Tony Dinis

553 total citations
8 papers, 455 citations indexed

About

Tony Dinis is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Tony Dinis has authored 8 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Tony Dinis's work include Silk-based biomaterials and applications (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers) and Nerve injury and regeneration (5 papers). Tony Dinis is often cited by papers focused on Silk-based biomaterials and applications (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers) and Nerve injury and regeneration (5 papers). Tony Dinis collaborates with scholars based in France and United States. Tony Dinis's co-authors include Christophe Egles, David L. Kaplan, Guillaume Vidal, Frédéric Marin, Roberto Elia, Cyprien Denoeud, Éric Leclerc, Valentina Castagnola, Marie-Charline Blatché and Lionel Dahan and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Journal of Micromechanics and Microengineering.

In The Last Decade

Tony Dinis

8 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tony Dinis France	7	308	254	204	96	40	8	455
Nicholas J. Schaub United States	14	209 0.7×	243 1.0×	189 0.9×	105 1.1×	26 0.7×	27	557
Benjamin S. Spearman United States	9	230 0.7×	184 0.7×	369 1.8×	115 1.2×	16 0.4×	14	538
Alexis M. Ziemba United States	15	318 1.0×	212 0.8×	238 1.2×	116 1.2×	15 0.4×	21	677
Emily R. Aurand United States	10	232 0.8×	132 0.5×	204 1.0×	82 0.9×	20 0.5×	16	509
Rebecca A. Wachs United States	13	141 0.5×	157 0.6×	156 0.8×	241 2.5×	47 1.2×	30	504
Suradip Das India	13	219 0.7×	197 0.8×	263 1.3×	102 1.1×	27 0.7×	19	538
Penghui Fan China	14	159 0.5×	101 0.4×	142 0.7×	37 0.4×	63 1.6×	32	441
Valerie K. Haftel United States	6	323 1.0×	214 0.8×	212 1.0×	117 1.2×	11 0.3×	7	488
Dena Shahriari United States	11	197 0.6×	170 0.7×	223 1.1×	105 1.1×	17 0.4×	15	433
Christoph Tondera Germany	10	104 0.3×	118 0.5×	286 1.4×	69 0.7×	40 1.0×	14	531

Countries citing papers authored by Tony Dinis

Since Specialization

Citations

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

Fields of papers citing papers by Tony Dinis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Dinis

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

All Works

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8 of 8 papers shown

Hansen, Clint, Tony Dinis, Guillaume Vidal, et al.. (2016). In-vivo analysis of nerve regeneration after sciatic nerve injury in a rat model. HAL (Le Centre pour la Communication Scientifique Directe). 3(1). 57–65. 10 indexed citations

Dinis, Tony, et al.. (2016). Recent Strategies in Tissue Engineering for Guided Peripheral Nerve Regeneration. Macromolecular Bioscience. 16(4). 472–481. 84 indexed citations

Castagnola, Valentina, Émeline Descamps, Lionel Dahan, et al.. (2015). Silk and PEG as means to stiffen a parylene probe for insertion in the brain: toward a double time-scale tool for local drug delivery. Journal of Micromechanics and Microengineering. 25(12). 125003–125003. 86 indexed citations

Dinis, Tony, Guillaume Vidal, Pascale Vigneron, et al.. (2014). Complementary Effects of Two Growth Factors in Multifunctionalized Silk Nanofibers for Nerve Reconstruction. PLoS ONE. 9(10). e109770–e109770. 53 indexed citations

Dinis, Tony, Roberto Elia, Cyprien Denoeud, et al.. (2014). 3D multi-channel bi-functionalized silk electrospun conduits for peripheral nerve regeneration. Journal of the mechanical behavior of biomedical materials. 41. 43–55. 148 indexed citations

Duval, Jean-Luc, Tony Dinis, Guillaume Vidal, et al.. (2014). Organotypic culture to assess cell adhesion, growth and alignment of different organs on silk fibroin. Journal of Tissue Engineering and Regenerative Medicine. 11(2). 354–361. 15 indexed citations

Dinis, Tony, et al.. (2014). Method to Form a Fiber/Growth Factor Dual-Gradient along Electrospun Silk for Nerve Regeneration.. ACS Applied Materials & Interfaces. 6(19). 16817–16826. 53 indexed citations

Dinis, Tony, et al.. (2013). Silk nerve: bioactive implant for peripheral nerve regeneration. Computer Methods in Biomechanics & Biomedical Engineering. 16(sup1). 253–254. 6 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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