J. Lavaud

578 total citations
20 papers, 454 citations indexed

About

J. Lavaud is a scholar working on Biomedical Engineering, Molecular Biology and Dermatology. According to data from OpenAlex, J. Lavaud has authored 20 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Dermatology. Recurrent topics in J. Lavaud's work include Nanoplatforms for cancer theranostics (4 papers), Bone Tissue Engineering Materials (3 papers) and Dermatology and Skin Diseases (3 papers). J. Lavaud is often cited by papers focused on Nanoplatforms for cancer theranostics (4 papers), Bone Tissue Engineering Materials (3 papers) and Dermatology and Skin Diseases (3 papers). J. Lavaud collaborates with scholars based in France, Hungary and Portugal. J. Lavaud's co-authors include Véronique Josserand, Jean‐Luc Coll, Catherine Picart, Raphaël Guillot, Maxime Henry, Julien Vollaire, Jean Boutonnât, Françoise Peyrin, G. Bettega and Cécile Olivier and has published in prestigious journals such as Biomaterials, Journal of Controlled Release and Acta Biomaterialia.

In The Last Decade

J. Lavaud

18 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Lavaud France 9 278 123 89 85 60 20 454
Chuying Ma China 15 309 1.1× 202 1.6× 112 1.3× 154 1.8× 31 0.5× 19 599
Benedetta Ghezzi Italy 9 235 0.8× 102 0.8× 64 0.7× 54 0.6× 30 0.5× 31 401
Cheryl V. Rahman United Kingdom 13 357 1.3× 230 1.9× 115 1.3× 101 1.2× 26 0.4× 16 603
Nick R. M. Beijer Netherlands 11 292 1.1× 69 0.6× 105 1.2× 106 1.2× 28 0.5× 18 544
Dongsong Li China 13 273 1.0× 203 1.7× 87 1.0× 172 2.0× 35 0.6× 25 573
Ayako Nishimoto Japan 8 249 0.9× 210 1.7× 213 2.4× 94 1.1× 62 1.0× 13 691
Antonios G. Mikos United States 8 306 1.1× 191 1.6× 101 1.1× 93 1.1× 26 0.4× 10 597
Xiaokun Wang China 10 192 0.7× 194 1.6× 99 1.1× 93 1.1× 19 0.3× 14 450
Xun Xu Germany 14 188 0.7× 138 1.1× 93 1.0× 103 1.2× 32 0.5× 43 506
Hannah Donnelly United Kingdom 13 307 1.1× 103 0.8× 94 1.1× 126 1.5× 25 0.4× 20 561

Countries citing papers authored by J. Lavaud

Since Specialization
Citations

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

Fields of papers citing papers by J. Lavaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lavaud

