Jean‐Philippe Pradère

8.5k total citations · 4 hit papers
50 papers, 5.5k citations indexed

About

Jean‐Philippe Pradère is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Jean‐Philippe Pradère has authored 50 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Jean‐Philippe Pradère's work include Liver Disease Diagnosis and Treatment (9 papers), Liver physiology and pathology (7 papers) and Advanced Glycation End Products research (6 papers). Jean‐Philippe Pradère is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Liver physiology and pathology (7 papers) and Advanced Glycation End Products research (6 papers). Jean‐Philippe Pradère collaborates with scholars based in France, United States and Germany. Jean‐Philippe Pradère's co-authors include Robert F. Schwabe, Dianne H. Dapito, Ingmar Mederacke, Xueru Mu, Juliane S. Troeger, Geum‐Youn Gwak, Richard A. Friedman, Peter Huebener, Christine Hsu and Jorge Matías Caviglia and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Jean‐Philippe Pradère

48 papers receiving 5.4k citations

Hit Papers

Fate tracing reveals hepatic stellate cells as dominant c... 2012 2026 2016 2021 2013 2012 2013 2012 250 500 750 1000

Peers

Jean‐Philippe Pradère
Ping Qiu United States
Jean‐Philippe Pradère
Citations per year, relative to Jean‐Philippe Pradère Jean‐Philippe Pradère (= 1×) peers Ping Qiu

Countries citing papers authored by Jean‐Philippe Pradère

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Philippe Pradère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Philippe Pradère. 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 Jean‐Philippe Pradère. The network helps show where Jean‐Philippe Pradère may publish in the future.

Co-authorship network of co-authors of Jean‐Philippe Pradère

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Philippe Pradère. A scholar is included among the top collaborators of Jean‐Philippe Pradère 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 Jean‐Philippe Pradère. Jean‐Philippe Pradère 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.
Froger, Josy, Grégory Hilairet, Maëva Durcin, et al.. (2023). Extracellular vesicles are carriers of adiponectin with insulin-sensitizing and anti-inflammatory properties. Cell Reports. 42(8). 112866–112866. 31 indexed citations
2.
Marty, Virginie, Pascale Mercier, Nicolai Krogh, et al.. (2020). Re-assessment of the involvement of Snord115 in the serotonin 2C receptor pathway in a genetically relevant mouse model. eLife. 9. 5 indexed citations
3.
Marty, Virginie, Pascale Mercier, Nicolai Krogh, et al.. (2020). Reassessment of the involvement of Snord115 in the serotonin 2c receptor pathway in a genetically relevant mouse model. eLife. 9. 30 indexed citations
4.
Hernandez, Céline, Peter Huebener, Jean‐Philippe Pradère, et al.. (2018). HMGB1 links chronic liver injury to progenitor responses and hepatocarcinogenesis. Journal of Clinical Investigation. 128(6). 2436–2451. 91 indexed citations
5.
Bertrand, C., Jean‐Philippe Pradère, Simon Deleruyelle, et al.. (2018). Chronic apelin treatment improves hepatic lipid metabolism in obese and insulin-resistant mice by an indirect mechanism. Endocrine. 60(1). 112–121. 24 indexed citations
6.
Mu, Xueru, Jean‐Philippe Pradère, Silvia Affò, et al.. (2015). Epithelial Transforming Growth Factor-β Signaling Does Not Contribute to Liver Fibrosis but Protects Mice From Cholangiocarcinoma. Gastroenterology. 150(3). 720–733. 51 indexed citations
7.
Huebener, Peter, Geum‐Youn Gwak, Jean‐Philippe Pradère, et al.. (2014). High-Mobility Group Box 1 Is Dispensable for Autophagy, Mitochondrial Quality Control, and Organ Function In Vivo. Cell Metabolism. 19(3). 539–547. 63 indexed citations
8.
Labialle, Stéphane, Virginie Marty, Marie‐Line Bortolin‐Cavaillé, et al.. (2014). The miR‐379/miR‐410 cluster at the imprinted Dlk1‐Dio3 domain controls neonatal metabolic adaptation. The EMBO Journal. 33(19). 2216–2230. 82 indexed citations
9.
Pradère, Jean‐Philippe, Dianne H. Dapito, & Robert F. Schwabe. (2013). The Yin and Yang of Toll-like receptors in cancer. Oncogene. 33(27). 3485–3495. 261 indexed citations
10.
Mederacke, Ingmar, Christine Hsu, Juliane S. Troeger, et al.. (2013). Fate tracing reveals hepatic stellate cells as dominant contributors to liver fibrosis independent of its aetiology. Nature Communications. 4(1). 2823–2823. 1035 indexed citations breakdown →
11.
Gonzalez, Julien, S. Mouttalib, Christine Delage, et al.. (2013). Dual effect of chemokine CCL7/MCP-3 in the development of renal tubulointerstitial fibrosis. Biochemical and Biophysical Research Communications. 438(2). 257–263. 23 indexed citations
12.
Troeger, Juliane S., Ingmar Mederacke, Geum‐Youn Gwak, et al.. (2012). Deactivation of Hepatic Stellate Cells During Liver Fibrosis Resolution in Mice. Gastroenterology. 143(4). 1073–1083.e22. 392 indexed citations breakdown →
13.
Rancoule, C., Jean‐Philippe Pradère, Julien Gonzalez, et al.. (2011). Lysophosphatidic acid-1-receptor targeting agents for fibrosis. Expert Opinion on Investigational Drugs. 20(5). 657–667. 63 indexed citations
14.
Dusaulcy, Rodolphe, Danièle Daviaud, Jean‐Philippe Pradère, et al.. (2009). Altered food consumption in mice lacking lysophosphatidic acid receptor-1. Journal of Physiology and Biochemistry. 65(4). 345–350. 20 indexed citations
15.
Ferry, Gilles, Natacha Moulharat, Jean‐Philippe Pradère, et al.. (2008). S32826, A Nanomolar Inhibitor of Autotaxin: Discovery, Synthesis and Applications as a Pharmacological Tool. Journal of Pharmacology and Experimental Therapeutics. 327(3). 809–819. 81 indexed citations
16.
Serre, Guy, et al.. (2005). Aspects transculturels des retards intellectuels chez l'enfant. 2(3). 238–245. 2 indexed citations
17.
Simon, Marie, Danièle Daviaud, Jean‐Philippe Pradère, et al.. (2005). Lysophosphatidic Acid Inhibits Adipocyte Differentiation via Lysophosphatidic Acid 1 Receptor-dependent Down-regulation of Peroxisome Proliferator-activated Receptor γ2. Journal of Biological Chemistry. 280(15). 14656–14662. 121 indexed citations
18.
Mercier, B., P. Granier, Jacques Mercier, et al.. (1998). Noninvasive skeletal muscle lactate detection between periods of intense exercise in humans. European Journal of Applied Physiology. 78(1). 20–27. 7 indexed citations
19.
Blasco, A., et al.. (1979). Débits osseux locaux mesurés par microsphères radioactives: corrélations avec les pressions intra-médullaires.. 46(6). 2 indexed citations
20.
Corberand, J, et al.. (1977). Neutrophil function in rheumatoid arthritis. Scandinavian Journal of Rheumatology. 6(1). 49–52. 20 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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