Wim Maes

1.4k total citations
26 papers, 1.1k citations indexed

About

Wim Maes is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Wim Maes has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Wim Maes's work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Wim Maes is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Wim Maes collaborates with scholars based in Belgium, United States and Netherlands. Wim Maes's co-authors include Stefaan Van Gool, Steven De Vleeschouwer, Hilko Ardon, Tina Verschuere, Louis Boon, Bert Verbinnen, Jan Ceuppens, Stefaan W. Van Gool, Jan Goffin and Philippe Demaerel and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wim Maes

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Maes Belgium 17 575 437 352 309 92 26 1.1k
Jahan S. Khalili United States 16 865 1.5× 402 0.9× 448 1.3× 107 0.3× 28 0.3× 24 1.7k
Tsutomu Nakazawa Japan 18 678 1.2× 465 1.1× 463 1.3× 84 0.3× 101 1.1× 58 1.4k
Eva Maria Putz Austria 22 948 1.6× 736 1.7× 404 1.1× 100 0.3× 56 0.6× 40 1.5k
Pierre‐Yves Dumas France 13 705 1.2× 435 1.0× 329 0.9× 91 0.3× 70 0.8× 45 1.2k
Xian-Yang Li China 21 695 1.2× 565 1.3× 358 1.0× 67 0.2× 78 0.8× 37 1.3k
Frédéric Barabé Canada 20 348 0.6× 286 0.7× 732 2.1× 116 0.4× 28 0.3× 38 1.3k
Takayuki Ohkuri Japan 22 1.5k 2.5× 976 2.2× 583 1.7× 118 0.4× 88 1.0× 56 2.0k
Jean‐Sébastien Delisle Canada 18 564 1.0× 490 1.1× 339 1.0× 49 0.2× 47 0.5× 92 1.2k
Eva Sahakian United States 18 727 1.3× 838 1.9× 833 2.4× 167 0.5× 62 0.7× 66 1.7k
Kristen Fousek United States 11 431 0.7× 703 1.6× 298 0.8× 110 0.4× 198 2.2× 21 1.1k

Countries citing papers authored by Wim Maes

Since Specialization
Citations

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

Fields of papers citing papers by Wim Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Maes. A scholar is included among the top collaborators of Wim Maes 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 Wim Maes. Wim Maes 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.
Frans, Glynis, Jan Van Elslande, Louis Boon, et al.. (2023). Complementarity determining regions in SARS-CoV-2 hybrid immunity. Frontiers in Immunology. 14. 1050037–1050037.
2.
3.
Liénart, Stéphanie, Orian Bricard, Gitte De Boeck, et al.. (2020). Selective inhibition of TGF-β1 produced by GARP-expressing Tregs overcomes resistance to PD-1/PD-L1 blockade in cancer. Nature Communications. 11(1). 4545–4545. 104 indexed citations
4.
5.
Liénart, Stéphanie, Sophie Lucas, Awen Gallimore, et al.. (2018). Deletion of GARP on mouse regulatory T cells is not sufficient to inhibit the growth of transplanted tumors. Cellular Immunology. 332. 129–133. 10 indexed citations
6.
Denorme, Frederik, Wim Maes, Simon F. De Meyer, et al.. (2017). The role of platelet and endothelial GARP in thrombosis and hemostasis. PLoS ONE. 12(3). e0173329–e0173329. 25 indexed citations
7.
Verbinnen, Bert, et al.. (2013). Foxp3+ regulatory T cells are activated in spite of B7‐CD28 and CD40‐CD40L blockade. European Journal of Immunology. 43(4). 1013–1023. 25 indexed citations
8.
Verschuere, Tina, Jaan Toelen, Wim Maes, et al.. (2013). Glioma‐derived galectin‐1 regulates innate and adaptive antitumor immunity. International Journal of Cancer. 134(4). 873–884. 72 indexed citations
9.
Ardon, Hilko, Stefaan W. Van Gool, Tina Verschuere, et al.. (2012). Integration of autologous dendritic cell-based immunotherapy in the standard of care treatment for patients with newly diagnosed glioblastoma: results of the HGG-2006 phase I/II trial. Cancer Immunology Immunotherapy. 61(11). 2033–2044. 124 indexed citations
10.
Vets, Sofie, Janine Kimpel, Andreas Volk, et al.. (2012). Lens Epithelium-derived Growth Factor/p75 Qualifies as a Target for HIV Gene Therapy in the NSG Mouse Model. Molecular Therapy. 20(5). 908–917. 13 indexed citations
11.
Ardon, Hilko, Stefaan Van Gool, Wim Maes, et al.. (2010). Integration of autologous dendritic cell-based immunotherapy in the primary treatment for patients with newly diagnosed glioblastoma multiforme: a pilot study. Journal of Neuro-Oncology. 99(2). 261–272. 115 indexed citations
12.
Maes, Wim & Stefaan Van Gool. (2010). Experimental immunotherapy for malignant glioma: lessons from two decades of research in the GL261 model. Cancer Immunology Immunotherapy. 60(2). 153–160. 83 indexed citations
13.
Galicia, Georgina, Wim Maes, Bert Verbinnen, et al.. (2009). Haptoglobin deficiency facilitates the development of autoimmune inflammation. European Journal of Immunology. 39(12). 3404–3412. 32 indexed citations
14.
Maes, Wim, Georgina Galicia, Bert Verbinnen, et al.. (2009). DC vaccination with anti-CD25 treatment leads to long-term immunity against experimental glioma. Neuro-Oncology. 11(5). 529–542. 85 indexed citations
15.
Gool, Stefaan Van, Wim Maes, Hilko Ardon, et al.. (2009). Dendritic Cell Therapy of High‐Grade Gliomas. Brain Pathology. 19(4). 694–712. 66 indexed citations
16.
Ardon, Hilko, Bert Verbinnen, Wim Maes, et al.. (2009). Technical advancement in regulatory T cell isolation and characterization using CD127 expression in patients with malignant glioma treated with autologous dendritic cell vaccination. Journal of Immunological Methods. 352(1-2). 169–173. 23 indexed citations
17.
Maes, Wim, Thomas Heyman, Lieven Desmet, & Wouter Joosen. (2009). Browser protection against cross-site request forgery. Lirias (KU Leuven). 3–10. 11 indexed citations
18.
Maes, Wim, Christophe M. Deroose, Veerle Reumers, et al.. (2008). In vivo bioluminescence imaging in an experimental mouse model for dendritic cell based immunotherapy against malignant glioma. Journal of Neuro-Oncology. 91(2). 127–139. 33 indexed citations
19.
Coosemans, An, Philippe Moerman, Godelieve Verbist, et al.. (2008). Wilms' tumor gene 1 (WT1) in endometrial carcinoma. Gynecologic Oncology. 111(3). 502–508. 25 indexed citations
20.
Maes, Wim, John Van Camp, Vanessa Vermeirssen, et al.. (2004). Influence of the lactokinin Ala-Leu-Pro-Met-His-Ile-Arg (ALPMHIR) on the release of endothelin-1 by endothelial cells. Regulatory Peptides. 118(1-2). 105–109. 84 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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