Jérôme Lamartine

1.8k total citations
44 papers, 1.3k citations indexed

About

Jérôme Lamartine is a scholar working on Molecular Biology, Dermatology and Cell Biology. According to data from OpenAlex, Jérôme Lamartine has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Dermatology and 7 papers in Cell Biology. Recurrent topics in Jérôme Lamartine's work include Skin Protection and Aging (8 papers), Wound Healing and Treatments (6 papers) and Genomics and Chromatin Dynamics (5 papers). Jérôme Lamartine is often cited by papers focused on Skin Protection and Aging (8 papers), Wound Healing and Treatments (6 papers) and Genomics and Chromatin Dynamics (5 papers). Jérôme Lamartine collaborates with scholars based in France, Italy and Canada. Jérôme Lamartine's co-authors include Xavier Gidrol, Ingrid Masse, Michèle T. Martin, Gilles Waksman, Odile Berthier‐Vergnes, Massimo Tommasino, Rosita Accardi, Amandine Pitaval, Bérengère Fromy and Noreli Franco and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and The EMBO Journal.

In The Last Decade

Jérôme Lamartine

44 papers receiving 1.2k citations

Peers

Jérôme Lamartine
Diana C. Blaydon United Kingdom
F.C.S. Ramaekers Netherlands
Hong Wan United Kingdom
Marina Grachtchouk United States
Samantha B. Larsen United States
Diana C. Blaydon United Kingdom
Jérôme Lamartine
Citations per year, relative to Jérôme Lamartine Jérôme Lamartine (= 1×) peers Diana C. Blaydon

Countries citing papers authored by Jérôme Lamartine

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Lamartine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Lamartine

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Lamartine. A scholar is included among the top collaborators of Jérôme Lamartine 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 Jérôme Lamartine. Jérôme Lamartine 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.
Yıldırım, Murat, et al.. (2024). Connexins in epidermal health and diseases: insights into their mutations, implications, and therapeutic solutions. Frontiers in Physiology. 15. 1346971–1346971. 6 indexed citations
2.
Nedachi, Taku, Christelle Bonod‐Bidaud, Sandrine Hughes, et al.. (2023). Chronological aging impacts abundance, function and microRNA content of extracellular vesicles produced by human epidermal keratinocytes. Aging. 15(22). 12702–12722. 8 indexed citations
3.
Pachéco, Yves, Dominique Valeyre, Thomas El Jammal, et al.. (2021). Autophagy and Mitophagy-Related Pathways at the Crossroads of Genetic Pathways Involved in Familial Sarcoidosis and Host-Pathogen Interactions Induced by Coronaviruses. Cells. 10(8). 1995–1995. 10 indexed citations
4.
Chevalier, Fabien, et al.. (2020). Vieillissement et intégrité de la peau. médecine/sciences. 36(12). 1155–1162. 18 indexed citations
5.
Chevalier, Fabien, et al.. (2020). NFATC2 Modulates Radiation Sensitivity in Dermal Fibroblasts From Patients With Severe Side Effects of Radiotherapy. Frontiers in Oncology. 10. 589168–589168. 4 indexed citations
6.
Sanchez, Benjamin, et al.. (2019). Impact of Human Dermal Microvascular Endothelial Cells on Primary Dermal Fibroblasts in Response to Inflammatory Stress. Frontiers in Cell and Developmental Biology. 7. 44–44. 25 indexed citations
7.
Thepot, Amélie, Aurélie Boher, Christelle Guéré, et al.. (2017). Repeated short climatic change affects the epidermal differentiation program and leads to matrix remodeling in a human organotypic skin model. Clinical Cosmetic and Investigational Dermatology. Volume 10. 43–50. 4 indexed citations
8.
Sulpice, Eric, Odile Berthier‐Vergnes, Françoise Degoul, et al.. (2016). A large-scale RNAi screen identifies LCMR1 as a critical regulator of Tspan8-mediated melanoma invasion. Oncogene. 36(4). 446–457. 17 indexed citations
9.
Masse, Ingrid, Odile Berthier‐Vergnes, Michèle T. Martin, et al.. (2012). Functional interplay between p63 and p53 controls RUNX1 function in the transition from proliferation to differentiation in human keratinocytes. Cell Death and Disease. 3(6). e318–e318. 40 indexed citations
10.
Wu, Ning, et al.. (2011). p63 Regulates Human Keratinocyte Proliferation via MYC-regulated Gene Network and Differentiation Commitment through Cell Adhesion-related Gene Network. Journal of Biological Chemistry. 287(8). 5627–5638. 59 indexed citations
11.
Lamartine, Jérôme, et al.. (2010). 93: Gene expression profiles of human melanoma cells with different invasive potential reveal TSPAN8 as a novel mediator of invasion. Bulletin du Cancer. 97(1). S76–S76. 1 indexed citations
12.
Berthier‐Vergnes, Odile, Arnaud de la Fouchardière, Patrick Verrando, et al.. (2010). Gene expression profiles of human melanoma cells with different invasive potential reveal TSPAN8 as a novel mediator of invasion. British Journal of Cancer. 104(1). 155–165. 48 indexed citations
13.
Bonin, Florian, C. Malet, C. Ginestet, et al.. (2009). GATA3 is a master regulator of the transcriptional response to low-dose ionizing radiation in human keratinocytes. BMC Genomics. 10(1). 417–417. 14 indexed citations
14.
Viganò, M, Jérôme Lamartine, Barbara Testoni, et al.. (2006). New p63 targets in keratinocytes identified by a genome‐wide approach. The EMBO Journal. 25(21). 5105–5116. 92 indexed citations
15.
Lamartine, Jérôme, David Castel, Amandine Pitaval, et al.. (2005). Id2 Reverses Cell Cycle Arrest Induced by γ-Irradiation in Human HaCaT Keratinocytes. Journal of Biological Chemistry. 280(16). 15836–15841. 18 indexed citations
16.
Franco, Noreli, Jérôme Lamartine, Vincent Frouin, et al.. (2005). Low-Dose Exposure to γ Rays Induces Specific Gene Regulations in Normal Human Keratinocytes. Radiation Research. 163(6). 623–635. 84 indexed citations
17.
Lamartine, Jérôme. (2003). Towards a new classification of ectodermal dysplasias. Clinical and Experimental Dermatology. 28(4). 351–355. 131 indexed citations
18.
Mertens, Gerhard, et al.. (1999). Mutation of the repeat number of the HPRTB locus and structure of rare intermediate alleles. International Journal of Legal Medicine. 112(3). 192–194. 8 indexed citations
19.
Monier, Karine, Xavier Michalet, Jérôme Lamartine, et al.. (1998). High-resolution mapping of the X-linked lymphoproliferative syndrome region by FISH on combed DNA. Cytogenetic and Genome Research. 81(3-4). 259–264. 5 indexed citations
20.
Lamartine, Jérôme, Marco Seri, R. Cinti, et al.. (1997). Molecular cloning and mapping of a human cDNA (PA2G4) that encodes a protein highly homologous to the mouse cell cycle protein P38-2G4. Cytogenetic and Genome Research. 78(1). 31–35. 57 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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