Jenny Paupert

966 total citations
23 papers, 683 citations indexed

About

Jenny Paupert is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Jenny Paupert has authored 23 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Physiology. Recurrent topics in Jenny Paupert's work include Lymphatic System and Diseases (8 papers), Sympathectomy and Hyperhidrosis Treatments (4 papers) and Signaling Pathways in Disease (3 papers). Jenny Paupert is often cited by papers focused on Lymphatic System and Diseases (8 papers), Sympathectomy and Hyperhidrosis Treatments (4 papers) and Signaling Pathways in Disease (3 papers). Jenny Paupert collaborates with scholars based in Belgium, France and Denmark. Jenny Paupert's co-authors include Agnès Noël, Bernard Salles, Catherine Muller, Sylvie Monferran, Silvia Blacher, Nor Eddine Sounni, Stéphanie Dauvillier, Charlotte Erpicum, B. Detry and Anupama Pal and has published in prestigious journals such as Nature Communications, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Jenny Paupert

23 papers receiving 676 citations

Peers

Jenny Paupert
Mary K. Washington United States
Emily J. Poulin United States
Elizabeth Maynard United States
Lynh Nguyen United States
Tahereh Kamalati United Kingdom
Jenny Paupert
Citations per year, relative to Jenny Paupert Jenny Paupert (= 1×) peers Xavier Canron

Countries citing papers authored by Jenny Paupert

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Paupert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenny Paupert

This figure shows the co-authorship network connecting the top 25 collaborators of Jenny Paupert. A scholar is included among the top collaborators of Jenny Paupert 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 Jenny Paupert. Jenny Paupert 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.
Paupert, Jenny, Anne Lorsignol, Childérick Séverac, et al.. (2024). Fibre crosslinking drives the emergence of order in a three-dimensional dynamical network model. Royal Society Open Science. 11(1). 231456–231456. 1 indexed citations
2.
Vaysse, Laurence, Paul Monsarrat, Christophe Guissard, et al.. (2024). A computational model reveals an early transient decrease in fiber cross-linking that unlocks adult regeneration. npj Regenerative Medicine. 9(1). 29–29. 1 indexed citations
3.
Planat‐Benard, Valérie, Christophe Guissard, Jenny Paupert, et al.. (2024). The oral organ: A new vision of the mouth as a whole for a gerophysiological approach to healthy aging. Ageing Research Reviews. 99. 102360–102360. 4 indexed citations
4.
Morfoisse, Florent, Charlotte Erpicum, Silvia Blacher, et al.. (2018). uPARAP/Endo180 receptor is a gatekeeper of VEGFR-2/VEGFR-3 heterodimerisation during pathological lymphangiogenesis. Nature Communications. 9(1). 5178–5178. 22 indexed citations
5.
García‐Caballero, Melissa, Jenny Paupert, Silvia Blacher, et al.. (2017). Targeting VEGFR-3/-2 signaling pathways with AD0157: a potential strategy against tumor-associated lymphangiogenesis and lymphatic metastases. Journal of Hematology & Oncology. 10(1). 122–122. 26 indexed citations
6.
Carrière, Audrey, Yannick Jeanson, Cécile Dromard, et al.. (2017). Identification of the ectoenzyme CD38 as a marker of committed preadipocytes. International Journal of Obesity. 41(10). 1539–1546. 10 indexed citations
7.
García‐Caballero, Melissa, Silvia Blacher, Jenny Paupert, et al.. (2016). Novel application assigned to toluquinol: inhibition of lymphangiogenesis by interfering with VEGF‐C/VEGFR‐3 signalling pathway. British Journal of Pharmacology. 173(12). 1966–1987. 22 indexed citations
8.
Bastos, Débora Campanella, Jenny Paupert, Catherine Maillard, et al.. (2016). Effects of fatty acid synthase inhibitors on lymphatic vessels: an in vitro and in vivo study in a melanoma model. Laboratory Investigation. 97(2). 194–206. 38 indexed citations
9.
Cousin, Béatrice, Louis Casteilla, Patrick Laharrague, et al.. (2015). Immuno-metabolism and adipose tissue: The key role of hematopoietic stem cells. Biochimie. 124. 21–26. 14 indexed citations
10.
Lecomte, Julie, Irina Primac, B. Detry, et al.. (2015). Mesenchymal Stem Cells Shed Amphiregulin at the Surface of Lung Carcinoma Cells in a Juxtacrine Manner. Neoplasia. 17(7). 552–563. 13 indexed citations
11.
Erpicum, Charlotte, B. Detry, Silvia Blacher, et al.. (2014). Bone Marrow-Derived Mesenchymal Stem Cells Drive Lymphangiogenesis. PLoS ONE. 9(9). e106976–e106976. 32 indexed citations
12.
Blacher, Silvia, Charlotte Erpicum, Jenny Paupert, et al.. (2014). Cell Invasion in the Spheroid Sprouting Assay: A Spatial Organisation Analysis Adaptable to Cell Behaviour. PLoS ONE. 9(5). e97019–e97019. 51 indexed citations
13.
Lecomte, Julie, Silvia Blacher, André Gothot, et al.. (2012). Bone Marrow-derived Myofibroblasts Are the Providers of Pro-invasive Matrix Metalloproteinase 13 in Primary Tumor. Neoplasia. 14(10). 943–951. 28 indexed citations
14.
Detry, B., Françoise Bruyére, Charlotte Erpicum, et al.. (2011). Digging deeper into lymphatic vessel formation in vitro and in vivo. BMC Cell Biology. 12(1). 29–29. 29 indexed citations
15.
Paupert, Jenny, Nor Eddine Sounni, & Agnès Noël. (2011). Lymphangiogenesis in post-natal tissue remodeling: Lymphatic endothelial cell connection with its environment. Molecular Aspects of Medicine. 32(2). 146–158. 52 indexed citations
16.
Lecomte, Julie, B. Detry, Silvia Blacher, et al.. (2010). Bone marrow-derived mesenchymal cells and MMP13 contribute to experimental choroidal neovascularization. Cellular and Molecular Life Sciences. 68(4). 677–686. 30 indexed citations
17.
Paupert, Jenny, Véronique Mansat‐De Mas, Cécile Demur, Bernard Salles, & Catherine Muller. (2008). Cell-surface MMP-9 regulates the invasive capacity of leukemia blast cells with monocytic features. Cell Cycle. 7(8). 1047–1053. 42 indexed citations
18.
Andarawewa, Kumari L., Jenny Paupert, Anupama Pal, & Mary Helen Barcellos‐Hoff. (2007). New rationales for using TGFbetainhibitors in radiotherapy. International Journal of Radiation Biology. 83(11-12). 803–811. 53 indexed citations
19.
Muller, Catherine, Jenny Paupert, Sylvie Monferran, & Bernard Salles. (2005). The Double Life of the Ku Protein: Facing the DNA Breaks and the Extracellular Environment. Cell Cycle. 4(3). 438–441. 57 indexed citations
20.
Monferran, Sylvie, Jenny Paupert, Stéphanie Dauvillier, Bernard Salles, & Catherine Muller. (2004). The membrane form of the DNA repair protein Ku interacts at the cell surface with metalloproteinase 9. The EMBO Journal. 23(19). 3758–3768. 85 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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