This figure shows the co-authorship network connecting the top 25 collaborators of J. Lavaud. A scholar is included among the top collaborators of J. Lavaud 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 J. Lavaud. J. Lavaud 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.
Lavaud, J., Guillaume Gricourt, Nicolas de Prost, et al.. (2021). 16S metagenomic assessment of the skin microbiota dynamic and possible association with the risk of infection in patients with epidermal necrolysis. Journal of the European Academy of Dermatology and Venereology. 35(12). e914–e917.
2.
Lavaud, J., Maxime Henry, Arnold Fertin, et al.. (2020). Noninvasive monitoring of liver metastasis development via combined multispectral photoacoustic imaging and fluorescence diffuse optical tomography. International Journal of Biological Sciences. 16(9). 1616–1628. 27 indexed citations
3.
Lavaud, J. & E. Mahé. (2019). Scores de sévérité dans le psoriasis de l’enfant : revue systématique de la littérature. Annales de Dermatologie et de Vénéréologie. 146(12). 771–782. 5 indexed citations
4.
Lavaud, J. & E. Mahé. (2019). Proactive treatment in childhood psoriasis. Annales de Dermatologie et de Vénéréologie. 147(1). 29–35. 6 indexed citations
5.
Vollaire, Julien, Irma Machuca‐Gayet, J. Lavaud, et al.. (2019). The Bone Morphogenetic Protein Signaling Inhibitor LDN-193189 Enhances Metastasis Development in Mice. Frontiers in Pharmacology. 10. 667–667. 14 indexed citations
6.
Lavaud, J., Maxime Henry, Jean‐Luc Coll, & Véronique Josserand. (2017). Exploration of melanoma metastases in mice brains using endogenous contrast photoacoustic imaging. International Journal of Pharmaceutics. 532(2). 704–709. 32 indexed citations
7.
Vendrell, Julie A., J. Lavaud, Irma Machuca‐Gayet, et al.. (2017). The critical role of the ZNF217 oncogene in promoting breast cancer metastasis to the bone. The Journal of Pathology. 242(1). 73–89. 38 indexed citations
8.
Guillot, Raphaël, J. Lavaud, Cécile Olivier, et al.. (2016). Surface delivery of tunable doses of BMP-2 from an adaptable polymeric scaffold induces volumetric bone regeneration. Biomaterials. 104. 168–181. 131 indexed citations
9.
Josserand, Véronique, M. Kéramidas, J. Lavaud, et al.. (2016). Electrochemotherapy guided by intraoperative fluorescence imaging for the treatment of inoperable peritoneal micro-metastases. Journal of Controlled Release. 233. 81–87. 13 indexed citations
10.
Guillot, Raphaël, Isabelle Pignot‐Paintrand, J. Lavaud, et al.. (2016). Assessment of a polyelectrolyte multilayer film coating loaded with BMP-2 on titanium and PEEK implants in the rabbit femoral condyle. Acta Biomaterialia. 36. 310–322. 59 indexed citations
11.
Mazzaferro, Silvia, J. Lavaud, Laetitia Vanwonterghem, et al.. (2015). Targeting CD44 receptor-positive lung tumors using polysaccharide-based nanocarriers: Influence of nanoparticle size and administration route. Nanomedicine Nanotechnology Biology and Medicine. 12(4). 921–932. 53 indexed citations
12.
Caridade, Sofia G., Claire Monge, Jorge Almodóvar, et al.. (2015). Myoconductive and osteoinductive free-standing polysaccharide membranes. Acta Biomaterialia. 15. 139–149. 55 indexed citations
13.
Koenig, Anne, Olivier Piot, Séverine Vignoud, et al.. (2015). Multilayered phantoms with tunable optical properties for a better understanding of light/tissue interactions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9325. 93250B–93250B. 6 indexed citations
14.
Kéramidas, M., J. Lavaud, F. Sergent, et al.. (2014). Noninvasive and Quantitative Assessment ofIn VivoFetomaternal Interface Angiogenesis Using RGD-Based Fluorescence. BioMed Research International. 2014. 1–8. 2 indexed citations
15.
Mazzaferro, Silvia, J. Lavaud, Véronique Josserand, et al.. (2014). 792: Polysaccharide-based nanocarriers targeting CD44 for lung cancer treatment. European Journal of Cancer. 50. S191–S191. 1 indexed citations
16.
Lagrue, Emmanuelle, et al.. (2003). [Newborn asphyxia at term during delivery].. PubMed. 32(1 Suppl). 1S98–105. 2 indexed citations
17.
Chéron, Guy, et al.. (1990). [Sudden infant death syndrome].. PubMed. 37(1). 9–12. 2 indexed citations
18.
Lavaud, J., et al.. (1980). [Creatine kinase BB sera in neonatal injury children (author's transl)].. PubMed. 38(6). 345–50.
19.
Lavaud, J., et al.. (1980). [Adrenal insufficiency and iatrogenic Cushing's syndrome by cutaneous absorption of corticosteroids in an 8 month old infant].. PubMed. 107(3). 191–5. 2 indexed citations
20.
Mo, Rethoré, et al.. (1979). [De novo monosomy 4q32.1 leads to 4qter in a newborn with multiple malformations (author's transl)].. PubMed. 22(4). 214–6. 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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