Céline Cudejko

491 total citations
7 papers, 304 citations indexed

About

Céline Cudejko is a scholar working on Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Céline Cudejko has authored 7 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Céline Cudejko's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lipid metabolism and disorders (2 papers) and Immune cells in cancer (2 papers). Céline Cudejko is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lipid metabolism and disorders (2 papers) and Immune cells in cancer (2 papers). Céline Cudejko collaborates with scholars based in France, Netherlands and Germany. Céline Cudejko's co-authors include Bart Staels, Réjane Paumelle, Lucı́a Fuentes, Kristiaan Wouters, Sarah Anissa Hannou, Florence Gizard, Elizabeth B. Heywood, Yue Zhao, Karrie L. Jones and Hannes M. Findeisen and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Céline Cudejko

7 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Cudejko France 7 128 121 98 41 37 7 304
Jonathan Kato United States 4 140 1.1× 198 1.6× 64 0.7× 22 0.5× 20 0.5× 7 340
Laure Maneix United States 12 162 1.3× 63 0.5× 58 0.6× 40 1.0× 86 2.3× 24 353
Yosi Gozlan Israel 7 110 0.9× 147 1.2× 51 0.5× 72 1.8× 16 0.4× 11 356
Christos Kiourtis United Kingdom 5 245 1.9× 180 1.5× 111 1.1× 67 1.6× 14 0.4× 7 421
Dominic Bennett United Kingdom 2 131 1.0× 81 0.7× 50 0.5× 22 0.5× 18 0.5× 2 247
Zhanfeng Liang China 10 148 1.2× 39 0.3× 152 1.6× 22 0.5× 25 0.7× 22 370
Annika Zota Germany 8 209 1.6× 167 1.4× 27 0.3× 66 1.6× 25 0.7× 9 392
Luise Angelini United States 5 133 1.0× 196 1.6× 72 0.7× 21 0.5× 14 0.4× 10 325
Laura Clavaín Spain 5 201 1.6× 119 1.0× 29 0.3× 26 0.6× 46 1.2× 6 343
Liu Beiqing United States 11 122 1.0× 51 0.4× 239 2.4× 40 1.0× 18 0.5× 12 415

Countries citing papers authored by Céline Cudejko

Since Specialization
Citations

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

Fields of papers citing papers by Céline Cudejko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Cudejko

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

All Works

7 of 7 papers shown
1.
Tilstam, Pathricia V., Marion J. Gijbels, Mohamed Habbeddine, et al.. (2014). Bone Marrow-Specific Knock-In of a Non-Activatable Ikkα Kinase Mutant Influences Haematopoiesis but Not Atherosclerosis in Apoe-Deficient Mice. PLoS ONE. 9(2). e87452–e87452. 12 indexed citations
2.
Wouters, Kristiaan, Céline Cudejko, Marion J. Gijbels, et al.. (2012). Bone Marrow p16INK4a-Deficiency Does Not Modulate Obesity, Glucose Homeostasis or Atherosclerosis Development. PLoS ONE. 7(3). e32440–e32440. 11 indexed citations
3.
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
4.
Cudejko, Céline, Kristiaan Wouters, Lucı́a Fuentes, et al.. (2011). p16INK4a deficiency promotes IL-4–induced polarization and inhibits proinflammatory signaling in macrophages. Blood. 118(9). 2556–2566. 93 indexed citations
5.
Gizard, Florence, Elizabeth B. Heywood, Hannes M. Findeisen, et al.. (2010). Telomerase Activation in Atherosclerosis and Induction of Telomerase Reverse Transcriptase Expression by Inflammatory Stimuli in Macrophages. Arteriosclerosis Thrombosis and Vascular Biology. 31(2). 245–252. 78 indexed citations
6.
Touvier, Thierry, F. Conte-Auriol, Olivier Briand, et al.. (2009). LEPROT and LEPROTL1 cooperatively decrease hepatic growth hormone action in mice. Journal of Clinical Investigation. 119(12). 3830–3838. 39 indexed citations
7.
Flajollet, Sébastien, Bruno Lefebvre, Céline Cudejko, Bart Staels, & Philippe Lefèbvre. (2007). The core component of the mammalian SWI/SNF complex SMARCD3/BAF60c is a coactivator for the nuclear retinoic acid receptor. Molecular and Cellular Endocrinology. 270(1-2). 23–32. 36 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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