Bruno Derudas

4.4k total citations · 2 hit papers
35 papers, 3.5k citations indexed

About

Bruno Derudas is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Bruno Derudas has authored 35 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Bruno Derudas's work include Peroxisome Proliferator-Activated Receptors (19 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Immune cells in cancer (7 papers). Bruno Derudas is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (19 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Immune cells in cancer (7 papers). Bruno Derudas collaborates with scholars based in France, Netherlands and Belgium. Bruno Derudas's co-authors include Bart Staels, Giulia Chinetti, Christophe Zawadzki, Brigitte Jude, Mohamed Amine Bouhlel, Stéphan Haulon, John Brozek, Elena Rigamonti, Nikolaus Marx and Gérard Torpier and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Gastroenterology.

In The Last Decade

Bruno Derudas

34 papers receiving 3.4k citations

Hit Papers

PPARγ Activation Primes Human Monocytes into Alternative ... 2000 2026 2008 2017 2007 2000 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PPARγ Activation Primes Human Monocytes into Alternative M2 Macrophages with Anti-inflammatory Properties
    2007 1.1k citations Mohamed Amine Bouhlel, Bruno Derudas et al. Cell Metabolism profile →
  2. Peroxisome Proliferator-activated Receptor α Activators Improve Insulin Sensitivity and Reduce Adiposity
    2000 526 citations Michèle Guerre-Millo, Philippe Gervois et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Derudas France 22 1.6k 1.1k 1.1k 795 527 35 3.5k
Yuchang Fu United States 28 1.3k 0.8× 1.2k 1.0× 689 0.6× 824 1.0× 732 1.4× 42 3.3k
Kalyankar Mahadev United States 21 1.7k 1.0× 1.1k 1.0× 925 0.9× 1.5k 1.9× 310 0.6× 30 3.8k
Jaap G. Neels France 24 1.1k 0.7× 1.7k 1.5× 1.0k 0.9× 1.3k 1.7× 285 0.5× 44 3.7k
David S. Milstone United States 21 2.6k 1.6× 864 0.8× 882 0.8× 1.2k 1.5× 517 1.0× 38 4.5k
Graziano Pelli Switzerland 32 1.1k 0.6× 598 0.5× 1.5k 1.3× 390 0.5× 497 0.9× 52 3.5k
Rossella Menghini Italy 29 1.7k 1.1× 617 0.5× 667 0.6× 653 0.8× 323 0.6× 72 3.5k
Régine Merval France 28 1.9k 1.2× 960 0.8× 2.5k 2.3× 699 0.9× 842 1.6× 45 5.1k
Sandrine Besnard France 10 1.3k 0.8× 659 0.6× 1.0k 0.9× 331 0.4× 341 0.6× 11 2.4k
Hou‐Zao Chen China 42 2.7k 1.6× 778 0.7× 677 0.6× 1.2k 1.5× 451 0.9× 109 5.7k
Aiwei Yao‐Borengasser United States 23 1.2k 0.7× 1.3k 1.1× 316 0.3× 1.3k 1.7× 289 0.5× 32 3.0k

Countries citing papers authored by Bruno Derudas

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Derudas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Derudas

