Sonja Vermeren

2.4k total citations · 1 hit paper
28 papers, 1.5k citations indexed

About

Sonja Vermeren is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Sonja Vermeren has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 12 papers in Immunology and Allergy and 11 papers in Molecular Biology. Recurrent topics in Sonja Vermeren's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (18 papers), Cell Adhesion Molecules Research (12 papers) and Immune Response and Inflammation (6 papers). Sonja Vermeren is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (18 papers), Cell Adhesion Molecules Research (12 papers) and Immune Response and Inflammation (6 papers). Sonja Vermeren collaborates with scholars based in United Kingdom, United States and France. Sonja Vermeren's co-authors include Laure Gambardella, Enrique Zudaire, Utsa Karmakar, Adriano G. Rossi, Ian Dransfield, Matthieu Vermeren, Karen E. Anderson, Rodger Duffin, C Bénézech and Myriam Hemberger and has published in prestigious journals such as Nature Communications, Blood and Immunity.

In The Last Decade

Sonja Vermeren

27 papers receiving 1.5k citations

Hit Papers

A Computational Tool for ... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Vermeren United Kingdom 17 605 421 181 157 155 28 1.5k
Claudia Korn Germany 21 859 1.4× 413 1.0× 90 0.5× 146 0.9× 166 1.1× 31 2.0k
Leni Moldovan United States 22 1.5k 2.4× 402 1.0× 209 1.2× 88 0.6× 141 0.9× 51 2.3k
Manae S. Kurokawa Japan 23 785 1.3× 361 0.9× 30 0.2× 205 1.3× 118 0.8× 82 1.8k
Ramiro Iglesias‐Bartolomé United States 21 1.1k 1.8× 226 0.5× 77 0.4× 162 1.0× 586 3.8× 39 1.9k
Mario C. Rico United States 20 602 1.0× 178 0.4× 55 0.3× 48 0.3× 108 0.7× 42 1.3k
Manimalha Balasubramani United States 21 790 1.3× 72 0.2× 230 1.3× 135 0.9× 412 2.7× 29 1.9k
Bo Guo China 31 1.4k 2.3× 657 1.6× 163 0.9× 157 1.0× 93 0.6× 86 2.7k
Alexander G. Marneros United States 22 980 1.6× 276 0.7× 56 0.3× 696 4.4× 255 1.6× 45 2.3k
Volker Spindler Germany 35 896 1.5× 329 0.8× 47 0.3× 39 0.2× 502 3.2× 70 2.7k
Martin S. Kluger United States 23 718 1.2× 450 1.1× 187 1.0× 22 0.1× 115 0.7× 27 1.5k

Countries citing papers authored by Sonja Vermeren

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Vermeren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Vermeren

