Evangelia Pardali

4.5k total citations · 1 hit paper
47 papers, 3.7k citations indexed

About

Evangelia Pardali is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Evangelia Pardali has authored 47 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Immunology. Recurrent topics in Evangelia Pardali's work include TGF-β signaling in diseases (23 papers), Angiogenesis and VEGF in Cancer (7 papers) and Cell Adhesion Molecules Research (6 papers). Evangelia Pardali is often cited by papers focused on TGF-β signaling in diseases (23 papers), Angiogenesis and VEGF in Cancer (7 papers) and Cell Adhesion Molecules Research (6 papers). Evangelia Pardali collaborates with scholars based in Netherlands, Germany and Sweden. Evangelia Pardali's co-authors include Peter ten Dijke, Marie‐José Goumans, Gonzalo Sánchez‐Duffhues, Eliza Wiercinska, Maria Catalina Gomez‐Puerto, Jie Cai, Gabri van der Pluijm, Lukas J.A.C. Hawinkels, Carl‐Henrik Heldin and Paschalis Sideras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Evangelia Pardali

47 papers receiving 3.6k citations

Hit Papers

TGF-β-Induced Endothelial-Mesenchymal Transition in Fibro... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Evangelia Pardali
Damian Medici United States
Ester Piek Netherlands
David J. Shields United States
Laura S. Haneline United States
Chengsen Xue United States
Elizabeth R. Lawlor United States
David Plieth United States
Damian Medici United States
Evangelia Pardali
Citations per year, relative to Evangelia Pardali Evangelia Pardali (= 1×) peers Damian Medici

Countries citing papers authored by Evangelia Pardali

Since Specialization
Citations

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

Fields of papers citing papers by Evangelia Pardali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evangelia Pardali

This figure shows the co-authorship network connecting the top 25 collaborators of Evangelia Pardali. A scholar is included among the top collaborators of Evangelia Pardali 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 Evangelia Pardali. Evangelia Pardali 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.
Potì, Francesco, Evangelia Pardali, Matthias D. Seidl, et al.. (2024). Sphingosine 1-phosphate receptor 1signaling in macrophages reduces atherosclerosis in LDL receptor–deficient mice. JCI Insight. 9(24). 2 indexed citations
2.
Cremer, Sebastian, Evangelia Pardali, Birgit Aßmus, et al.. (2021). Full Spectrum of Clonal Haematopoiesis-Driver Mutations in Chronic Heart Failure and their Associations with Mortality. ESC Heart Failure. 8(3). 1873–1884. 31 indexed citations
3.
Godfrey, Rinesh, et al.. (2018). Low density lipoprotein interferes with intracellular signaling of monocytes resulting in impaired chemotaxis and enhanced chemokinesis. International Journal of Cardiology. 255. 160–165. 7 indexed citations
5.
Hawinkels, Lukas J.A.C., Amaya García de Vinuesa, Madelon Paauwe, et al.. (2015). Activin Receptor-like Kinase 1 Ligand Trap Reduces Microvascular Density and Improves Chemotherapy Efficiency to Various Solid Tumors. Clinical Cancer Research. 22(1). 96–106. 45 indexed citations
6.
Pardali, Evangelia. (2012). TGFβ Signaling and Cardiovascular Diseases. International Journal of Biological Sciences. 8(2). 195–213. 125 indexed citations
7.
Seghers, Leonard, Margreet R. de Vries, Evangelia Pardali, et al.. (2012). Shear induced collateral artery growth modulated by endoglin but not by ALK1. Journal of Cellular and Molecular Medicine. 16(10). 2440–2450. 33 indexed citations
8.
Oorschot, Angelique A.M. van, Anke M. Smits, Evangelia Pardali, Pieter A. Doevendans, & Marie‐José Goumans. (2011). Low oxygen tension positively influences cardiomyocyte progenitor cell function. Journal of Cellular and Molecular Medicine. 15(12). 2723–2734. 33 indexed citations
9.
Naber, Hildegonda P. H., Eliza Wiercinska, Evangelia Pardali, et al.. (2011). BMP-7 inhibits TGF-β-induced invasion of breast cancer cells through inhibition of integrin β3 expression. Cellular Oncology. 35(1). 19–28. 49 indexed citations
10.
Hawinkels, Lukas J.A.C., Patricia Kuiper, Eliza Wiercinska, et al.. (2010). Matrix Metalloproteinase-14 (MT1-MMP)–Mediated Endoglin Shedding Inhibits Tumor Angiogenesis. Cancer Research. 70(10). 4141–4150. 219 indexed citations
11.
Pardali, Evangelia, et al.. (2010). In Situ Proximity Ligation Detection of c-Jun/AP-1 Dimers Reveals Increased Levels of c-Jun/Fra1 Complexes in Aggressive Breast Cancer Cell Lines in Vitro and in Vivo. Molecular & Cellular Proteomics. 9(9). 1982–1990. 22 indexed citations
12.
Cunha, Sara I., Evangelia Pardali, Midory Thorikay, et al.. (2010). Genetic and pharmacological targeting of activin receptor-like kinase 1 impairs tumor growth and angiogenesis. The Journal of Experimental Medicine. 207(1). 85–100. 135 indexed citations
13.
Pardali, Evangelia, Daisy W.J. van der Schaft, Eliza Wiercinska, et al.. (2010). Critical role of endoglin in tumor cell plasticity of Ewing sarcoma and melanoma. Oncogene. 30(3). 334–345. 63 indexed citations
14.
Dijke, Peter ten, Marie‐José Goumans, & Evangelia Pardali. (2008). Endoglin in angiogenesis and vascular diseases. Angiogenesis. 11(1). 79–89. 264 indexed citations
15.
Naber, Hildegonda P. H., Peter ten Dijke, & Evangelia Pardali. (2008). Role of TGF- β in the Tumor Stroma. Current Cancer Drug Targets. 8(6). 466–472. 19 indexed citations
16.
Jönsson, Henrik, et al.. (2006). A Rate Equation Approach to Elucidate the Kinetics and Robustness of the TGF-β Pathway. Biophysical Journal. 91(12). 4368–4380. 41 indexed citations
17.
Speletas, Matthaios, Maria Kanariou, Efimia Papadopoulou‐Alataki, et al.. (2001). Analysis of Btk Mutations in Patients with X‐Linked Agammaglobulinaemia (XLA) and Determination of Carrier Status in Normal Female Relatives: a Nationwide Study of Btk Deficiency in Greece. Scandinavian Journal of Immunology. 54(3). 321–327. 15 indexed citations
18.
Hu, Yanzhong, Qiang Pan‐Hammarström, Evangelia Pardali, et al.. (2000). Regulation of Germline Promoters by the Two Human Ig Heavy Chain 3′ α Enhancers. The Journal of Immunology. 164(12). 6380–6386. 24 indexed citations
19.
Pardali, Evangelia, Xiaoqi Xie, Panagiotis Tsapogas, et al.. (2000). Smad and AML Proteins Synergistically Confer Transforming Growth Factor β1 Responsiveness to Human Germ-line IgA Genes. Journal of Biological Chemistry. 275(5). 3552–3560. 128 indexed citations
20.
Xie, Xiaoqi, et al.. (1999). AML and Ets proteins regulate the Iα1 germ-line promoter. European Journal of Immunology. 29(2). 488–498. 43 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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