Edoardo Sinibaldi

3.9k citations
94 papers · 3.3k · h-index 32

Impact in

    • Soft Robotics and Applications
    • Advanced Sensor and Energy Harvesting Materials
    • Bone Tissue Engineering Materials
    • Nanoplatforms for cancer theranostics
    • Nanoparticle-Based Drug Delivery

Papers in

Edoardo Sinibaldi

91 papers receiving 3.3k citations

Peers

Edoardo Sinibaldi
Comparison fields: 5 of 134
  • Biomedical Engineering 1.6k
  • Biomaterials 304
  • Condensed Matter Physics 254
  • Mechanical Engineering 555
  • Cellular and Molecular Neuroscience 223
Replace Xiaoning Jiang with:
Xiaoning Jiang United States
Leonardo Ricotti Italy
Liu Wang China
Yuan Lin China
Yuhang Li China
Benpeng Zhu China
Pasi J. Kallio Finland
Yeguang Xue United States
Canan Dağdeviren United States
Sarthak Misra Netherlands
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Citations per field
00.5×2×4×6.8×
Xiaoning Jiang · 1×
Citations per year

Countries citing papers authored by Edoardo Sinibaldi

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Sinibaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edoardo Sinibaldi, 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 Edoardo Sinibaldi Line = papers co-authored together Edoardo Sinibaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015296
2 2015289
3 2019182
4 2017162
5 2022143
6 2017124
7 2017107
8 201993
9 202091
10 201278
11 201871
12 202064
13 202262
14 201257
15 201757
16 201854
17 201652
18 201951
19 201650
20 201950

About Edoardo Sinibaldi

Edoardo Sinibaldi is a scholar working on Biomedical Engineering, Condensed Matter Physics, Biomaterials, Mechanical Engineering and Mechanics of Materials, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (30 papers), Micro and Nano Robotics (13 papers), Advanced Materials and Mechanics (12 papers), Nanoparticle-Based Drug Delivery (9 papers), Cavitation Phenomena in Pumps (5 papers), Advanced Fiber Optic Sensors (4 papers), Adhesion, Friction, and Surface Interactions (4 papers) and Teleoperation and Haptic Systems (4 papers). The work is most often cited by research in Biomedical Engineering (1.6k citations), Biomaterials (304 citations), Condensed Matter Physics (254 citations), Mechanical Engineering (555 citations) and Cellular and Molecular Neuroscience (223 citations). Edoardo Sinibaldi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Barbara Mazzolai, Virgilio Mattoli, Gianni Ciofani, Attilio Marino, Arianna Menciassi, Alessio Mondini, Indrek Must, Francesco Greco, Matteo Battaglini and Silvia Taccola. Their work appears in journals such as Nature Machine Intelligence, PLoS ONE, Advanced Materials, Advanced Science and Mathematical Biosciences.

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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