 16.2k indexed · 11 hit papers · h-index 67

Samuel Sánchez

171 papers receiving 16.0k citations

Hit Papers

Urease-po...972011202620162021250500750

Peers

Samuel Sánchez
Comparison fields: 5 of 156
  • Condensed Matter Physics 11.8k
  • Biomedical Engineering 10.9k
  • Mechanical Engineering 4.3k
  • Biomaterials 812
  • Cellular and Molecular Neuroscience 1.1k
Replace Jianguo Guan with:
Jianguo Guan China
Salvador Pané Switzerland
Xing Ma China
Jinxing Li China
Qiang He China
Yongfeng Mei China
David H. Gracias United States
Tailin Xu China
Daniela A. Wilson Netherlands
Ryo Yoshida Japan
Samuel Sánchez relative to Jianguo Guan China Jianguo Guan's profile →
Citations per field
00.5×2.5×
Jianguo Guan · 1×
Citations per year

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

The 25 scholars most cited alongside Samuel Sánchez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Sánchez Line = papers co-authored together Samuel Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20252
3 20252
4 20251
5 20250
6 20253
7 20253
8 20252
9
Natural Hydrogels Support Kidney Organoid Generation and Promote In Vitro Angiogenesisbreakdown →
202435
10 202411
11
Urease-powered nanobots for radionuclide bladder cancer therapybreakdown →
202497
12 202428
13 202051
14 202040
15
Distribution of tracer particles around a catalytic Janus particle
20191
16 2019154
17 2018195
18 201730
19
SERVICEABILITY SENSITIVITY ANALYSIS OF WOOD FLOORS ALLOWING FOR SHEATHING DISCONTINUITIES
20162
20 201134

About Samuel Sánchez

Samuel Sánchez is a scholar working on Condensed Matter Physics, Biomedical Engineering and Mechanical Engineering, having authored 173 papers that have together received 16.2k indexed citations. Recurring topics across this work include Micro and Nano Robotics (118 papers), Molecular Communication and Nanonetworks (52 papers), Microfluidic and Bio-sensing Technologies (47 papers), Modular Robots and Swarm Intelligence (33 papers), Advanced Materials and Mechanics (15 papers), Pickering emulsions and particle stabilization (14 papers), 3D Printing in Biomedical Research (12 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). The work is most often cited by research in Condensed Matter Physics (11.8k citations), Biomedical Engineering (10.9k citations) and Mechanical Engineering (4.3k citations). Samuel Sánchez has collaborated with scholars based in Germany, Spain and United States. Frequent 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. Their work appears in journals such as Lab on a Chip, ACS Nano, Journal of the American Chemical Society, Nano Letters and Nanoscale.

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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