François Berthiaume

12.5k total citations · 3 hit papers
198 papers, 9.7k citations indexed

About

François Berthiaume is a scholar working on Surgery, Hepatology and Molecular Biology. According to data from OpenAlex, François Berthiaume has authored 198 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 54 papers in Hepatology and 43 papers in Molecular Biology. Recurrent topics in François Berthiaume's work include Liver physiology and pathology (38 papers), Wound Healing and Treatments (36 papers) and Organ Transplantation Techniques and Outcomes (35 papers). François Berthiaume is often cited by papers focused on Liver physiology and pathology (38 papers), Wound Healing and Treatments (36 papers) and Organ Transplantation Techniques and Outcomes (35 papers). François Berthiaume collaborates with scholars based in United States, Netherlands and Switzerland. François Berthiaume's co-authors include Martin L. Yarmush, Arno W. Tilles, Rene Schloss, Andre F. Palmer, Mehmet Toner, Yaakov Nahmias, Timothy J. Maguire, Daan van Poll, Biju Parekkadan and Cheul H. Cho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Biotechnology.

In The Last Decade

François Berthiaume

191 papers receiving 9.5k citations

Hit Papers

The Role of Macrophages i... 2010 2026 2015 2020 2018 2010 2011 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
François Berthiaume 3.7k 2.5k 2.4k 2.3k 1.8k 198 9.7k
Brigitte Vollmar 4.9k 1.3× 1.3k 0.5× 2.9k 1.2× 2.1k 0.9× 683 0.4× 530 14.3k
Alexis Desmoulière 2.9k 0.8× 635 0.3× 3.8k 1.6× 1.4k 0.6× 842 0.5× 158 14.0k
Yoshiki Sawa 9.5k 2.5× 3.8k 1.5× 5.8k 2.4× 1.1k 0.5× 2.9k 1.6× 955 18.9k
Stuart J. Forbes 5.6k 1.5× 1.3k 0.5× 5.3k 2.2× 6.6k 2.8× 449 0.2× 184 16.4k
Heinz Redl 6.5k 1.8× 3.3k 1.3× 4.3k 1.8× 239 0.1× 2.7k 1.5× 548 19.3k
Matthias W. Laschke 2.8k 0.8× 2.5k 1.0× 2.6k 1.1× 161 0.1× 1.9k 1.1× 353 10.1k
Massimo Locati 2.2k 0.6× 1.3k 0.5× 8.7k 3.6× 338 0.1× 588 0.3× 194 29.1k
Yan Jin 3.1k 0.8× 2.3k 0.9× 7.9k 3.3× 199 0.1× 2.2k 1.2× 381 17.9k
Bruce N. Cronstein 2.1k 0.6× 1.1k 0.4× 5.3k 2.2× 415 0.2× 301 0.2× 254 20.5k
Yuanyuan Zhang 4.1k 1.1× 1.8k 0.7× 2.6k 1.1× 169 0.1× 2.7k 1.5× 288 8.9k

Countries citing papers authored by François Berthiaume

Since Specialization
Citations

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

Fields of papers citing papers by François Berthiaume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Berthiaume

