Charlotte Lahoute

962 total citations
9 papers, 749 citations indexed

About

Charlotte Lahoute is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Charlotte Lahoute has authored 9 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Genetics. Recurrent topics in Charlotte Lahoute's work include Muscle Physiology and Disorders (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Charlotte Lahoute is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Charlotte Lahoute collaborates with scholars based in France, United States and Austria. Charlotte Lahoute's co-authors include Ziad Mallat, Olivier Herbin, Alain Tedgui, Athanassia Sotiropoulos, David Tuil, Dominique Daegelen, Marie-Cécile Wetzel, Adriana Pleșa, Laura M. Bartle and Victor S. Goldmacher and has published in prestigious journals such as PLoS ONE, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Charlotte Lahoute

9 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte Lahoute France 7 385 241 175 156 90 9 749
Tibor Schomber Switzerland 10 432 1.1× 115 0.5× 215 1.2× 253 1.6× 82 0.9× 18 816
Liesbeth P. Verhagen Netherlands 10 283 0.7× 127 0.5× 103 0.6× 53 0.3× 118 1.3× 13 632
Christopher R. Marlein United Kingdom 9 538 1.4× 198 0.8× 405 2.3× 128 0.8× 75 0.8× 15 1.0k
Byeong-Chel Lee United States 13 355 0.9× 214 0.9× 44 0.3× 399 2.6× 75 0.8× 15 875
Nehal S. Parikh United States 10 690 1.8× 117 0.5× 91 0.5× 89 0.6× 163 1.8× 21 987
Gerald Chu United States 5 924 2.4× 153 0.6× 105 0.6× 234 1.5× 105 1.2× 14 1.1k
Rachel E. Piddock United Kingdom 10 476 1.2× 183 0.8× 416 2.4× 121 0.8× 61 0.7× 14 895
Antoni X. Torres‐Collado United States 13 376 1.0× 309 1.3× 57 0.3× 266 1.7× 27 0.3× 17 870
Nicolas Prévost United States 14 440 1.1× 176 0.7× 552 3.2× 159 1.0× 44 0.5× 21 1.2k
Hidenobu Kanda Japan 9 454 1.2× 223 0.9× 30 0.2× 160 1.0× 63 0.7× 10 859

Countries citing papers authored by Charlotte Lahoute

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Lahoute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Lahoute

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

All Works

9 of 9 papers shown
1.
Karpf, Léa, Coline Trichot, Maximilien Grandclaudon, et al.. (2022). A multivariate modeling framework to quantify immune checkpoint context-dependent stimulation on T cells. Cell Discovery. 8(1). 1–1. 1 indexed citations
2.
Haddad, Yacine, Charlotte Lahoute, Marc Clément, et al.. (2017). The Dendritic Cell Receptor DNGR-1 Promotes the Development of Atherosclerosis in Mice. Circulation Research. 121(3). 234–243. 29 indexed citations
3.
Deckert, Jutta, Marie-Cécile Wetzel, Laura M. Bartle, et al.. (2014). SAR650984, A Novel Humanized CD38-Targeting Antibody, Demonstrates Potent Antitumor Activity in Models of Multiple Myeloma and Other CD38+ Hematologic Malignancies. Clinical Cancer Research. 20(17). 4574–4583. 245 indexed citations
4.
Ait‐Oufella, Hafid, Olivier Herbin, Charlotte Lahoute, et al.. (2013). Group X Secreted Phospholipase A2 Limits the Development of Atherosclerosis in LDL Receptor–Null Mice. Arteriosclerosis Thrombosis and Vascular Biology. 33(3). 466–473. 54 indexed citations
5.
Guerci, Aline, Charlotte Lahoute, Sophie Hébrard, et al.. (2012). Srf-Dependent Paracrine Signals Produced by Myofibers Control Satellite Cell-Mediated Skeletal Muscle Hypertrophy. Cell Metabolism. 15(1). 25–37. 107 indexed citations
6.
Guerci, Aline, et al.. (2012). Srf : un acteur clé de l’hypertrophie du muscle squelettique. médecine/sciences. 28(5). 468–470. 1 indexed citations
7.
Lahoute, Charlotte, Olivier Herbin, Ziad Mallat, & Alain Tedgui. (2011). Adaptive immunity in atherosclerosis: mechanisms and future therapeutic targets. Nature Reviews Cardiology. 8(6). 348–358. 182 indexed citations
8.
Lahoute, Charlotte, Athanassia Sotiropoulos, Isabelle Guillet-Deniau, et al.. (2008). Premature Aging in Skeletal Muscle Lacking Serum Response Factor. PLoS ONE. 3(12). e3910–e3910. 61 indexed citations
9.
Charvet, Claude, Christophe Houbron, Ara Parlakian, et al.. (2006). New Role for Serum Response Factor in Postnatal Skeletal Muscle Growth and Regeneration via the Interleukin 4 and Insulin-Like Growth Factor 1 Pathways. Molecular and Cellular Biology. 26(17). 6664–6674. 69 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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