Wioleta Marut

897 total citations
17 papers, 420 citations indexed

About

Wioleta Marut is a scholar working on Pathology and Forensic Medicine, Immunology and Dermatology. According to data from OpenAlex, Wioleta Marut has authored 17 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 11 papers in Immunology and 3 papers in Dermatology. Recurrent topics in Wioleta Marut's work include Systemic Sclerosis and Related Diseases (11 papers), Mast cells and histamine (5 papers) and Immune Response and Inflammation (2 papers). Wioleta Marut is often cited by papers focused on Systemic Sclerosis and Related Diseases (11 papers), Mast cells and histamine (5 papers) and Immune Response and Inflammation (2 papers). Wioleta Marut collaborates with scholars based in Netherlands, Italy and Spain. Wioleta Marut's co-authors include Timothy R. D. J. Radstake, Alsya J. Affandi, Tiago Carvalheiro, Samuel García, Kris A. Reedquist, Maarten van der Kroef, Eleni Chouri, Chiara Angiolilli, Barbara Giovannone and Maili Zimmermann and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Wioleta Marut

16 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wioleta Marut Netherlands 13 187 183 107 64 58 17 420
Maarten van der Kroef Netherlands 10 145 0.8× 140 0.8× 145 1.4× 42 0.7× 37 0.6× 13 358
Tatjana Mallano Germany 6 188 1.0× 100 0.5× 206 1.9× 138 2.2× 67 1.2× 7 528
Debomita Chakraborty Germany 4 109 0.6× 78 0.4× 121 1.1× 93 1.5× 38 0.7× 4 385
Stephan Kreher Germany 15 216 1.2× 251 1.4× 174 1.6× 37 0.6× 64 1.1× 26 700
Taiji Nakashima Japan 9 151 0.8× 102 0.6× 135 1.3× 65 1.0× 74 1.3× 13 433
Hideo Kudo Japan 11 113 0.6× 83 0.5× 154 1.4× 38 0.6× 53 0.9× 24 342
Thomas Wohlfahrt Germany 7 92 0.5× 95 0.5× 125 1.2× 72 1.1× 37 0.6× 11 382
Emi Nishimagi Japan 8 218 1.2× 120 0.7× 88 0.8× 48 0.8× 81 1.4× 13 360
Sonia Pezet France 10 234 1.3× 103 0.6× 114 1.1× 208 3.3× 53 0.9× 13 456
Thuong Trinh‐Minh Germany 9 81 0.4× 77 0.4× 147 1.4× 61 1.0× 41 0.7× 19 311

Countries citing papers authored by Wioleta Marut

Since Specialization
Citations

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

Fields of papers citing papers by Wioleta Marut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wioleta Marut

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

All Works

17 of 17 papers shown
1.
Carvalheiro, Tiago, Wioleta Marut, M Inês Pascoal Ramos, et al.. (2024). Impaired LAIR-1-mediated immune control due to collagen degradation in fibrosis. Journal of Autoimmunity. 146. 103219–103219. 2 indexed citations
2.
Carvalheiro, Tiago, Samuel García, M Inês Pascoal Ramos, et al.. (2020). Leukocyte Associated Immunoglobulin Like Receptor 1 Regulation and Function on Monocytes and Dendritic Cells During Inflammation. Frontiers in Immunology. 11. 1793–1793. 43 indexed citations
3.
Silva‐Cardoso, Sandra C., Weiyang Tao, Chiara Angiolilli, et al.. (2020). CXCL4 Links Inflammation and Fibrosis by Reprogramming Monocyte-Derived Dendritic Cells in vitro. Frontiers in Immunology. 11. 2149–2149. 35 indexed citations
4.
Ottria, Andrea, A. Hoekstra, Maili Zimmermann, et al.. (2020). Fatty Acid and Carnitine Metabolism Are Dysregulated in Systemic Sclerosis Patients. Frontiers in Immunology. 11. 822–822. 28 indexed citations
5.
Carvalheiro, Tiago, Maili Zimmermann, Timothy R. D. J. Radstake, & Wioleta Marut. (2020). Novel insights into dendritic cells in the pathogenesis of systemic sclerosis. Clinical & Experimental Immunology. 201(1). 25–33. 29 indexed citations
6.
Carvalheiro, Tiago, Ana P. Lopes, Maarten van der Kroef, et al.. (2020). Angiopoietin-2 Promotes Inflammatory Activation in Monocytes of Systemic Sclerosis Patients. International Journal of Molecular Sciences. 21(24). 9544–9544. 11 indexed citations
7.
Mertens, Jorre S., E.M.G.J. de Jong, Lucas L. van den Hoogen, et al.. (2019). The identification of CCL18 as biomarker of disease activity in localized scleroderma. Journal of Autoimmunity. 101. 86–93. 21 indexed citations
8.
Affandi, Alsya J., Tiago Carvalheiro, Andrea Ottria, et al.. (2019). Low RUNX3 expression alters dendritic cell function in patients with systemic sclerosis and contributes to enhanced fibrosis. Annals of the Rheumatic Diseases. 78(9). 1249–1259. 20 indexed citations
9.
Carvalheiro, Tiago, Alsya J. Affandi, Marta Cossu, et al.. (2019). Induction of Inflammation and Fibrosis by Semaphorin 4A in Systemic Sclerosis. Arthritis & Rheumatology. 71(10). 1711–1722. 13 indexed citations
10.
Carvalheiro, Tiago, Beatriz Fernández, Andrea Ottria, et al.. (2019). Extracellular SPARC cooperates with TGF-β signalling to induce pro-fibrotic activation of systemic sclerosis patient dermal fibroblasts. Lara D. Veeken. 59(9). 2258–2263. 20 indexed citations
11.
Angiolilli, Chiara, Wioleta Marut, Maarten van der Kroef, et al.. (2018). New insights into the genetics and epigenetics of systemic sclerosis. Nature Reviews Rheumatology. 14(11). 657–673. 70 indexed citations
12.
Paardekooper, Laurent M., Andrea Ottria, Martin ter Beest, et al.. (2018). Hypoxia potentiates monocyte-derived dendritic cells for release of tumor necrosis factor α via MAP3K8. Bioscience Reports. 38(6). 28 indexed citations
13.
Affandi, Alsya J., Tiago Carvalheiro, Timothy R. D. J. Radstake, & Wioleta Marut. (2017). Dendritic cells in systemic sclerosis: Advances from human and mice studies. Immunology Letters. 195. 18–29. 23 indexed citations
14.
Affandi, Alsya J., Sandra C. Silva‐Cardoso, Samuel García, et al.. (2017). CXCL4 is a novel inducer of human Th17 cells and correlates with IL‐17 and IL‐22 in psoriatic arthritis. European Journal of Immunology. 48(3). 522–531. 28 indexed citations
15.
Marut, Wioleta, et al.. (2017). AB0165 CXCL4 may play a key role in systemic sclerosis by driving CD4 T cells to produce IL-17. Annals of the Rheumatic Diseases. 76. 1104–1104. 2 indexed citations
16.
Affandi, Alsya J., Timothy R. D. J. Radstake, & Wioleta Marut. (2015). Update on biomarkers in systemic sclerosis: tools for diagnosis and treatment. Seminars in Immunopathology. 37(5). 475–487. 45 indexed citations
17.
Jamier, Vincent, Wioleta Marut, Sandrine Chouzenoux, et al.. (2014). Chalcone-Coumarin derivatives as potential anti-cancer drugs: an in vitro and in vivo investigation. HAL (Le Centre pour la Communication Scientifique Directe). 2 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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