Freya Vaeyens

733 total citations
19 papers, 483 citations indexed

About

Freya Vaeyens is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Freya Vaeyens has authored 19 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Oncology. Recurrent topics in Freya Vaeyens's work include Glioma Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Liver physiology and pathology (4 papers). Freya Vaeyens is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Liver physiology and pathology (4 papers). Freya Vaeyens collaborates with scholars based in Belgium, Sweden and United Kingdom. Freya Vaeyens's co-authors include Albert Geerts, Milos Pekny, Karine Hellemans, Erik Quartier, Toshiro Niki, Pieter De Bleser, Kit Van Den Berg, Camilla Eliasson, Anne Vankeerberghen and Hans De Beenhouwer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Freya Vaeyens

19 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Freya Vaeyens Belgium 9 219 204 146 138 50 19 483
Tümen Mansuroglu Germany 10 133 0.6× 75 0.4× 126 0.9× 145 1.1× 83 1.7× 14 395
Sophie Bérissi France 6 56 0.3× 88 0.4× 70 0.5× 159 1.2× 26 0.5× 7 396
Ilija Jeftić Serbia 9 53 0.2× 116 0.6× 97 0.7× 89 0.6× 37 0.7× 19 409
Hanbing Ning China 14 35 0.2× 85 0.4× 65 0.4× 247 1.8× 54 1.1× 25 499
Masaharu Ohta Japan 10 119 0.5× 72 0.4× 184 1.3× 180 1.3× 51 1.0× 23 532
Caroline Pope United Kingdom 7 202 0.9× 117 0.6× 106 0.7× 116 0.8× 23 0.5× 8 431
Jung‐Chin Chang Netherlands 11 115 0.5× 75 0.4× 111 0.8× 130 0.9× 62 1.2× 23 336
Toshihiro Kawai Japan 7 168 0.8× 94 0.5× 84 0.6× 37 0.3× 57 1.1× 19 360
David Malka France 8 48 0.2× 58 0.3× 188 1.3× 110 0.8× 142 2.8× 21 404
Gillian N. Fitz United States 10 75 0.3× 38 0.2× 111 0.8× 149 1.1× 72 1.4× 14 397

Countries citing papers authored by Freya Vaeyens

Since Specialization
Citations

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

Fields of papers citing papers by Freya Vaeyens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freya Vaeyens

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

All Works

19 of 19 papers shown
1.
Geeraerts, Xenia, Freya Vaeyens, Anne‐Marie Vanbinst, et al.. (2025). A phase I clinical trial on combined (neo-)adjuvant intravenous plus intracranial administration of ipilimumab and nivolumab in recurrent glioblastoma (NEO-GLITIPNI).. Journal of Clinical Oncology. 43(16_suppl). 2049–2049. 1 indexed citations
2.
Haar-Holleman, Amy de, et al.. (2024). Case report: A case of severe capecitabine toxicity due to confirmed in trans compound heterozygosity of a common and rare DPYD variant. Frontiers in Pharmacology. 15. 1459565–1459565. 1 indexed citations
3.
Duerinck, Johnny, Xenia Geeraerts, Freya Vaeyens, et al.. (2024). Intracranial administration of anti-PD-1 and anti-CTLA-4 immune checkpoint-blocking monoclonal antibodies in patients with recurrent high-grade glioma. Neuro-Oncology. 26(12). 2208–2221. 11 indexed citations
4.
5.
Maes, Ken, Isabelle Vande Broek, Freya Vaeyens, et al.. (2022). Liquid Biopsy-Derived DNA Sources as Tools for Comprehensive Mutation Profiling in Multiple Myeloma: A Comparative Study. Cancers. 14(19). 4901–4901. 5 indexed citations
6.
7.
Schwarze, Julia Katharina, Johnny Duerinck, Inès Dufait, et al.. (2020). A phase I clinical trial on intratumoral and intracavitary administration of ipilimumab and nivolumab in patients with recurrent glioblastoma.. Journal of Clinical Oncology. 38(15_suppl). 2534–2534. 8 indexed citations
8.
9.
Houspie, Lieselot, Philippe Lemey, Els Keyaerts, et al.. (2013). Circulation of HRSV in Belgium: From Multiple Genotype Circulation to Prolonged Circulation of Predominant Genotypes. PLoS ONE. 8(4). e60416–e60416. 35 indexed citations
10.
Vos, Nathalie De, Anne Vankeerberghen, Freya Vaeyens, et al.. (2009). Simultaneous detection of human bocavirus and adenovirus by multiplex real-time PCR in a Belgian paediatric population. European Journal of Clinical Microbiology & Infectious Diseases. 28(11). 1305–1310. 22 indexed citations
11.
Frémont, Marc, Freya Vaeyens, C.v. Herst, Kenny De Meirleir, & Patrick Englebienne. (2006). Antiviral Pathway Deregulation of Chronic Fatigue Syndrome Induces Nitric Oxide Production in Immune Cells That Precludes a Resolution of the Inflammatory Response. Journal of Chronic Fatigue Syndrome. 13(4). 17–28. 4 indexed citations
12.
Frémont, Marc, Freya Vaeyens, C.v. Herst, Kenny L. De Meirleir, & Patrick Englebienne. (2005). Double-stranded RNA-dependent protein kinase (PKR) is a stress-responsive kinase that induces NFκB-mediated resistance against mercury cytotoxicity. Life Sciences. 78(16). 1845–1856. 18 indexed citations
13.
Frémont, Marc, Karim El Bakkouri, Freya Vaeyens, et al.. (2005). 2′,5′-Oligoadenylate size is critical to protect RNase L against proteolytic cleavage in chronic fatigue syndrome. Experimental and Molecular Pathology. 78(3). 239–246. 12 indexed citations
14.
Geerts, Albert, et al.. (2001). Formation of Normal Desmin Intermediate Filaments in Mouse Hepatic Stellate Cells Requires Vimentin. Hepatology. 33(1). 177–188. 65 indexed citations
15.
Reynaert, Hendrik, Freya Vaeyens, Karine Hellemans, et al.. (2001). Somatostatin suppresses endothelin-1–induced rat hepatic stellate cell contraction via somatostatin receptor subtype 1. Gastroenterology. 121(4). 915–930. 56 indexed citations
16.
Englebienne, Patrick, Marc Frémont, Freya Vaeyens, et al.. (2001). Chronic fatigue Syndrome (CFS) and multiple sclerosis (MS) as subsets of a group of cellular immunity disorders.. VUBIR (Vrije Universiteit Brussel). 3 indexed citations
17.
Reynaert, Hendrik, Freya Vaeyens, Krista Rombouts, et al.. (2001). Effect of somatostatin-14 on extracellular matrix expression by activated rat hepatic stellate cells. Journal of Hepatology. 34. 6–6. 11 indexed citations
18.
Reynaert, Hendrik, et al.. (1999). Activated rat hepatic stellate cells express somatostatin receptor subtypes 1, 2 and 3. Hepatology. 4 indexed citations
19.
Niki, Toshiro, Milos Pekny, Karine Hellemans, et al.. (1999). Class Vi Intermediate Filament Protein Nestin Is Induced During Activation of Rat Hepatic Stellate Cells. Hepatology. 29(2). 520–527. 223 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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