Jochen Belmans

800 total citations
8 papers, 648 citations indexed

About

Jochen Belmans is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Jochen Belmans has authored 8 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Jochen Belmans's work include Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). Jochen Belmans is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). Jochen Belmans collaborates with scholars based in Belgium, Germany and Netherlands. Jochen Belmans's co-authors include Matthias Van Woensel, Stefaan Van Gool, Lien Vandenberk, Steven De Vleeschouwer, Patrizia Agostinis, Abhishek D. Garg, Dominique Bullens, Laura Van Gerven, Brecht Steelant and Guy E. Boeckxstaens and has published in prestigious journals such as Scientific Reports, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

In The Last Decade

Jochen Belmans

8 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Belmans Belgium 8 283 164 157 140 138 8 648
Erich Bünemann Germany 6 593 2.1× 98 0.6× 115 0.7× 106 0.8× 218 1.6× 7 972
Olav Schreurs Norway 15 139 0.5× 102 0.6× 164 1.0× 68 0.5× 89 0.6× 39 597
D. Van Epps United States 10 257 0.9× 75 0.5× 164 1.0× 64 0.5× 210 1.5× 12 806
Günter Michel Germany 15 206 0.7× 75 0.5× 199 1.3× 46 0.3× 96 0.7× 24 635
K. Matsumoto Japan 13 459 1.6× 286 1.7× 214 1.4× 265 1.9× 37 0.3× 28 892
Nick Di Girolamo Australia 15 147 0.5× 73 0.4× 169 1.1× 37 0.3× 36 0.3× 24 754
Xiaoran Wang China 19 94 0.3× 40 0.2× 309 2.0× 27 0.2× 61 0.4× 58 915
Ashley Cornett United States 10 66 0.2× 83 0.5× 209 1.3× 68 0.5× 71 0.5× 17 815
Fethi Louafi United Kingdom 7 311 1.1× 83 0.5× 385 2.5× 28 0.2× 47 0.3× 7 806
Chih‐Hung Shu Taiwan 15 45 0.2× 109 0.7× 206 1.3× 36 0.3× 422 3.1× 32 892

Countries citing papers authored by Jochen Belmans

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Belmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Belmans

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

All Works

8 of 8 papers shown
1.
Woensel, Matthias Van, Thomas Mathivet, Nathalie Wauthoz, et al.. (2017). Sensitization of glioblastoma tumor micro-environment to chemo- and immunotherapy by Galectin-1 intranasal knock-down strategy. Scientific Reports. 7(1). 1217–1217. 114 indexed citations
2.
Mathivet, Thomas, Claire Bouleti, Matthias Van Woensel, et al.. (2017). Dynamic stroma reorganization drives blood vessel dysmorphia during glioma growth. EMBO Molecular Medicine. 9(12). 1629–1645. 47 indexed citations
3.
Belmans, Jochen, et al.. (2017). Immunotherapy with subcutaneous immunogenic autologous tumor lysate increases murine glioblastoma survival. Scientific Reports. 7(1). 13902–13902. 16 indexed citations
4.
Garg, Abhishek D., Lien Vandenberk, Matthias Van Woensel, et al.. (2017). Preclinical efficacy of immune-checkpoint monotherapy does not recapitulate corresponding biomarkers-based clinical predictions in glioblastoma. OncoImmunology. 6(4). e1295903–e1295903. 63 indexed citations
5.
Steelant, Brecht, Ricard Farré, Paulina Wawrzyniak, et al.. (2016). Impaired barrier function in patients with house dust mite–induced allergic rhinitis is accompanied by decreased occludin and zonula occludens-1 expression. Journal of Allergy and Clinical Immunology. 137(4). 1043–1053.e5. 253 indexed citations
6.
Vandenberk, Lien, Jochen Belmans, Matthias Van Woensel, Mattéo Riva, & Stefaan Van Gool. (2016). Exploiting the Immunogenic Potential of Cancer Cells for Improved Dendritic Cell Vaccines. Frontiers in Immunology. 6. 663–663. 79 indexed citations
7.
Vandenberk, Lien, Abhishek D. Garg, Tina Verschuere, et al.. (2015). Irradiation of necrotic cancer cells, employed for pulsing dendritic cells (DCs), potentiates DC vaccine-induced antitumor immunity against high-grade glioma. OncoImmunology. 5(2). e1083669–e1083669. 50 indexed citations
8.
Vooght, Vanessa De, Stijn Smulders, Steven Haenen, et al.. (2012). Neutrophil and Eosinophil Granulocytes as Key Players in a Mouse Model of Chemical-Induced Asthma. Toxicological Sciences. 131(2). 406–418. 26 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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