Angelo Accardo

3.0k total citations · 2 hit papers
64 papers, 2.4k citations indexed

About

Angelo Accardo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Angelo Accardo has authored 64 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 16 papers in Electrical and Electronic Engineering and 10 papers in Molecular Biology. Recurrent topics in Angelo Accardo's work include 3D Printing in Biomedical Research (19 papers), Nanomaterials and Printing Technologies (9 papers) and Surface Modification and Superhydrophobicity (8 papers). Angelo Accardo is often cited by papers focused on 3D Printing in Biomedical Research (19 papers), Nanomaterials and Printing Technologies (9 papers) and Surface Modification and Superhydrophobicity (8 papers). Angelo Accardo collaborates with scholars based in France, Italy and Netherlands. Angelo Accardo's co-authors include Enzo Di Fabrizio, Christian Riekel, Francesco De Angelis, Francesco Gentile, Federico Mecarini, Patrizio Candeloro, Maria Laura Coluccio, Gobind Das, Carlo Liberale and Luca Tirinato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Advanced Functional Materials.

In The Last Decade

Angelo Accardo

60 papers receiving 2.4k citations

Hit Papers

Breaking the diffusion limit with super-hydrophobic deliv... 2011 2026 2016 2021 2011 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelo Accardo France 25 1.3k 608 509 453 425 64 2.4k
Maneesh K. Gupta United States 26 1.4k 1.1× 411 0.7× 322 0.6× 526 1.2× 1.0k 2.4× 51 3.2k
Laurent Malaquin France 31 2.5k 1.9× 494 0.8× 360 0.7× 907 2.0× 224 0.5× 103 3.6k
Feika Bian China 31 1.7k 1.3× 678 1.1× 214 0.4× 464 1.0× 401 0.9× 77 3.1k
Jason J. Amsden United States 21 2.1k 1.6× 477 0.8× 573 1.1× 985 2.2× 1.0k 2.4× 57 3.7k
Prabir Patra United States 25 1.2k 0.9× 578 1.0× 293 0.6× 399 0.9× 567 1.3× 72 2.5k
Yifeng Lei China 32 987 0.8× 449 0.7× 134 0.3× 394 0.9× 451 1.1× 97 2.7k
Ze Zhao China 23 1.1k 0.9× 354 0.6× 191 0.4× 284 0.6× 464 1.1× 54 2.2k
Hongcheng Gu China 27 1.2k 0.9× 196 0.3× 377 0.7× 651 1.4× 289 0.7× 52 2.9k
Yuan Lin China 28 1.2k 0.9× 394 0.6× 825 1.6× 419 0.9× 276 0.6× 138 3.4k

Countries citing papers authored by Angelo Accardo

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Accardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Accardo

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Accardo. A scholar is included among the top collaborators of Angelo Accardo 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 Angelo Accardo. Angelo Accardo 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.
Accardo, Angelo, et al.. (2025). Engineered Cell Microenvironments: A Benchmark Tool for Radiobiology. ACS Applied Materials & Interfaces. 17(4). 5563–5577.
2.
Manco, Megan, et al.. (2025). Micro-digital light processing of conventional and hollow Gyroid mesoscale hydrogel scaffolds for neural cell cultures. Micro and Nano Engineering. 28. 100310–100310.
5.
Boukany, Pouyan E., U. Staufer, Lidy E. Fratila‐Apachitei, et al.. (2024). Bone cell response to additively manufactured 3D micro-architectures with controlled Poisson's ratio: Auxetic vs. non-auxetic meta-biomaterials. Acta Biomaterialia. 177. 228–242. 15 indexed citations
6.
Callens, Sebastien J. P., Teunis van Manen, Angelo Accardo, et al.. (2024). Curvature tuning through defect-based 4D printing. Communications Materials. 5(1). 10 indexed citations
8.
Frimat, Jean‐Philippe, et al.. (2023). Suppression of auto-fluorescence from high-resolution 3D polymeric architectures fabricated via two-photon polymerization for cell biology applications. Micro and Nano Engineering. 19. 100188–100188. 18 indexed citations
9.
Accardo, Angelo, et al.. (2022). In vitro microglia models: the era of engineered cell microenvironments. Neural Regeneration Research. 0(0). 0–0. 8 indexed citations
10.
Heine, Vivi M., et al.. (2022). Engineered cell culture microenvironments for mechanobiology studies of brain neural cells. Frontiers in Bioengineering and Biotechnology. 10. 1096054–1096054. 20 indexed citations
11.
Timmerman, Raissa, et al.. (2022). Two-Photon Polymerization of 2.5D and 3D Microstructures Fostering a Ramified Resting Phenotype in Primary Microglia. Frontiers in Bioengineering and Biotechnology. 10. 926642–926642. 21 indexed citations
12.
Mirzaali, Mohammad J., Mahdiyeh Nouri‐Goushki, Nazlı Tümer, et al.. (2021). Curvature Induced by Deflection in Thick Meta‐Plates. Advanced Materials. 33(30). e2008082–e2008082. 43 indexed citations
13.
Gentile, Francesco, Valentina Onesto, Angelo Accardo, & C. Vieu. (2019). Small-world networks of neuroblastoma cells cultured in three-dimensional polymeric scaffolds featuring multi-scale roughness. Neural Regeneration Research. 15(4). 759–759. 6 indexed citations
14.
Graceffa, Rita, et al.. (2018). Perspectives: DOD Inkjets at High and Ultra-Brilliant Light Sources. NanoWorld Journal. 4(4). 1 indexed citations
15.
Accardo, Angelo, Enzo Di Fabrizio, Tania Limongi, Giovanni Marinaro, & Christian Riekel. (2014). Probing droplets on superhydrophobic surfaces by synchrotron radiation scattering techniques. Journal of Synchrotron Radiation. 21(4). 643–653. 20 indexed citations
16.
Marinaro, Giovanni, Angelo Accardo, Francesco De Angelis, et al.. (2014). A superhydrophobic chip based on SU-8 photoresist pillars suspended on a silicon nitride membrane. Lab on a Chip. 14(19). 3705–3709. 21 indexed citations
17.
Cesca, Fabrizia, Tania Limongi, Angelo Accardo, et al.. (2014). Fabrication of biocompatible free-standing nanopatterned films for primary neuronal cultures. RSC Advances. 4(86). 45696–45702. 30 indexed citations
18.
Accardo, Angelo, Luca Tirinato, Davide Altamura, et al.. (2013). Superhydrophobic surfaces allow probing of exosome self organization using X-ray scattering. Nanoscale. 5(6). 2295–2295. 25 indexed citations
19.
Gentile, Francesco, Maria Laura Coluccio, Angelo Accardo, et al.. (2012). Tailored Ag nanoparticles/nanoporous superhydrophobic surfaces hybrid devices for the detection of single molecule. Microelectronic Engineering. 97. 349–352. 20 indexed citations
20.
Gentile, Francesco, Edmondo Battista, Angelo Accardo, et al.. (2011). Fractal structure can explain the increased hydrophobicity of nanoporous silicon films. Microelectronic Engineering. 88(8). 2537–2540. 40 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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