Matteo D’Este

4.7k total citations · 1 hit paper
83 papers, 3.7k citations indexed

About

Matteo D’Este is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Matteo D’Este has authored 83 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 22 papers in Biomaterials and 20 papers in Surgery. Recurrent topics in Matteo D’Este's work include 3D Printing in Biomedical Research (25 papers), Bone Tissue Engineering Materials (15 papers) and Osteoarthritis Treatment and Mechanisms (12 papers). Matteo D’Este is often cited by papers focused on 3D Printing in Biomedical Research (25 papers), Bone Tissue Engineering Materials (15 papers) and Osteoarthritis Treatment and Mechanisms (12 papers). Matteo D’Este collaborates with scholars based in Switzerland, Netherlands and Germany. Matteo D’Este's co-authors include David Eglin, Mauro Alini, A. Schwab, Riccardo Levato, Jos Malda, Susanna Piluso, Dalila Petta, Dirk W. Grijpma, Marcy Zenobi‐Wong and Jana Becher and has published in prestigious journals such as Chemical Reviews, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Matteo D’Este

77 papers receiving 3.6k citations

Hit Papers

Printability and Shape Fidelity of Bioinks in 3D Bioprinting 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo D’Este Switzerland 32 2.3k 943 919 663 410 83 3.7k
Maria Cornelissen Belgium 27 2.3k 1.0× 1.1k 1.2× 783 0.9× 893 1.3× 519 1.3× 53 4.5k
Heidi Declercq Belgium 39 2.4k 1.0× 1.7k 1.8× 470 0.5× 1.1k 1.6× 510 1.2× 130 4.9k
Joana Silva‐Correia Portugal 39 1.7k 0.7× 1.3k 1.3× 271 0.3× 802 1.2× 340 0.8× 92 3.5k
Fengxuan Han China 30 2.8k 1.2× 1.5k 1.6× 328 0.4× 891 1.3× 458 1.1× 78 4.0k
Yuxiao Lai China 36 2.6k 1.1× 1.5k 1.6× 432 0.5× 885 1.3× 432 1.1× 96 4.1k
Andrew C. Daly Ireland 20 3.0k 1.3× 809 0.9× 1.1k 1.2× 524 0.8× 426 1.0× 24 3.9k
Changshun Ruan China 38 3.2k 1.4× 1.4k 1.5× 665 0.7× 628 0.9× 463 1.1× 111 4.7k
Huanan Wang China 38 3.2k 1.4× 1.6k 1.7× 348 0.4× 821 1.2× 814 2.0× 131 5.5k
Debby Gawlitta Netherlands 33 2.9k 1.2× 1.2k 1.3× 1.1k 1.2× 1.3k 1.9× 504 1.2× 78 4.7k
Luiz E. Bertassoni United States 36 3.7k 1.6× 1.3k 1.4× 1.2k 1.3× 681 1.0× 559 1.4× 79 6.0k

Countries citing papers authored by Matteo D’Este

Since Specialization
Citations

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

Fields of papers citing papers by Matteo D’Este

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo D’Este. 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 Matteo D’Este. The network helps show where Matteo D’Este may publish in the future.