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Vermeren. A scholar is included among the top collaborators of Sonja Vermeren 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 Sonja Vermeren. Sonja Vermeren 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.
Hardisty, Gareth, Utsa Karmakar, Christopher D. Lucas, et al.. (2024). ARAP3 protects from excessive formylated peptide‐induced microvascular leakage by acting on endothelial cells and neutrophils. The Journal of Pathology. 263(3). 347–359. 1 indexed citations
2.
Vermeren, Sonja, Véronique E. Miron, Sarah Dimeloe, et al.. (2024). Proteomic analysis reveals dysregulation of peripheral blood neutrophils in patients with Multiple Sclerosis. Clinical & Experimental Immunology. 219(1).
3.
Robb, Calum T., You Zhou, Jennifer M. Felton, et al.. (2022). Metabolic regulation by prostaglandin E 2 impairs lung group 2 innate lymphoid cell responses. Allergy. 78(3). 714–730. 10 indexed citations
4.
Karmakar, Utsa & Sonja Vermeren. (2021). Crosstalk between B cells and neutrophils in rheumatoid arthritis. Immunology. 164(4). 689–700. 51 indexed citations
5.
Karmakar, Utsa, et al.. (2021). Immune complex-induced apoptosis and concurrent immune complex clearance are anti-inflammatory neutrophil functions. Cell Death and Disease. 12(4). 296–296. 17 indexed citations
6.
Anderson, Karen E., Utsa Karmakar, Matthieu Vermeren, et al.. (2021). The 5-Phosphatase SHIP2 Promotes Neutrophil Chemotaxis and Recruitment. Frontiers in Immunology. 12. 671756–671756. 8 indexed citations
7.
Jackson‐Jones, Lucy H., Peter Smith, Jordan R. Portman, et al.. (2020). Stromal Cells Covering Omental Fat-Associated Lymphoid Clusters Trigger Formation of Neutrophil Aggregates to Capture Peritoneal Contaminants. Immunity. 52(4). 700–715.e6. 62 indexed citations
8.
Morandi, Elena, et al.. (2020). Vitamin D/CD46 Crosstalk in Human T Cells in Multiple Sclerosis. Frontiers in Immunology. 11. 598727–598727. 9 indexed citations
9.
Barth, Nicole D., Ramon Subirós‐Funosas, Lorena Mendive‐Tapia, et al.. (2020). A fluorogenic cyclic peptide for imaging and quantification of drug-induced apoptosis. Nature Communications. 11(1). 4027–4027. 59 indexed citations
10.
Vermeren, Sonja, et al.. (2018). HoxB8 neutrophils replicate Fcγ receptor and integrin-induced neutrophil signaling and functions. Journal of Leukocyte Biology. 105(1). 93–100. 15 indexed citations
11.
Felton, Jennifer M., Christopher D. Lucas, David A. Dorward, et al.. (2018). Mer-mediated eosinophil efferocytosis regulates resolution of allergic airway inflammation. Journal of Allergy and Clinical Immunology. 142(6). 1884–1893.e6. 31 indexed citations
12.
Vermeren, Sonja, Utsa Karmakar, & Adriano G. Rossi. (2018). Immune complex‐induced neutrophil functions: A focus on cell death. European Journal of Clinical Investigation. 48(S2). e12948–e12948. 14 indexed citations
13.
Thomas, J., Anna Williams, Matthieu Vermeren, et al.. (2017). TCR-stimulated changes in cell surface CD46 expression generate type 1 regulatory T cells. Science Signaling. 10(502). 26 indexed citations
14.
Vermeren, Sonja, et al.. (2016). PTPN22 Is a Critical Regulator of Fcγ Receptor–Mediated Neutrophil Activation. The Journal of Immunology. 197(12). 4771–4779. 30 indexed citations
15.
Dransfield, Ian, et al.. (2016). Non-canonical PI3K-Cdc42-Pak-Mek-Erk Signaling Promotes Immune-Complex-Induced Apoptosis in Human Neutrophils. Cell Reports. 17(2). 374–386. 30 indexed citations
16.
Jiang, Jing, et al.. (2014). ARAP3 Functions in Hematopoietic Stem Cells. PLoS ONE. 9(12). e116107–e116107. 2 indexed citations
17.
Gambardella, Laure & Sonja Vermeren. (2013). Molecular players in neutrophil chemotaxis—focus on PI3K and small GTPases. Journal of Leukocyte Biology. 94(4). 603–612. 60 indexed citations
18.
Bower, Neil I., Tara Karnezis, Jan Kazenwadel, et al.. (2013). Arap3 is dysregulated in a mouse model of hypotrichosis–lymphedema–telangiectasia and regulates lymphatic vascular development. Human Molecular Genetics. 23(5). 1286–1297. 26 indexed citations
19.
Zudaire, Enrique, et al.. (2011). A Computational Tool for Quantitative Analysis of Vascular Networks. PLoS ONE. 6(11). e27385–e27385. 796 indexed citations breakdown →
20.
Coadwell, John, et al.. (2009). ARAP3 binding to phosphatidylinositol-(3,4,5)-trisphosphate depends on N-terminal tandem PH domains and adjacent sequences. Cellular Signalling. 22(2). 257–264. 13 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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