J. Lafont

1.6k total citations
44 papers, 1.3k citations indexed

About

J. Lafont is a scholar working on Rheumatology, Plant Science and Molecular Biology. According to data from OpenAlex, J. Lafont has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 14 papers in Plant Science and 13 papers in Molecular Biology. Recurrent topics in J. Lafont's work include Osteoarthritis Treatment and Mechanisms (14 papers), Mycotoxins in Agriculture and Food (13 papers) and Cancer-related molecular mechanisms research (8 papers). J. Lafont is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (14 papers), Mycotoxins in Agriculture and Food (13 papers) and Cancer-related molecular mechanisms research (8 papers). J. Lafont collaborates with scholars based in France, United Kingdom and Canada. J. Lafont's co-authors include Christopher L. Murphy, Sonia Talma, Katarzyna Dudek, Frédéric Mallein‐Gérin, Aida Martínez-Sánchez, P. Lafont, Philippe Galéra, Florence Legendre, Magali Demoor and Mouloud Bouyoucef and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

J. Lafont

42 papers receiving 1.3k citations

Peers

J. Lafont

RHEUM

SURGE

GENET

Jean‐Pierre Pujol France

Florence Legendre France

Fiorella Descalzi Cancedda Italy

Yubo Sun United States

Magali Demoor France

Christophe Merceron France

Catherine Baugé France

Anthony M. DeLise United States

Jean-Noël Gouze United States

Haiou Pan Japan

Jean‐Pierre Pujol France

J. Lafont

950 ×1.5

RHEUM

683 ×1.6

330 ×1.0

277 ×1.1

SURGE

238 ×1.3

GENET

Citations per year, relative to J. Lafont J. Lafont (= 1×) peers Jean‐Pierre Pujol

Countries citing papers authored by J. Lafont

Since Specialization

Citations

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

Fields of papers citing papers by J. Lafont

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Lafont, J., et al.. (2023). The epigenetic players and the chromatin marks involved in the articular cartilage during osteoarthritis. Frontiers in Physiology. 14. 1070241–1070241. 8 indexed citations

Perrier‐Groult, Emeline, et al.. (2023). Presence of type IIB procollagen in mouse articular cartilage and growth plate is revealed by immuno-histochemical analysis with a novel specific antibody. SHILAP Revista de lepidopterología. 18. 100130–100130. 1 indexed citations

Aubert‐Foucher, E., Christine Oger‐Desfeux, Marielle Pasdeloup, et al.. (2020). The Lysine Specific Demethylase-1 Negatively Regulates the COL9A1 Gene in Human Articular Chondrocytes. International Journal of Molecular Sciences. 21(17). 6322–6322. 10 indexed citations

Bondanese, Victor P., Aline Lamboux, J. Lafont, et al.. (2016). Hypoxia induces copper stable isotope fractionation in hepatocellular carcinoma, in a HIF-independent manner. Metallomics. 8(11). 1177–1184. 33 indexed citations

Lafont, J., et al.. (2015). Hypoxia potentiates the BMP-2 driven COL2A1 stimulation in human articular chondrocytes via p38 MAPK. Osteoarthritis and Cartilage. 24(5). 856–867. 27 indexed citations

Dudek, Katarzyna, et al.. (2013). Hypoxia Promotes the Production and Inhibits the Destruction of Human Articular Cartilage. Arthritis & Rheumatism. 65(5). 1302–1312. 99 indexed citations

Aubert‐Foucher, E., Hanane Chajra, Emeline Perrier‐Groult, et al.. (2011). Cartilage-Characteristic Matrix Reconstruction by Sequential Addition of Soluble Factors During Expansion of Human Articular Chondrocytes and Their Cultivation in Collagen Sponges. Tissue Engineering Part C Methods. 18(2). 104–112. 26 indexed citations

Dudek, Katarzyna, J. Lafont, Aida Martínez-Sánchez, & Christopher L. Murphy. (2010). Type II Collagen Expression Is Regulated by Tissue-specific miR-675 in Human Articular Chondrocytes. Journal of Biological Chemistry. 285(32). 24381–24387. 120 indexed citations

Murphy, Christopher L., et al.. (2009). HIF-mediated articular chondrocyte function: prospects for cartilage repair. Arthritis Research & Therapy. 11(1). 213–213. 71 indexed citations

10.

Lafont, J., Sonia Talma, & Christopher L. Murphy. (2007). Hypoxia‐inducible factor 2α is essential for hypoxic induction of the human articular chondrocyte phenotype. Arthritis & Rheumatism. 56(10). 3297–3306. 116 indexed citations

11.

Lafont, J., et al.. (2007). Hypoxia Promotes the Differentiated Human Articular Chondrocyte Phenotype through SOX9-dependent and -independent Pathways. Journal of Biological Chemistry. 283(8). 4778–4786. 120 indexed citations

12.

Lafont, J., et al.. (2005). NOV/CCN3 Induces Adhesion of Muscle Skeletal Cells and Cooperates with FGF2 and IGF-1 to Promote Proliferation and Survival. Cell Communication & Adhesion. 12(1-2). 41–57. 22 indexed citations

13.

Lafont, J., et al.. (2004). Kinetic Study of Early Regenerative Effects of RGTA11, a Heparan Sulfate Mimetic, in Rat Craniotomy Defects. Calcified Tissue International. 75(6). 517–525. 25 indexed citations

14.

Lafont, J., M. Laurent, François Lallemand, et al.. (2002). The Expression of novH in Adrenocortical Cells Is Down-regulated by TGFβ1 through c-Jun in a Smad-independent Manner. Journal of Biological Chemistry. 277(43). 41220–41229. 34 indexed citations

15.

Colombier, Marie‐Laure, J. Lafont, F. Blanquaert, et al.. (1999). A Single Low Dose of RGTA<sup>®</sup>, a New Healing Agent, Hastens Wound Maturation and Enhances Bone Deposition in Rat Craniotomy Defects. Cells Tissues Organs. 164(3). 131–140. 20 indexed citations

16.

Lafont, J., Brigitte Baroukh, Ariane Berdal, et al.. (1998). RGTA11, a New Healing Agent, Triggers Developmental Events during Healing of Craniotomy Defects in Adult Rats. Growth Factors. 16(1). 23–38. 35 indexed citations

17.

Colombier, Marie‐Laure, et al.. (1995). Multinucleated giant cells elicited around hydroxyapatite particles implanted in craniotomy defects are not osteoclasts. The Anatomical Record. 242(2). 166–176. 31 indexed citations

18.

Lafont, P. & J. Lafont. (1980). Contamination of maize by mycotoxins.. Bulletin de l Académie vétérinaire de France. 53(4). 533–538. 1 indexed citations

19.

Lafont, P., et al.. (1976). Toxin production by 50 strains of Penicillium used in the cheese industry. Food and Cosmetics Toxicology. 14(2). 137–139. 13 indexed citations

20.

Lafont, P. & J. Lafont. (1969). Contamination of plant products by Aspergillus spp.. Ann. Inst. Pasteur. 116. 237–245. 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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