François Berthod

5.7k total citations · 1 hit paper
74 papers, 4.3k citations indexed

About

François Berthod is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, François Berthod has authored 74 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomaterials, 19 papers in Cellular and Molecular Neuroscience and 18 papers in Molecular Biology. Recurrent topics in François Berthod's work include Wound Healing and Treatments (18 papers), Nerve injury and regeneration (17 papers) and 3D Printing in Biomedical Research (13 papers). François Berthod is often cited by papers focused on Wound Healing and Treatments (18 papers), Nerve injury and regeneration (17 papers) and 3D Printing in Biomedical Research (13 papers). François Berthod collaborates with scholars based in Canada, France and United States. François Berthod's co-authors include Robert Gauvin, Lucie Germain, François A. Auger, Marie Gingras, Mathieu Blais, C Collombel, Odile Damour, Annie Black, P. Tremblay and Nicolas L’Heureux and has published in prestigious journals such as Journal of Neuroscience, Biomaterials and Scientific Reports.

In The Last Decade

François Berthod

71 papers receiving 4.2k citations

Hit Papers

Collagen-Based Biomaterials for Tissue Engineering Applic... 2010 2026 2015 2020 2010 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
François Berthod Canada 36 1.9k 1.5k 949 918 829 74 4.3k
Kara L. Spiller United States 34 1.2k 0.6× 1.9k 1.3× 1.6k 1.6× 1.1k 1.2× 733 0.9× 81 5.4k
Mikaël M. Martino Switzerland 32 1.6k 0.9× 1.9k 1.3× 1.2k 1.3× 1.5k 1.6× 986 1.2× 53 5.8k
Stelios T. Andreadis United States 40 1.5k 0.8× 1.0k 0.7× 1.5k 1.5× 1.8k 2.0× 379 0.5× 137 4.7k
Hang Lin United States 48 1.4k 0.7× 2.4k 1.6× 1.5k 1.6× 1.6k 1.8× 210 0.3× 154 6.5k
Cunyi Fan China 53 2.2k 1.2× 2.6k 1.8× 3.2k 3.3× 1.4k 1.5× 1.3k 1.6× 269 8.5k
Miguel Alaminos Spain 43 1.3k 0.7× 885 0.6× 1.2k 1.2× 2.0k 2.2× 322 0.4× 193 5.7k
Valeria Chiono Italy 39 3.3k 1.8× 3.5k 2.4× 1.2k 1.2× 1.0k 1.1× 354 0.4× 113 7.0k
Eduardo A. Silva United States 31 1.8k 1.0× 2.0k 1.4× 1.2k 1.2× 1.2k 1.4× 254 0.3× 55 4.4k
Kerstin Reimers Germany 28 995 0.5× 1.5k 1.0× 609 0.6× 999 1.1× 479 0.6× 99 3.8k
Ulf Nannmark Sweden 39 969 0.5× 904 0.6× 876 0.9× 1.4k 1.5× 156 0.2× 101 5.9k

Countries citing papers authored by François Berthod

Since Specialization
Citations

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

Fields of papers citing papers by François Berthod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Berthod

This figure shows the co-authorship network connecting the top 25 collaborators of François Berthod. A scholar is included among the top collaborators of François Berthod 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 François Berthod. François Berthod 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.
Galbraith, Todd, Stéphane Chabaud, François Berthod, et al.. (2025). Impact of the Use of 2-Phospho-L Ascorbic Acid in the Production of Engineered Stromal Tissue for Regenerative Medicine. Cells. 14(14). 1123–1123.
2.
Galbraith, Todd, et al.. (2025). Long‐term immunosuppression of rabbits through oral tacrolimus administration. Animal Models and Experimental Medicine. 8(9). 1700–1709.
5.
Cadau, Sébastien, et al.. (2023). In vitro glycation of a tissue‐engineered wound healing model to mimic diabetic ulcers. Biotechnology and Bioengineering. 120(6). 1657–1666. 8 indexed citations
6.
Berthod, François, et al.. (2023). Differentiation of Human Induced Pluripotent Stem Cells into Mature and Myelinating Schwann Cells. Tissue Engineering Part C Methods. 29(4). 134–143. 8 indexed citations
7.
Galbraith, Todd, et al.. (2021). Repair of peripheral nerve injuries using a prevascularized cell-based tissue-engineered nerve conduit. Biomaterials. 280. 121269–121269. 44 indexed citations
8.
Braga, Carolyne B., et al.. (2020). Neuropeptide Substance P Released from a Nonswellable Laponite-Based Hydrogel Enhances Wound Healing in a Tissue-Engineered Skin In Vitro. ACS Applied Polymer Materials. 2(12). 5790–5797. 19 indexed citations
9.
Chabaud, Stéphane, et al.. (2020). Prevascularized Tissue-Engineered Human Vaginal Mucosa: In Vitro Optimization and In Vivo Validation. Tissue Engineering Part A. 26(13-14). 811–822. 20 indexed citations
10.
Girard, Dorothée, Betty Laverdet, Virginie Buhé, et al.. (2016). Biotechnological Management of Skin Burn Injuries: Challenges and Perspectives in Wound Healing and Sensory Recovery. Tissue Engineering Part B Reviews. 23(1). 59–82. 56 indexed citations
11.
Blais, Mathieu, et al.. (2014). Sensory Neurons Accelerate Skin Reepithelialization via Substance P in an Innervated Tissue-Engineered Wound Healing Model. Tissue Engineering Part A. 20(15-16). 2180–2188. 54 indexed citations
12.
Gauvin, Robert, et al.. (2011). Comparative study of bovine, porcine and avian collagens for the production of a tissue engineered dermis. Acta Biomaterialia. 7(10). 3757–3765. 73 indexed citations
13.
Tremblay, P., Valérie Hudon, François Berthod, Lucie Germain, & François A. Auger. (2005). Inosculation of Tissue-Engineered Capillaries with the Host's Vasculature in a Reconstructed Skin Transplanted on Mice. American Journal of Transplantation. 5(5). 1002–1010. 283 indexed citations
14.
Berthod, François, et al.. (2003). A tissue-engineered endothelialized dermis to study the modulation of angiogenic and angiostatic molecules on capillary-like tube formation in vitro. British Journal of Dermatology. 148(6). 1094–1104. 99 indexed citations
15.
Auger, François A., Mahmoud Rouabhia, Francine Goulet, et al.. (1998). Tissue-engineered human skin substitutes developed from collagen-populated hydrated gels: clinical and fundamental applications. Medical & Biological Engineering & Computing. 36(6). 801–812. 90 indexed citations
16.
Berthod, François & O. Damour. (1997). In vitroreconstructed skin models for wound coverage in deep burns. British Journal of Dermatology. 136(6). 809–816. 36 indexed citations
17.
Berthod, François, et al.. (1996). Deposition of collagen fibril bundles by long-term culture of fibroblasts in a collagen sponge. Journal of Biomedical Materials Research. 32(1). 87–94. 49 indexed citations
19.
Damour, O., et al.. (1994). A dermal substrate made of collagen-GA-chitosan for deep burn coverage: First clinical uses. Clinical Materials. 15(4). 273–276. 51 indexed citations
20.
Amblard, P, et al.. (1988). [Skin diseases caused by cold].. PubMed. 115(8). 873–80. 1 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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