This figure shows the co-authorship network connecting the top 25 collaborators of François Berthiaume. A scholar is included among the top collaborators of François Berthiaume 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 Berthiaume. François Berthiaume 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.
Kumar, Suneel, Madhavan Shanmugavel, Fred C. Krebs, et al.. (2025). Electrochemical sensors for in situ monitoring of reactive species during cold atmospheric plasma-based therapies. Communications Engineering. 5(1). 6–6.
2.
Hudson, Darryl, et al.. (2025). Recent Advancements in Chitosan-Based Biomaterials for Wound Healing. Journal of Functional Biomaterials. 16(2). 45–45. 18 indexed citations
3.
Ghosh, Deepanjan, Jordan R. Yaron, Suneel Kumar, et al.. (2024). Bioactive nanomaterials kickstart early repair processes and potentiate temporally modulated healing of healthy and diabetic wounds. Biomaterials. 306. 122496–122496. 15 indexed citations
4.
Kumar, Suneel, et al.. (2024). Chitosan-polygalacturonic acid complex dressing improves diabetic wound healing and hair growth in diabetic mice. Biochemical and Biophysical Research Communications. 696. 149502–149502. 3 indexed citations
5.
Berthiaume, François, et al.. (2024). Estradiol impacts Müller glia and endothelial cell responses in hyperglycemic microenvironments with advanced glycation end products. Experimental Eye Research. 251. 110185–110185. 3 indexed citations
6.
Berthiaume, François, et al.. (2024). Müller Glia Co-Regulate Barrier Permeability with Endothelial Cells in an Vitro Model of Hyperglycemia. International Journal of Molecular Sciences. 25(22). 12271–12271. 4 indexed citations
7.
Rahman, Md Ashiqur, Ramendra K. Pal, Robert Freeman, et al.. (2023). A Facile Graphene Conductive Polymer Paper Based Biosensor for Dopamine, TNF-α, and IL-6 Detection. Sensors. 23(19). 8115–8115. 25 indexed citations
8.
Belcher, Donald A., et al.. (2023). Biocompatibility of the oxygen carrier polymerized human hemoglobin towards HepG2/C3A cells. Heliyon. 9(5). e15878–e15878. 2 indexed citations
10.
Dash, Biraja C., et al.. (2020). Self-Assembled Nanomaterials for Chronic Skin Wound Healing. Advances in Wound Care. 10(5). 221–233. 25 indexed citations
13.
Hsia, Henry C., et al.. (2015). Soluble Receptor for Advanced Glycation End Products Improves Stromal Cell–Derived Factor-1 Activity in Model Diabetic Environments. Advances in Wound Care. 5(12). 527–538. 13 indexed citations
14.
Vitalo, Antonia, Monica Casali, Yevgeny Berdichevsky, et al.. (2009). Nest Making and Oxytocin Comparably Promote Wound Healing in Isolation Reared Rats. PLoS ONE. 4(5). e5523–e5523. 45 indexed citations
15.
Wang, Sihong, et al.. (2008). Three-Dimensional Primary Hepatocyte Culture in Synthetic Self-Assembling Peptide Hydrogel. Tissue Engineering Part A. 14(2). 227–236. 121 indexed citations
16.
Rajagopalan, Padmavathy, Colette J. Shen, François Berthiaume, et al.. (2006). Polyelectrolyte Nano-scaffolds for the Design of Layered Cellular Architectures. Tissue Engineering. 12(6). 1553–1563. 70 indexed citations
17.
Shinoda, Masahiro, Arno W. Tilles, Go Wakabayashi, et al.. (2006). Treatment of Fulminant Hepatic Failure in Rats Using a Bioartificial Liver Device Containing Porcine Hepatocytes Producing Interleukin-1 Receptor Antagonist. Tissue Engineering. 0(0). 3572266953–3572266953. 2 indexed citations
18.
Washizu, Junji, François Berthiaume, Yasuji Mokuno, et al.. (2001). Long-Term Maintenance of Cytochrome P450 Activities by Rat Hepatocyte/3T3 Cell Co-cultures in Heparinized Human Plasma. Tissue Engineering. 7(6). 691–703. 23 indexed citations
19.
Washizu, Junji, Christina Chan, François Berthiaume, et al.. (2000). Amino Acid Supplementation Improves Cell-Specific Functions of the Rat Hepatocytes Exposed to Human Plasma. Tissue Engineering. 6(5). 497–504. 22 indexed citations
20.
Berthiaume, François, et al.. (1999). Age- and Disease-Related Decline in Immune Function: An Opportunity for "Thymus-Boosting" Therapies. Tissue Engineering. 5(6). 499–514. 21 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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