Sofie De Prijck

7.6k total citations · 4 hit papers
15 papers, 3.2k citations indexed

About

Sofie De Prijck is a scholar working on Immunology, Oncology and Neurology. According to data from OpenAlex, Sofie De Prijck has authored 15 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 3 papers in Oncology and 3 papers in Neurology. Recurrent topics in Sofie De Prijck's work include Immune cells in cancer (8 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (5 papers). Sofie De Prijck is often cited by papers focused on Immune cells in cancer (8 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (5 papers). Sofie De Prijck collaborates with scholars based in Belgium, Netherlands and United Kingdom. Sofie De Prijck's co-authors include Martin Guilliams, Bart N. Lambrecht, Yvan Saeys, Charlotte L. Scott, Liesbet Martens, Hamida Hammad, Kim Deswarte, S. Post, Bernard Malissen and Leen Vanhoutte and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Nature Neuroscience.

In The Last Decade

Sofie De Prijck

15 papers receiving 3.2k citations

Hit Papers

Alveolar macrophages develop from fetal monocytes that di... 2013 2026 2017 2021 2013 2019 2016 2016 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
Sofie De Prijck Belgium 13 2.0k 831 737 446 407 15 3.2k
Yonit Lavin United States 9 2.3k 1.1× 1.0k 1.2× 660 0.9× 247 0.6× 266 0.7× 12 3.3k
Liesbet Martens Belgium 17 1.8k 0.9× 930 1.1× 689 0.9× 179 0.4× 439 1.1× 24 3.0k
Diana Varol Israel 9 2.2k 1.1× 772 0.9× 1.2k 1.7× 206 0.5× 281 0.7× 9 3.2k
Mathieu-Benoı̂t Voisin United Kingdom 25 1.6k 0.8× 1.1k 1.3× 405 0.5× 214 0.5× 302 0.7× 33 3.4k
Lucile Crozet France 13 2.4k 1.2× 1.0k 1.2× 648 0.9× 341 0.8× 299 0.7× 15 3.7k
Emanuele Azzoni Italy 14 1.2k 0.6× 1.0k 1.2× 514 0.7× 202 0.5× 215 0.5× 24 2.5k
Anna E. Beaudin United States 19 1.5k 0.8× 1.2k 1.4× 372 0.5× 252 0.6× 230 0.6× 36 3.2k
Abigail Woodfin United Kingdom 19 1.2k 0.6× 919 1.1× 335 0.5× 194 0.4× 174 0.4× 24 2.6k
Shunsei Hirohata Japan 39 1.9k 0.9× 674 0.8× 233 0.3× 700 1.6× 483 1.2× 211 5.2k
Laurent Chorro United States 12 1.9k 0.9× 562 0.7× 693 0.9× 130 0.3× 213 0.5× 15 2.6k

Countries citing papers authored by Sofie De Prijck

Since Specialization
Citations

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

Fields of papers citing papers by Sofie De Prijck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofie De Prijck. 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 Sofie De Prijck. The network helps show where Sofie De Prijck may publish in the future.

Co-authorship network of co-authors of Sofie De Prijck

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

All Works

15 of 15 papers shown
1.
Maes, Bastiaan, Farzaneh Fayazpour, Leen Catrysse, et al.. (2023). STE20 kinase TAOK3 regulates type 2 immunity and metabolism in obesity. The Journal of Experimental Medicine. 220(9). 1 indexed citations
2.
Vandamme, Niels, Joachim Taminau, Gillian Blancke, et al.. (2022). Distinct Transcriptional Programs in Ascitic and Solid Cancer Cells Induce Different Responses to Chemotherapy in High-Grade Serous Ovarian Cancer. Molecular Cancer Research. 20(10). 1532–1547. 13 indexed citations
3.
Bosteels, Cédric, Kaat Fierens, Sofie De Prijck, et al.. (2021). CCR2- and Flt3-Dependent Inflammatory Conventional Type 2 Dendritic Cells Are Necessary for the Induction of Adaptive Immunity by the Human Vaccine Adjuvant System AS01. Frontiers in Immunology. 11. 606805–606805. 29 indexed citations
4.
Maes, Bastiaan, Ursula Smole, Matthias Vanderkerken, et al.. (2021). The STE20 kinase TAOK3 controls the development of house dust mite–induced asthma in mice. Journal of Allergy and Clinical Immunology. 149(4). 1413–1427.e2. 10 indexed citations
5.
Ydens, Elke, Lukas Amann, Bob Asselbergh, et al.. (2020). Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury. Nature Neuroscience. 23(5). 676–689. 163 indexed citations
6.
Hove, Hannah Van, Liesbet Martens, Isabelle Scheyltjens, et al.. (2019). A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment. Nature Neuroscience. 22(6). 1021–1035. 624 indexed citations breakdown →
7.
Vetters, Jessica, Mary J. van Helden, Simon J. Tavernier, et al.. (2019). The ubiquitin-editing enzyme A20 controls NK cell homeostasis through regulation of mTOR activity and TNF. The Journal of Experimental Medicine. 216(9). 2010–2023. 16 indexed citations
8.
Helden, Mary J. van, Kim Deswarte, Sofie De Prijck, et al.. (2018). Role of NKp46 + natural killer cells in house dust mite‐driven asthma. EMBO Molecular Medicine. 10(4). 20 indexed citations
9.
Borght, Katrien Van der, Charlotte L. Scott, Veronika Nindl, et al.. (2017). Myocardial Infarction Primes Autoreactive T Cells through Activation of Dendritic Cells. Cell Reports. 18(12). 3005–3017. 93 indexed citations
10.
Laar, Lianne van de, Wouter Saelens, Sofie De Prijck, et al.. (2016). Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages. Immunity. 44(4). 755–768. 441 indexed citations breakdown →
11.
Scott, Charlotte L., Fang Zheng, Patrick De Baetselier, et al.. (2016). Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells. Nature Communications. 7(1). 10321–10321. 605 indexed citations breakdown →
12.
Everaert, Celine, Nancy De Cabooter, Kim Deswarte, et al.. (2016). The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome. OncoImmunology. 6(1). e1253655–e1253655. 52 indexed citations
13.
Williams, Gareth R., Kaat Fierens, Stephen G. Preston, et al.. (2014). Immunity induced by a broad class of inorganic crystalline materials is directly controlled by their chemistry. The Journal of Experimental Medicine. 211(6). 1019–1025. 39 indexed citations
14.
Guilliams, Martin, Ismé de Kleer, Sandrine Henri, et al.. (2013). Alveolar macrophages develop from fetal monocytes that differentiate into long-lived cells in the first week of life via GM-CSF. The Journal of Experimental Medicine. 210(10). 1977–1992. 875 indexed citations breakdown →
15.
Kool, Mirjam, Geert Loo, Wim Waelput, et al.. (2011). The Ubiquitin-Editing Protein A20 Prevents Dendritic Cell Activation, Recognition of Apoptotic Cells, and Systemic Autoimmunity. Immunity. 35(1). 82–96. 211 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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