D. Lacasa

583 total citations
20 papers, 489 citations indexed

About

D. Lacasa is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, D. Lacasa has authored 20 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in D. Lacasa's work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Adipose Tissue and Metabolism (10 papers) and Metabolism, Diabetes, and Cancer (4 papers). D. Lacasa is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (10 papers), Adipose Tissue and Metabolism (10 papers) and Metabolism, Diabetes, and Cancer (4 papers). D. Lacasa collaborates with scholars based in France, United States and Sweden. D. Lacasa's co-authors include Yves Giudicelli, Brigitte Agli, Karine Clément, Esther Garcı́a, Christine Rouault, Michel Lacasa, Vanessa Pellegrinelli, Christophe Klein, Marie‐Noëlle Dieudonné and Olivia du Roure and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Endocrinology and Journal of Lipid Research.

In The Last Decade

D. Lacasa

19 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Lacasa France 13 245 182 136 66 65 20 489
Anke van Spronsen Netherlands 5 369 1.5× 266 1.5× 78 0.6× 46 0.7× 52 0.8× 7 606
G. Shillabeer Canada 16 373 1.5× 281 1.5× 206 1.5× 48 0.7× 52 0.8× 21 720
Carlo M. Malabanan United States 10 235 1.0× 248 1.4× 58 0.4× 47 0.7× 65 1.0× 10 436
Marie S. Isidor Denmark 12 306 1.2× 200 1.1× 152 1.1× 50 0.8× 74 1.1× 17 541
Satoshi Akahane Japan 14 143 0.6× 149 0.8× 152 1.1× 38 0.6× 54 0.8× 21 563
Beate Enigk Germany 14 182 0.7× 256 1.4× 152 1.1× 37 0.6× 81 1.2× 15 556
Ann-Britt Marcher Denmark 11 283 1.2× 211 1.2× 223 1.6× 59 0.9× 22 0.3× 13 565
A. Berthold Germany 9 138 0.6× 154 0.8× 129 0.9× 29 0.4× 61 0.9× 15 439
Barbara A. Cunningham United States 9 225 0.9× 249 1.4× 95 0.7× 27 0.4× 111 1.7× 9 523
Tingqing Guo United States 9 334 1.4× 389 2.1× 86 0.6× 38 0.6× 62 1.0× 10 573

Countries citing papers authored by D. Lacasa

Since Specialization
Citations

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

Fields of papers citing papers by D. Lacasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Lacasa

This figure shows the co-authorship network connecting the top 25 collaborators of D. Lacasa. A scholar is included among the top collaborators of D. Lacasa 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 D. Lacasa. D. Lacasa 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.
Pellegrinelli, Vanessa, Julien Heuvingh, Olivia du Roure, et al.. (2014). Human adipocyte function is impacted by mechanical cues. The Journal of Pathology. 233(2). 183–195. 104 indexed citations
2.
Mejhert, Niklas, Florian Wilfling, David Estève, et al.. (2013). Semaphorin 3C is a novel adipokine linked to extracellular matrix composition. Diabetologia. 56(8). 1792–1801. 28 indexed citations
3.
Mutch, David M., Christine Rouault, Mayoura Kéophiphath, D. Lacasa, & Karine Clément. (2009). Using gene expression to predict the secretome of differentiating human preadipocytes. International Journal of Obesity. 33(3). 354–363. 37 indexed citations
4.
Cancello, Raffaella, Soraya Taleb, Christine Poitou, et al.. (2006). [Is obesity an inflammatory disease?].. PubMed. 115–28. 8 indexed citations
5.
Issad, Tarik, Nicolas Boute, Samira Boubekeur, & D. Lacasa. (2005). Interaction of PTPB with the insulin receptor precursor during its biosynthesis in the endoplasmic reticulum. Biochimie. 87(1). 111–116. 27 indexed citations
6.
Boute, Nicolas, Samira Boubekeur, D. Lacasa, & Tarik Issad. (2004). Monitoring the dynamic of interaction between the insulin receptor and protein tyrosine phosphatase-1B in living cells using BRET (bioluminescence resonance energy transfer). 7.
7.
Issad, Tarik, Nicolas Boute, Samira Boubekeur, D. Lacasa, & Karine Siquier-Pernet. (2003). Looking for an insulin pill? Use the BRET methodology!. Diabetes & Metabolism. 29(2). 111–117. 9 indexed citations
8.
Garcı́a, Esther, Michel Lacasa, Brigitte Agli, Yves Giudicelli, & D. Lacasa. (1999). Modulation of rat preadipocyte adipose conversion by androgenic status: involvement of C/EBPs transcription factors. Journal of Endocrinology. 161(1). 89–97. 32 indexed citations
9.
10.
Lacasa, D., Esther Garcı́a, Brigitte Agli, & Yves Giudicelli. (1997). Control of Rat Preadipocyte Adipose Conversion by Ovarian Status: Regional Specificity and Possible Involvement of the Mitogen-Activated Protein Kinase-Dependent and c-fos Signaling Pathways*. Endocrinology. 138(7). 2729–2734. 32 indexed citations
11.
Lacasa, D., et al.. (1996). Site-Related Differences in G-Protein α Subunit Expression during Adipogenesisin Vitro:Possible Key Role for Gq/11 α in the Control of Preadipocyte Differentiation. Biochemical and Biophysical Research Communications. 220(2). 443–448. 10 indexed citations
12.
Lacasa, D., Brigitte Agli, & Yves Giudicelli. (1995). ζPKC in Rat Preadipocytes: Modulation by Insulin and Serum Mitogenic Factors and Possible Role in Adipogenesisϵ. Biochemical and Biophysical Research Communications. 217(1). 123–130. 16 indexed citations
13.
Lacasa, D., et al.. (1994). Influence of ovarian status and regional fat distribution on protein kinase C in rat fat cells. Journal of Endocrinology. 140(2). 275–282. 9 indexed citations
14.
Giudicelli, Yves, et al.. (1993). Modulation by sex hormones of the membranous transducing system regulating fatty acid mobilization in adipose tissue. Prostaglandins Leukotrienes and Essential Fatty Acids. 48(1). 91–100. 36 indexed citations
15.
Lacasa, D., et al.. (1993). Protein kinase in rat adipocytes: influence of androgenic status and regional fat distribution. Journal of Endocrinology. 138(3). 493–501. 16 indexed citations
16.
Lacasa, D., Pascale Mauriège, Max Lafontan, M Berlan, & Yves Giudicelli. (1988). A reliable assay for beta-adrenoceptors in intact isolated human fat cells with a hydrophilic radioligand, [3H]CGP-12177.. Journal of Lipid Research. 27(4). 368–376. 27 indexed citations
17.
Giudicelli, Yves, et al.. (1986). Are the metabolic characteristics of congenital intraspinal lipoma cells identical to, or different from normal adipocytes?. Child s Nervous System. 2(6). 290–296. 28 indexed citations
18.
19.
Lacasa, D., Brigitte Agli, & Yves Giudicelli. (1984). "Spare" beta-adrenergic receptors of rat white adipocyte membranes.. PubMed. 9(2). 187–95. 12 indexed citations
20.

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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