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Derudas. A scholar is included among the top collaborators of Bruno Derudas 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 Bruno Derudas. Bruno Derudas 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.
Dehondt, Hélène, Arianna Marino, Laura Butruille, et al.. (2023). Adipocyte-specific FXR-deficiency protects adipose tissue from oxidative stress and insulin resistance and improves glucose homeostasis. Molecular Metabolism. 69. 101686–101686. 16 indexed citations
2.
Macedo, Ana, et al.. (2022). Fingolimod treatment modulates PPARγ and CD36 gene expression in women with multiple sclerosis. Frontiers in Molecular Neuroscience. 15. 1077381–1077381. 5 indexed citations
3.
Mogilenko, Denis A., Robert Caïazzo, Laurent L’homme, et al.. (2021). IFNγ-producing NK cells in adipose tissue are associated with hyperglycemia and insulin resistance in obese women. International Journal of Obesity. 45(7). 1607–1617. 10 indexed citations
4.
Cuypers, Bart, Asta Tvarijonaviciute, Bruno Derudas, et al.. (2021). A targeted multi-omics approach reveals paraoxonase-1 as a determinant of obesity-associated fatty liver disease. Clinical Epigenetics. 13(1). 158–158. 11 indexed citations
5.
Wouters, Kristiaan, Yann Deleye, Sarah Anissa Hannou, et al.. (2017). The tumour suppressor CDKN2A/p16INK4a regulates adipogenesis and bone marrow-dependent development of perivascular adipose tissue. Diabetes and Vascular Disease Research. 14(6). 516–524. 14 indexed citations
6.
Oger, Frédérik, Céline Gheeraert, Julie Dubois‐Chevalier, et al.. (2017). The RBM14/CoAA-interacting, long intergenic non-coding RNA Paral1 regulates adipogenesis and coactivates the nuclear receptor PPARγ. Scientific Reports. 7(1). 14087–14087. 36 indexed citations
7.
Dubois‐Chevalier, Julie, Vanessa Dubois, Hélène Dehondt, et al.. (2017). The logic of transcriptional regulator recruitment architecture at cis-regulatory modules controlling liver functions. Genome Research. 27(6). 985–996. 18 indexed citations
8.
Francque, Sven, An Verrijken, Sandrine Caron, et al.. (2015). PPARα gene expression correlates with severity and histological treatment response in patients with non-alcoholic steatohepatitis. Journal of Hepatology. 63(1). 164–173. 280 indexed citations
9.
Colin, Sophie, Andrea E. Bochem, Corinne Copin, et al.. (2014). HDL does not influence the polarization of human monocytes toward an alternative phenotype. International Journal of Cardiology. 172(1). 179–184. 25 indexed citations
10.
Mayi, Thérèse Hervèe, Mehdi Daoudi, Bruno Derudas, et al.. (2012). Human Adipose Tissue Macrophages Display Activation of Cancer-related Pathways. Journal of Biological Chemistry. 287(26). 21904–21913. 62 indexed citations
11.
Fuentes, Lucı́a, Kristiaan Wouters, Sarah Anissa Hannou, et al.. (2011). Downregulation of the tumour suppressor p16INK4A contributes to the polarisation of human macrophages toward an adipose tissue macrophage (ATM)-like phenotype. Diabetologia. 54(12). 3150–3156. 35 indexed citations
12.
Popescu, Iuliana, Audrey Helleboid‐Chapman, Anthony Lucas, et al.. (2010). The nuclear receptor FXR is expressed in pancreatic β‐cells and protects human islets from lipotoxicity. FEBS Letters. 584(13). 2845–2851. 77 indexed citations
13.
Pourcet, Benoît, Inès Pineda‐Torra, Bruno Derudas, Bart Staels, & Corine Glineur. (2009). SUMOylation of Human Peroxisome Proliferator-activated Receptor α Inhibits Its Trans-activity through the Recruitment of the Nuclear Corepressor NCoR. Journal of Biological Chemistry. 285(9). 5983–5992. 75 indexed citations
14.
Bouhlel, Mohamed Amine, John Brozek, Bruno Derudas, et al.. (2009). Unlike PPARγ, PPARα or PPARβ/δ activation does not promote human monocyte differentiation toward alternative macrophages. Biochemical and Biophysical Research Communications. 386(3). 459–462. 49 indexed citations
15.
Mysiorek, Caroline, Maxime Culot, Lucie Dehouck, et al.. (2009). Peroxisome Proliferator-Activated Receptor-α Activation Protects Brain Capillary Endothelial Cells from Oxygen-Glucose Deprivation-Induced Hyperpermeability in the Blood-Brain Barrier. Current Neurovascular Research. 6(3). 181–193. 45 indexed citations
16.
Duez, Hélène, Jelske N. van der Veen, Christian Duhem, et al.. (2008). Regulation of Bile Acid Synthesis by the Nuclear Receptor Rev-erbα. Gastroenterology. 135(2). 689–698.e5. 177 indexed citations
17.
Bouhlel, Mohamed Amine, Bruno Derudas, Elena Rigamonti, et al.. (2007). PPARγ Activation Primes Human Monocytes into Alternative M2 Macrophages with Anti-inflammatory Properties. Cell Metabolism. 6(2). 137–143. 1105 indexed citations breakdown →
18.
Guerre-Millo, Michèle, Philippe Gervois, Eric Raspé, et al.. (2000). PPARa activators improve insulin sensitivity and reduce adiposity. Journal of Biological Chemistry. 93 indexed citations
19.
Guerre-Millo, Michèle, Philippe Gervois, Eric Raspé, et al.. (2000). Peroxisome Proliferator-activated Receptor α Activators Improve Insulin Sensitivity and Reduce Adiposity. Journal of Biological Chemistry. 275(22). 16638–16642. 526 indexed citations breakdown →
20.
Bard, Jean‐Marie, Sophie Lestavel, Véronique Clavey, et al.. (1992). Isolation and characterization of two sub-species of Lp(a), one containing apo E and one free of apo E. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1127(2). 124–130. 32 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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