Dries Renmans

615 total citations
9 papers, 500 citations indexed

About

Dries Renmans is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Dries Renmans has authored 9 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Dries Renmans's work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and RNA Interference and Gene Delivery (3 papers). Dries Renmans is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and RNA Interference and Gene Delivery (3 papers). Dries Renmans collaborates with scholars based in Belgium, United States and Luxembourg. Dries Renmans's co-authors include Kris Thielemans, Karine Breckpot, Carlo Heirman, Katrijn Broos, Lukasz Bialkowski, Kevin Van der Jeught, Sandra Van Lint, Joeri L. Aerts, Stephanie Du Four and Sarah Maenhout and has published in prestigious journals such as Scientific Reports, International Journal of Cancer and Cell Death and Disease.

In The Last Decade

Dries Renmans

9 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dries Renmans Belgium 8 296 253 244 70 60 9 500
Samuel Alsén Sweden 9 513 1.7× 191 0.8× 277 1.1× 31 0.4× 56 0.9× 15 737
Korina G. Veenstra United States 6 317 1.1× 139 0.5× 216 0.9× 38 0.5× 54 0.9× 8 484
Praveen D. Chatani United States 5 241 0.8× 214 0.8× 194 0.8× 37 0.5× 33 0.6× 11 382
Longchao Liu United States 12 460 1.6× 246 1.0× 280 1.1× 54 0.8× 28 0.5× 18 758
Bettina P. Iliopoulou United States 10 323 1.1× 101 0.4× 250 1.0× 31 0.4× 43 0.7× 15 531
K. Patricia Hartmann Switzerland 5 162 0.5× 167 0.7× 160 0.7× 61 0.9× 53 0.9× 6 339
Meredith Slota United States 7 311 1.1× 144 0.6× 261 1.1× 109 1.6× 25 0.4× 16 436
J Filderman United States 5 411 1.4× 191 0.8× 234 1.0× 87 1.2× 23 0.4× 7 532
Matthew Adamow United States 7 398 1.3× 127 0.5× 350 1.4× 25 0.4× 27 0.5× 12 525
Casey A. Carlos United States 8 268 0.9× 200 0.8× 159 0.7× 73 1.0× 102 1.7× 12 502

Countries citing papers authored by Dries Renmans

Since Specialization
Citations

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

Fields of papers citing papers by Dries Renmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dries Renmans

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

All Works

9 of 9 papers shown
1.
Bialkowski, Lukasz, Kevin Van der Jeught, Dries Renmans, et al.. (2018). Immune checkpoint blockade combined with IL‐6 and TGF‐β inhibition improves the therapeutic outcome of mRNA‐based immunotherapy. International Journal of Cancer. 143(3). 686–698. 31 indexed citations
2.
Broos, Katrijn, Marleen Keyaerts, Quentin Lecocq, et al.. (2017). Non-invasive assessment of murine PD-L1 levels in syngeneic tumor models by nuclear imaging with nanobody tracers. Oncotarget. 8(26). 41932–41946. 98 indexed citations
3.
Lint, Sandra Van, Dries Renmans, Katrijn Broos, et al.. (2016). Intratumoral Delivery of TriMix mRNA Results in T-cell Activation by Cross-Presenting Dendritic Cells. Cancer Immunology Research. 4(2). 146–156. 101 indexed citations
4.
Groef, Sofie De, Dries Renmans, Ying Cai, et al.. (2016). STAT3 modulates β-cell cycling in injured mouse pancreas and protects against DNA damage. Cell Death and Disease. 7(6). e2272–e2272. 19 indexed citations
5.
Bialkowski, Lukasz, Kevin Van der Jeught, Dries Renmans, et al.. (2016). Intralymphatic mRNA vaccine induces CD8 T-cell responses that inhibit the growth of mucosally located tumours. Scientific Reports. 6(1). 22509–22509. 61 indexed citations
6.
Bialkowski, Lukasz, Kevin Van der Jeught, Dries Renmans, et al.. (2016). Adjuvant-Enhanced mRNA Vaccines. Methods in molecular biology. 1499. 179–191. 6 indexed citations
7.
Four, Stephanie Du, Sarah Maenhout, Dries Renmans, et al.. (2015). Axitinib increases the infiltration of immune cells and reduces the suppressive capacity of monocytic MDSCs in an intracranial mouse melanoma model. OncoImmunology. 4(4). e998107–e998107. 63 indexed citations
8.
Lint, Sandra Van, Dries Renmans, Katrijn Broos, et al.. (2014). The ReNAissanCe of mRNA-based cancer therapy. Expert Review of Vaccines. 14(2). 235–251. 68 indexed citations
9.
Jeught, Kevin Van der, Lukasz Bialkowski, Katrijn Broos, et al.. (2014). Targeting the tumor microenvironment to enhance antitumor immune responses. Oncotarget. 6(3). 1359–1381. 53 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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