Claire-Sophie Devignes

406 total citations
8 papers, 308 citations indexed

About

Claire-Sophie Devignes is a scholar working on Cancer Research, Molecular Biology and Rheumatology. According to data from OpenAlex, Claire-Sophie Devignes has authored 8 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Rheumatology. Recurrent topics in Claire-Sophie Devignes's work include Cancer, Hypoxia, and Metabolism (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Claire-Sophie Devignes is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Claire-Sophie Devignes collaborates with scholars based in France, United States and Belgium. Claire-Sophie Devignes's co-authors include Sylvain Provot, Geert Carmeliet, Steve Stegen, Johanna Sigaux, Dominique Modrowski, Hang‐Korng Ea, Martine Cohen‐Solal, Eric Haÿ, Pascal Richette and W. Bouaziz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Developmental Biology and Journal of Bone and Mineral Research.

In The Last Decade

Claire-Sophie Devignes

8 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire-Sophie Devignes France 6 158 81 80 77 36 8 308
Chin-Jung Hsu Taiwan 10 186 1.2× 99 1.2× 105 1.3× 77 1.0× 20 0.6× 11 407
Wanqing Xie China 11 145 0.9× 85 1.0× 43 0.5× 60 0.8× 33 0.9× 19 304
Kyung‐Eun Lim South Korea 12 261 1.7× 57 0.7× 37 0.5× 115 1.5× 36 1.0× 21 420
Shin-Long Wu Taiwan 8 305 1.9× 74 0.9× 160 2.0× 53 0.7× 31 0.9× 10 476
Mitsuyasu Iwasawa Japan 9 227 1.4× 58 0.7× 66 0.8× 112 1.5× 22 0.6× 15 328
Kongzu Hu China 10 118 0.7× 63 0.8× 62 0.8× 30 0.4× 15 0.4× 14 265
F.M. Cornelis Belgium 12 210 1.3× 214 2.6× 78 1.0× 42 0.5× 26 0.7× 23 380
Guang Wang China 11 237 1.5× 29 0.4× 142 1.8× 62 0.8× 48 1.3× 27 432
Serra Ucer United States 6 280 1.8× 84 1.0× 53 0.7× 109 1.4× 60 1.7× 6 446
M. Natalie Davis United States 6 172 1.1× 64 0.8× 49 0.6× 91 1.2× 30 0.8× 6 330

Countries citing papers authored by Claire-Sophie Devignes

Since Specialization
Citations

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

Fields of papers citing papers by Claire-Sophie Devignes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire-Sophie Devignes. 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 Claire-Sophie Devignes. The network helps show where Claire-Sophie Devignes may publish in the future.

Co-authorship network of co-authors of Claire-Sophie Devignes

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

All Works

8 of 8 papers shown
1.
Devignes, Claire-Sophie, Geert Carmeliet, & Steve Stegen. (2022). Amino acid metabolism in skeletal cells. Bone Reports. 17. 101620–101620. 30 indexed citations
2.
Stegen, Steve, Claire-Sophie Devignes, Sophie Torrekens, et al.. (2020). Glutamine Metabolism in Osteoprogenitors Is Required for Bone Mass Accrual and PTH-Induced Bone Anabolism in Male Mice. Journal of Bone and Mineral Research. 36(3). 604–616. 50 indexed citations
3.
Devignes, Claire-Sophie, Yetki Aslan, & Sylvain Provot. (2018). Signaling Pathways Underlying Bone Metastasis: Hypoxia Signaling in Bone Metastasis and Beyond. 4(2). 69–79. 2 indexed citations
4.
Devignes, Claire-Sophie, Sophie Sourice, Arnaud Bianchi, et al.. (2018). PiT1/Slc20a1 Is Required for Endoplasmic Reticulum Homeostasis, Chondrocyte Survival, and Skeletal Development. Journal of Bone and Mineral Research. 34(2). 387–398. 27 indexed citations
5.
Devignes, Claire-Sophie, Yetki Aslan, Audrey Brenot, et al.. (2018). HIF signaling in osteoblast-lineage cells promotes systemic breast cancer growth and metastasis in mice. Proceedings of the National Academy of Sciences. 115(5). E992–E1001. 67 indexed citations
6.
Beck-Cormier, Sarah, Claire-Sophie Devignes, Sophie Sourice, et al.. (2016). Maintenance of chondrocyte survival by PIT1/SLC20A1-mediated regulation of endoplasmic reticulum homeostasis. Osteoarthritis and Cartilage. 24. S135–S135. 2 indexed citations
7.
Bouaziz, W., Johanna Sigaux, Dominique Modrowski, et al.. (2016). Interaction of HIF1α and β-catenin inhibits matrix metalloproteinase 13 expression and prevents cartilage damage in mice. Proceedings of the National Academy of Sciences. 113(19). 5453–5458. 95 indexed citations
8.
Rydeen, Ariel B., et al.. (2015). Excessive feedback of Cyp26a1 promotes cell non-autonomous loss of retinoic acid signaling. Developmental Biology. 405(1). 47–55. 35 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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