Benoît Langlois

1.2k total citations
19 papers, 857 citations indexed

About

Benoît Langlois is a scholar working on Immunology and Allergy, Cancer Research and Cell Biology. According to data from OpenAlex, Benoît Langlois has authored 19 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology and Allergy, 10 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Benoît Langlois's work include Cell Adhesion Molecules Research (12 papers), Protease and Inhibitor Mechanisms (10 papers) and Cellular Mechanics and Interactions (3 papers). Benoît Langlois is often cited by papers focused on Cell Adhesion Molecules Research (12 papers), Protease and Inhibitor Mechanisms (10 papers) and Cellular Mechanics and Interactions (3 papers). Benoît Langlois collaborates with scholars based in France, Germany and Belgium. Benoît Langlois's co-authors include Gertraud Orend, Thomas Hussenet, Kim S. Midwood, Stéphane Dedieu, Hervé Emonard, Christophe Schneider, Hervé Sartelet, Patrick Henriet, Laurent Martiny and Jérôme Devy and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Benoît Langlois

18 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Langlois France 15 358 250 247 226 179 19 857
Elizabeth Maynard United States 8 503 1.4× 331 1.3× 126 0.5× 193 0.9× 316 1.8× 9 966
Mumtaz V. Rojiani United States 14 537 1.5× 182 0.7× 281 1.1× 161 0.7× 169 0.9× 29 931
Toshinaga Maeda Japan 18 542 1.5× 286 1.1× 184 0.7× 149 0.7× 177 1.0× 30 951
Marina Strasly Italy 8 488 1.4× 337 1.3× 133 0.5× 129 0.6× 207 1.2× 10 907
Mingzhe Zheng China 19 497 1.4× 203 0.8× 155 0.6× 147 0.7× 128 0.7× 43 1.1k
Tracee S. Panetti United States 15 559 1.6× 251 1.0× 187 0.8× 228 1.0× 94 0.5× 18 930
Eva Andreuzzi Italy 14 377 1.1× 130 0.5× 160 0.6× 103 0.5× 155 0.9× 25 671
Maria Ferletta Sweden 13 497 1.4× 256 1.0× 187 0.8× 166 0.7× 133 0.7× 14 821
Ilka Warshawsky United States 19 561 1.6× 102 0.4× 229 0.9× 177 0.8× 141 0.8× 33 1.2k
Sunish Mohanan United States 14 490 1.4× 152 0.6× 228 0.9× 196 0.9× 481 2.7× 24 1.3k

Countries citing papers authored by Benoît Langlois

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Langlois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Langlois

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

All Works

19 of 19 papers shown
1.
2.
Langlois, Benoît, Julie Martin, Christophe Schneider, et al.. (2022). LRP-1-dependent control of calpain expression and activity: A new mechanism regulating thyroid carcinoma cell adhesion. Frontiers in Oncology. 12. 981927–981927. 2 indexed citations
3.
Langlois, Benoît, Stéphanie Salesse, Christophe Schneider, et al.. (2020). Contribution of the Low-Density Lipoprotein Receptor Family to Breast Cancer Progression. Frontiers in Oncology. 10. 882–882. 23 indexed citations
4.
Le, C., Amar Bennasroune, Benoît Langlois, et al.. (2020). Functional Interplay Between Collagen Network and Cell Behavior Within Tumor Microenvironment in Colorectal Cancer. Frontiers in Oncology. 10. 527–527. 36 indexed citations
5.
Keklikoglou, Ioanna, Ece Kadioglu, Stefan Bissinger, et al.. (2018). Periostin Limits Tumor Response to VEGFA Inhibition. Cell Reports. 22(10). 2530–2540. 33 indexed citations
6.
Langlois, Benoît, Ara Parlakian, Jacqueline Gao-Li, et al.. (2017). Vimentin knockout results in increased expression of sub-endothelial basement membrane components and carotid stiffness in mice. Scientific Reports. 7(1). 11628–11628. 36 indexed citations
7.
Jeanne, Albin, Benoît Langlois, Marion David, et al.. (2017). Identification of LRP-1 as an endocytosis and recycling receptor for β1-integrin in thyroid cancer cells. Oncotarget. 8(45). 78614–78632. 23 indexed citations
8.
Rupp, Tristan, Benoît Langlois, Maria Magdalena Koczorowska, et al.. (2016). Tenascin-C Orchestrates Glioblastoma Angiogenesis by Modulation of Pro- and Anti-angiogenic Signaling. Cell Reports. 17(10). 2607–2619. 73 indexed citations
9.
Langlois, Benoît, Falk Saupe, Tristan Rupp, et al.. (2014). AngioMatrix, a signature of the tumor angiogenic switch-specific matrisome, correlates with poor prognosis for glioma and colorectal cancer patients. Oncotarget. 5(21). 10529–10545. 53 indexed citations
10.
Langlois, Benoît, Jérôme Devy, Albin Jeanne, et al.. (2012). LRP-1–CD44, a New Cell Surface Complex Regulating Tumor Cell Adhesion. Molecular and Cellular Biology. 32(16). 3293–3307. 41 indexed citations
11.
Midwood, Kim S., Thomas Hussenet, Benoît Langlois, & Gertraud Orend. (2011). Advances in tenascin-C biology. Cellular and Molecular Life Sciences. 68(19). 3175–3199. 262 indexed citations
12.
Langlois, Benoît, Christophe Schneider, Patrick Henriet, et al.. (2010). LRP-1 Promotes Cancer Cell Invasion by Supporting ERK and Inhibiting JNK Signaling Pathways. PLoS ONE. 5(7). e11584–e11584. 73 indexed citations
13.
Langlois, Benoît, Hervé Emonard, Laurent Martiny, & Stéphane Dedieu. (2009). Implications multiples du récepteur LRP-1 dans la progression tumorale. Pathologie Biologie. 57(7-8). 548–554. 6 indexed citations
14.
Dedieu, Stéphane & Benoît Langlois. (2008). LRP-1. Cell Adhesion & Migration. 2(2). 77–80. 34 indexed citations
15.
Sid, Brice, et al.. (2008). Thrombospondin-1 enhances human thyroid carcinoma cell invasion through urokinase activity. The International Journal of Biochemistry & Cell Biology. 40(9). 1890–1900. 29 indexed citations
16.
Schneider, Christophe, et al.. (2008). De novo ceramide synthesis is responsible for the anti-tumor properties of camptothecin and doxorubicin in follicular thyroid carcinoma. The International Journal of Biochemistry & Cell Biology. 41(5). 1165–1172. 46 indexed citations
17.
Dedieu, Stéphane, Benoît Langlois, Jérôme Devy, et al.. (2008). LRP-1 Silencing Prevents Malignant Cell Invasion despite Increased Pericellular Proteolytic Activities. Molecular and Cellular Biology. 28(9). 2980–2995. 64 indexed citations
18.
Langlois, Benoît. (1981). Proposition d'extension du modèle génétique additif classique à des situations non panmictiques. Genetics Selection Evolution. 13(2). 151–151. 2 indexed citations
19.
Langlois, Benoît, et al.. (1980). Estimation de la valeur génétique des chevaux de sport d'après les sommes gagnées dans les compétitions équestres françaises. Genetics Selection Evolution. 12(1). 15–15. 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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