Co-authorship network of co-authors of Matteo D’Este

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo D’Este. A scholar is included among the top collaborators of Matteo D’Este 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 Matteo D’Este. Matteo D’Este 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.
Pavan, M., et al.. (2025). Radical-free photopolymerizable composites of hyaluronic acid and gelatin for tissue engineering. Acta Biomaterialia. 197. 121–134. 5 indexed citations
3.
Dubņika, Arita, et al.. (2025). "Injectable platelet-rich fibrin for modelling of mandibular lower border defects in bilateral sagittal split osteotomy". Journal of Cranio-Maxillofacial Surgery. 53(10). 1769–1779.
4.
Zderic, Ivan, et al.. (2024). The impact of adjuvant antibiotic hydrogel application on the primary stability of uncemented hip stems. SHILAP Revista de lepidopterología. 6(1). e000307–e000307. 1 indexed citations
5.
Post, Virginia, Stephan Zeiter, Matteo D’Este, et al.. (2024). Combination of bacteriophages and vancomycin in a co-delivery hydrogel for localized treatment of fracture-related infections. npj Biofilms and Microbiomes. 10(1). 77–77. 11 indexed citations
6.
Okesola, Babatunde O., Cemil Can Eylem, Engin Koçak, et al.. (2023). Bioactive and chemically defined hydrogels with tunable stiffness guide cerebral organoid formation and modulate multi-omics plasticity in cerebral organoids. Acta Biomaterialia. 171. 223–238. 23 indexed citations
7.
Schwab, A., et al.. (2023). Development of a hyaluronic acid—collagen bioink for shear-induced fibers and cells alignment. Biomedical Materials. 18(6). 65017–65017. 7 indexed citations
8.
Schwab, A., Claudia Loebel, Marc Falandt, et al.. (2023). Modulating design parameters to drive cell invasion into hydrogels for osteochondral tissue formation. Journal of Orthopaedic Translation. 41. 42–53. 9 indexed citations
9.
Atila, Deniz, Yavuz Emre Arslan, Cemil Can Eylem, et al.. (2023). 3D Printing of Extracellular Matrix‐Based Multicomponent, All‐Natural, Highly Elastic, and Functional Materials toward Vascular Tissue Engineering. Advanced Healthcare Materials. 12(20). e2203044–e2203044. 33 indexed citations
11.
Ločs, Jānis, Matteo D’Este, G. Demazeau, et al.. (2020). Advanced Mg, Zn, Sr, Si Multi-Substituted Hydroxyapatites for Bone Regeneration. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Petta, Dalila, Ugo D’Amora, Luigi Ambrosio, et al.. (2020). Hyaluronic acid as a bioink for extrusion-based 3D printing. Biofabrication. 12(3). 32001–32001. 151 indexed citations
13.
Schwab, A., Riccardo Levato, Matteo D’Este, et al.. (2020). Printability and Shape Fidelity of Bioinks in 3D Bioprinting. Chemical Reviews. 120(19). 11028–11055. 890 indexed citations breakdown →
14.
Schwab, A., Christophe Hélary, R. Geoff Richards, et al.. (2020). Tissue mimetic hyaluronan bioink containing collagen fibers with controlled orientation modulating cell migration and alignment. Materials Today Bio. 7. 100058–100058. 77 indexed citations
15.
Ločs, Jānis, Matteo D’Este, G. Demazeau, et al.. (2020). <p>Advanced Mg, Zn, Sr, Si Multi-Substituted Hydroxyapatites for Bone Regeneration</p>. International Journal of Nanomedicine. Volume 15. 1037–1058. 74 indexed citations
16.
Davidson, Matthew D., et al.. (2019). Mechanochemical Adhesion and Plasticity in Multifiber Hydrogel Networks. Advanced Materials. 32(8). e1905719–e1905719. 62 indexed citations
17.
Nottelet, Benjamin, Xavier Garric, Matteo D’Este, et al.. (2018). Interaction of gentamicin sulfate with alginate and consequences on the physico-chemical properties of alginate-containing biofilms. International Journal of Biological Macromolecules. 121. 390–397. 18 indexed citations
18.
Pereira, Catarina Leite, Graciosa Q. Teixeira, Joana R. Ferreira, et al.. (2018). Stromal Cell Derived Factor-1-Mediated Migration of Mesenchymal Stem Cells Enhances Collagen Type II Expression in Intervertebral Disc. Tissue Engineering Part A. 24(23-24). 1818–1830. 13 indexed citations
19.
20.
D’Este, Matteo, David Eglin, & Mauro Alini. (2014). A systematic analysis of DMTMM vs EDC/NHS for ligation of amines to Hyaluronan in water. Carbohydrate Polymers. 108. 239–246. 141 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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