Jan-Renier Moonen

2.4k total citations
30 papers, 1.6k citations indexed

About

Jan-Renier Moonen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jan-Renier Moonen has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jan-Renier Moonen's work include Pulmonary Hypertension Research and Treatments (10 papers), Angiogenesis and VEGF in Cancer (5 papers) and Congenital heart defects research (3 papers). Jan-Renier Moonen is often cited by papers focused on Pulmonary Hypertension Research and Treatments (10 papers), Angiogenesis and VEGF in Cancer (5 papers) and Congenital heart defects research (3 papers). Jan-Renier Moonen collaborates with scholars based in United States, Netherlands and Germany. Jan-Renier Moonen's co-authors include Guido Krenning, Martin C. Harmsen, Marja J.A. van Luyn, Monika Maleszewska, Marja G. L. Brinker, Marlene Rabinovitch, Jasper Koerts, Lingli Wang, Bart van de Sluis and Nicolette Huijkman and has published in prestigious journals such as Circulation, Nature Communications and Biomaterials.

In The Last Decade

Jan-Renier Moonen

29 papers receiving 1.5k citations

Peers

Jan-Renier Moonen
Ayman Al Haj Zen United Kingdom
Cynthia St. Hilaire United States
Benjamin J. Dunmore United Kingdom
Jian-Su Shao United States
Rosamund McNair United Kingdom
Hsueh-Ying Yang United States
Jan-Renier Moonen
Citations per year, relative to Jan-Renier Moonen Jan-Renier Moonen (= 1×) peers Amal Houssaïni

Countries citing papers authored by Jan-Renier Moonen

Since Specialization
Citations

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

Fields of papers citing papers by Jan-Renier Moonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan-Renier Moonen. 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 Jan-Renier Moonen. The network helps show where Jan-Renier Moonen may publish in the future.

Co-authorship network of co-authors of Jan-Renier Moonen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan-Renier Moonen. A scholar is included among the top collaborators of Jan-Renier Moonen 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 Jan-Renier Moonen. Jan-Renier Moonen 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.
Wang, Lingli, Jan-Renier Moonen, Aiqin Cao, et al.. (2023). Dysregulated Smooth Muscle Cell BMPR2–ARRB2 Axis Causes Pulmonary Hypertension. Circulation Research. 132(5). 545–564. 22 indexed citations
2.
Isobe, Sarasa, Ramesh V. Nair, Helen Kang, et al.. (2023). Reduced FOXF1 links unrepaired DNA damage to pulmonary arterial hypertension. Nature Communications. 14(1). 7578–7578. 6 indexed citations
3.
Moonen, Jan-Renier, James Chappell, Minyi Shi, et al.. (2022). KLF4 recruits SWI/SNF to increase chromatin accessibility and reprogram the endothelial enhancer landscape under laminar shear stress. Nature Communications. 13(1). 4941–4941. 44 indexed citations
4.
Otsuki, Shoichiro, Toshie Saito, Shalina Taylor, et al.. (2021). Monocyte released HERV-K dUTPase engages TLR4 and MCAM causing endothelial mesenchymal transition. JCI Insight. 6(15). 26 indexed citations
5.
Gjaltema, Rutger A. F., Marja G. L. Brinker, Alexandre C. Pereira, et al.. (2021). Reciprocal regulation of endothelial–mesenchymal transition by MAPK7 and EZH2 in intimal hyperplasia and coronary artery disease. Scientific Reports. 11(1). 17764–17764. 11 indexed citations
6.
Sayed, Nazish, Chun Liu, Mohamed Ameen, et al.. (2020). Clinical trial in a dish using iPSCs shows lovastatin improves endothelial dysfunction and cellular cross-talk in LMNA cardiomyopathy. Science Translational Medicine. 12(554). 74 indexed citations
7.
Feen, Diederik E. van der, Guido P. L. Bossers, Quint A. J. Hagdorn, et al.. (2020). Cellular senescence impairs the reversibility of pulmonary arterial hypertension. Science Translational Medicine. 12(554). 85 indexed citations
9.
Krenning, Guido, Valério Garrone Baraúna, José Eduardo Krieger, Martin C. Harmsen, & Jan-Renier Moonen. (2016). Endothelial Plasticity: Shifting Phenotypes through Force Feedback. Stem Cells International. 2016(1). 9762959–9762959. 61 indexed citations
10.
Moonen, Jan-Renier, Marc Schmidt, Monika Maleszewska, et al.. (2015). Endothelial-to-mesenchymal transition contributes to fibro-proliferative vascular disease and is modulated by fluid shear stress. Cardiovascular Research. 108(3). 377–386. 180 indexed citations
11.
Adam, Christian, et al.. (2014). Erk5 inhibits endothelial migration via KLF2-dependent down-regulation of PAK1. Cardiovascular Research. 105(1). 86–95. 44 indexed citations
12.
Kurniati, Neng Fisheri, Rianne M. Jongman, Franziska vom Hagen, et al.. (2013). The flow dependency of Tie2 expression in endotoxemia. Intensive Care Medicine. 39(7). 1262–1271. 38 indexed citations
13.
Maleszewska, Monika, Jan-Renier Moonen, Nicolette Huijkman, et al.. (2012). IL-1β and TGFβ2 synergistically induce endothelial to mesenchymal transition in an NFκB-dependent manner. Immunobiology. 218(4). 443–454. 183 indexed citations
14.
Moonen, Jan-Renier, Martin C. Harmsen, & Guido Krenning. (2012). Cellular plasticity: the good, the bad, and the ugly? Microenvironmental influences on progenitor cell therapy. Canadian Journal of Physiology and Pharmacology. 90(3). 275–285. 8 indexed citations
15.
Moonen, Jan-Renier, Guido Krenning, Marja G. L. Brinker, et al.. (2010). Endothelial progenitor cells give rise to pro-angiogenic smooth muscle-like progeny. Cardiovascular Research. 86(3). 506–515. 114 indexed citations
16.
Krenning, Guido, Jan-Renier Moonen, Marja J.A. van Luyn, & Martin C. Harmsen. (2008). Vascular smooth muscle cells for use in vascular tissue engineering obtained by endothelial-to-mesenchymal transdifferentiation (EnMT) on collagen matrices. Biomaterials. 29(27). 3703–3711. 70 indexed citations
17.
Krenning, Guido, Jan-Renier Moonen, Marja J.A. van Luyn, & Martin C. Harmsen. (2008). Generating New Blood Flow: Integrating Developmental Biology and Tissue Engineering. Trends in Cardiovascular Medicine. 18(8). 312–323. 15 indexed citations
18.
Moonen, Jan-Renier, et al.. (2007). Reduced number and impaired function of circulating progenitor cells in patients with systemic lupus erythematosus. Arthritis Research & Therapy. 9(4). R84–R84. 66 indexed citations
19.
O’Neill, Michael J., Jan-Renier Moonen, Sophie Sarre, et al.. (2001). The effects of LY393613, nimodipine and verapamil, in focal cerebral ischaemia. European Journal of Pharmacology. 411(1-2). 71–83. 10 indexed citations
20.
Scheller, D., Jan-Renier Moonen, Sophie Sarre, et al.. (2000). Neurochemical changes and laser Doppler flowmetry in the endothelin-1 rat model for focal cerebral ischemia. Brain Research. 887(2). 266–275. 62 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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