Chiara Angiolilli

901 total citations
16 papers, 512 citations indexed

About

Chiara Angiolilli is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Chiara Angiolilli has authored 16 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Chiara Angiolilli's work include Histone Deacetylase Inhibitors Research (5 papers), Immunotherapy and Immune Responses (4 papers) and Protein Degradation and Inhibitors (3 papers). Chiara Angiolilli is often cited by papers focused on Histone Deacetylase Inhibitors Research (5 papers), Immunotherapy and Immune Responses (4 papers) and Protein Degradation and Inhibitors (3 papers). Chiara Angiolilli collaborates with scholars based in Netherlands, United Kingdom and Italy. Chiara Angiolilli's co-authors include Kris A. Reedquist, Timothy R. D. J. Radstake, Dominique Baeten, Aleksander M. Grabiec, Paul P. Tak, Maarten van der Kroef, Eleni Chouri, Timothy A. McKinsey, Beatriz Fernández and Bradley S. Ferguson and has published in prestigious journals such as Frontiers in Immunology, Annals of the Rheumatic Diseases and Journal of Investigative Dermatology.

In The Last Decade

Chiara Angiolilli

16 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Angiolilli Netherlands 11 252 172 108 103 78 16 512
F. Moritz Germany 7 289 1.1× 136 0.8× 84 0.8× 139 1.3× 87 1.1× 16 519
Valérie Dessirier France 12 157 0.6× 158 0.9× 63 0.6× 55 0.5× 125 1.6× 14 528
Barbara Wysoczańska Poland 13 235 0.9× 242 1.4× 88 0.8× 46 0.4× 105 1.3× 28 654
Xiangning Qiu China 9 415 1.6× 227 1.3× 138 1.3× 50 0.5× 64 0.8× 24 700
Stephan Kreher Germany 15 174 0.7× 251 1.5× 56 0.5× 216 2.1× 160 2.1× 26 700
Daniel Torres‐Moreno Spain 12 114 0.5× 97 0.6× 64 0.6× 89 0.9× 112 1.4× 24 399
Silvana Compasso Italy 10 161 0.6× 132 0.8× 86 0.8× 92 0.9× 103 1.3× 10 489
Masayasu Kitano Japan 13 288 1.1× 119 0.7× 154 1.4× 47 0.5× 102 1.3× 33 589
Nathan D. Chamberlain United States 10 177 0.7× 359 2.1× 209 1.9× 44 0.4× 214 2.7× 10 644
Elina Tan United States 9 233 0.9× 286 1.7× 223 2.1× 82 0.8× 47 0.6× 17 699

Countries citing papers authored by Chiara Angiolilli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Angiolilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Angiolilli

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

All Works

16 of 16 papers shown
1.
2.
Angiolilli, Chiara, Emmerik F A Leijten, Cornelis P. J. Bekker, et al.. (2021). ZFP36 Family Members Regulate the Proinflammatory Features of Psoriatic Dermal Fibroblasts. Journal of Investigative Dermatology. 142(2). 402–413. 24 indexed citations
3.
Chouri, Eleni, Maojie Wang, Maarten R. Hillen, et al.. (2021). Implication of miR-126 and miR-139-5p in Plasmacytoid Dendritic Cell Dysregulation in Systemic Sclerosis. Journal of Clinical Medicine. 10(3). 491–491. 23 indexed citations
4.
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
5.
Kroef, Maarten van der, Tiago Carvalheiro, Marzia Rossato, et al.. (2020). CXCL4 triggers monocytes and macrophages to produce PDGF-BB, culminating in fibroblast activation: Implications for systemic sclerosis. Journal of Autoimmunity. 111. 102444–102444. 32 indexed citations
6.
Angiolilli, Chiara, et al.. (2020). AB0062 CHARACTERIZATION OF IL-12 AND IL-23 REDUCTION BY TOFACITINIB IN MDCS. Annals of the Rheumatic Diseases. 79. 1332–1333. 1 indexed citations
7.
Silva‐Cardoso, Sandra C., Cornelis P. J. Bekker, Marianne Boes, Timothy R. D. J. Radstake, & Chiara Angiolilli. (2019). CXCL4 is a driver of cytokine mRNA stability in monocyte-derived dendritic cells. Molecular Immunology. 114. 524–534. 9 indexed citations
8.
Angiolilli, Chiara, Pawel A. Kabala, Aleksander M. Grabiec, et al.. (2018). Control of cytokine mRNA degradation by the histone deacetylase inhibitor ITF2357 in rheumatoid arthritis fibroblast-like synoviocytes: beyond transcriptional regulation. Arthritis Research & Therapy. 20(1). 148–148. 23 indexed citations
9.
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
10.
Kabala, Pawel A., Chiara Angiolilli, Nataliya Yeremenko, et al.. (2017). Endoplasmic reticulum stress cooperates with Toll-like receptor ligation in driving activation of rheumatoid arthritis fibroblast-like synoviocytes. Arthritis Research & Therapy. 19(1). 207–207. 26 indexed citations
11.
Angiolilli, Chiara, Dominique Baeten, Timothy R. D. J. Radstake, & Kris A. Reedquist. (2017). The Acetyl Code in Rheumatoid Arthritis and Other Rheumatic Diseases. Epigenomics. 9(4). 447–461. 28 indexed citations
12.
Angiolilli, Chiara, Pawel A. Kabala, Aleksander M. Grabiec, et al.. (2016). Histone deacetylase 3 regulates the inflammatory gene expression programme of rheumatoid arthritis fibroblast-like synoviocytes. Annals of the Rheumatic Diseases. 76(1). 277–285. 115 indexed citations
13.
Grabiec, Aleksander M., Chiara Angiolilli, Linda M. Hartkamp, et al.. (2014). JNK-dependent downregulation of FoxO1 is required to promote the survival of fibroblast-like synoviocytes in rheumatoid arthritis. Annals of the Rheumatic Diseases. 74(9). 1763–1771. 46 indexed citations
14.
Angiolilli, Chiara, Aleksander M. Grabiec, Bradley S. Ferguson, et al.. (2014). Inflammatory cytokines epigenetically regulate rheumatoid arthritis fibroblast-like synoviocyte activation by suppressing HDAC5 expression. Annals of the Rheumatic Diseases. 75(2). 430–438. 68 indexed citations
15.
Angiolilli, Chiara, Aleksander M. Grabiec, P. P. Tak, Dominique Baeten, & Kris A. Reedquist. (2014). THU0461 Class I and Class II Hdacs Make Distinct Contributions to the Inflammatory Activation of Rheumatoid Arthritis Fibroblast-Like Synoviocytes. Annals of the Rheumatic Diseases. 73. 343–343. 1 indexed citations
16.
Angiolilli, Chiara, Aleksander M. Grabiec, Bradley S. Ferguson, et al.. (2014). A1.20 HDAC5 regulates CXCL chemokine expression in RA FLS via the transcription factor IRF1. Annals of the Rheumatic Diseases. 73. A8–A8. 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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