Agnès Pernin

2.4k total citations
16 papers, 2.0k citations indexed

About

Agnès Pernin is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Agnès Pernin has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Epidemiology. Recurrent topics in Agnès Pernin's work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Agnès Pernin is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Agnès Pernin collaborates with scholars based in Switzerland, United States and United Kingdom. Agnès Pernin's co-authors include Cristiana E. Juge-Aubry, Christoph A. Meier, Albert Burger, Jean‐Michel Dayer, Walter Wahli, Emmanuel Somm, Françoise Rohner‐Jeanrenaud, Vittorio Giusti, C A Siegrist-Kaiser and Béatrice Desvergne and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Agnès Pernin

16 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agnès Pernin Switzerland 13 818 811 733 379 319 16 2.0k
Cristiana E. Juge-Aubry Switzerland 22 1.1k 1.3× 1.1k 1.4× 1.2k 1.6× 492 1.3× 439 1.4× 29 2.9k
Todd Schraw United States 13 650 0.8× 1.2k 1.4× 1.3k 1.8× 387 1.0× 320 1.0× 16 2.4k
Fahumiya Samad United States 25 1.1k 1.3× 864 1.1× 1.3k 1.8× 421 1.1× 318 1.0× 49 3.1k
Raghu Adya United Kingdom 20 751 0.9× 756 0.9× 1.2k 1.7× 520 1.4× 245 0.8× 31 2.6k
Mengliu Yang China 30 933 1.1× 767 0.9× 802 1.1× 351 0.9× 306 1.0× 94 2.5k
Naoki Furuyama Japan 10 726 0.9× 1.3k 1.5× 1.9k 2.5× 550 1.5× 553 1.7× 13 2.8k
David Vicent Spain 19 899 1.1× 535 0.7× 340 0.5× 228 0.6× 197 0.6× 37 2.0k
Eva Klimčáková France 27 645 0.8× 1.3k 1.5× 898 1.2× 392 1.0× 224 0.7× 37 2.1k
Miina K. Öhman United States 20 520 0.6× 412 0.5× 431 0.6× 263 0.7× 169 0.5× 34 1.7k
Josef Wanninger Germany 22 480 0.6× 482 0.6× 1.1k 1.5× 278 0.7× 181 0.6× 36 1.8k

Countries citing papers authored by Agnès Pernin

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Pernin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnès Pernin

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

All Works

16 of 16 papers shown
1.
Prunotto, Marco, Annarita Farina, Lydie Lane, et al.. (2013). Proteomic analysis of podocyte exosome-enriched fraction from normal human urine. Journal of Proteomics. 82. 193–229. 121 indexed citations
2.
Lescuyer, Pierre, Agnès Pernin, Alexandre Hainard, et al.. (2008). Proteomic analysis of a podocyte vesicle‐enriched fraction from human normal and pathological urine samples. PROTEOMICS - CLINICAL APPLICATIONS. 2(7-8). 1008–1018. 8 indexed citations
3.
Juge-Aubry, Cristiana E., Emmanuel Somm, Agnès Pernin, et al.. (2005). Adipose tissue is a regulated source of interleukin-10. Cytokine. 29(6). 270–4. 115 indexed citations
4.
Juge-Aubry, Cristiana E., Agnès Pernin, Jean‐Claude Pache, et al.. (2005). Production of Chemokines by Perivascular Adipose Tissue. Arteriosclerosis Thrombosis and Vascular Biology. 25(12). 2594–2599. 320 indexed citations
5.
Somm, Emmanuel, Agnès Pernin, Cristiana E. Juge-Aubry, et al.. (2005). Decreased Fat Mass in Interleukin-1 Receptor Antagonist–Deficient Mice. Diabetes. 54(12). 3503–3509. 94 indexed citations
6.
Juge-Aubry, Cristiana E., Emmanuel Somm, Rachel Chicheportiche, et al.. (2004). Regulatory Effects of Interleukin (IL)-1, Interferon-β, and IL-4 on the Production of IL-1 Receptor Antagonist by Human Adipose Tissue. The Journal of Clinical Endocrinology & Metabolism. 89(6). 2652–2658. 92 indexed citations
7.
Juge-Aubry, Cristiana E., Emmanuel Somm, Vittorio Giusti, et al.. (2003). Adipose Tissue Is a Major Source of Interleukin-1 Receptor Antagonist. Diabetes. 52(5). 1104–1110. 242 indexed citations
8.
Juge-Aubry, Cristiana E., et al.. (1999). Conserved amino acids in the ligand-binding and τi domains of the peroxisome proliferator-activated receptor α are necessary for heterodimerization with RXR. Molecular and Cellular Endocrinology. 147(1-2). 37–47. 25 indexed citations
9.
Juge-Aubry, Cristiana E., Eva Hammar, C A Siegrist-Kaiser, et al.. (1999). Regulation of the Transcriptional Activity of the Peroxisome Proliferator-activated Receptor α by Phosphorylation of a Ligand-independent trans-Activating Domain. Journal of Biological Chemistry. 274(15). 10505–10510. 150 indexed citations
10.
Siegrist-Kaiser, C A, Cristiana E. Juge-Aubry, Olivier Boss, et al.. (1997). Direct effects of leptin on brown and white adipose tissue.. Journal of Clinical Investigation. 100(11). 2858–2864. 311 indexed citations
11.
Juge-Aubry, Cristiana E., Agnès Pernin, Tatiana Favez, et al.. (1997). DNA Binding Properties of Peroxisome Proliferator-activated Receptor Subtypes on Various Natural Peroxisome Proliferator Response Elements. Journal of Biological Chemistry. 272(40). 25252–25259. 315 indexed citations
12.
Pernin, Agnès, et al.. (1997). Lack of Loss of Heterozygosity at the c-<i>erb</i>Aβ Locus in Gastrointestinal Tumors. Oncology. 54(3). 214–219. 15 indexed citations
13.
Zhu, Xuguang, Cristiana E. Juge-Aubry, Agnès Pernin, et al.. (1995). Modulation of thyroid hormone action by mutant thyroid hormone receptors, c-erbAα2 and peroxisome proliferator-activated receptor: evidence for different mechanisms of inhibition. Molecular and Cellular Endocrinology. 107(1). 55–66. 29 indexed citations
14.
Pernin, Agnès, et al.. (1995). Quantitation of β1 triiodothyronine receptor mRNA in human tissues by competitive reverse transcription polymerase chain reaction. Journal of Endocrinological Investigation. 18(10). 767–773. 8 indexed citations
15.
Juge-Aubry, Cristiana E., Agnès Pernin, Thomas Lemberger, et al.. (1995). Peroxisome Proliferator-activated Receptor Mediates Cross-talk with Thyroid Hormone Receptor by Competition for Retinoid X Receptor. Journal of Biological Chemistry. 270(30). 18117–18122. 138 indexed citations
16.
Juge-Aubry, Cristiana E., Odette Morin, Agnès Pernin, et al.. (1995). Long-lasting effects of Triac and thyroxine on the control of thyrotropin and hepatic deiodinase type I. European Journal of Endocrinology. 132(6). 751–758. 9 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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