Olivier De Wever

36.5k total citations · 5 hit papers
225 papers, 12.0k citations indexed

About

Olivier De Wever is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Olivier De Wever has authored 225 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 85 papers in Oncology and 37 papers in Immunology. Recurrent topics in Olivier De Wever's work include Cancer Cells and Metastasis (40 papers), Extracellular vesicles in disease (32 papers) and Cell Adhesion Molecules Research (15 papers). Olivier De Wever is often cited by papers focused on Cancer Cells and Metastasis (40 papers), Extracellular vesicles in disease (32 papers) and Cell Adhesion Molecules Research (15 papers). Olivier De Wever collaborates with scholars based in Belgium, France and United States. Olivier De Wever's co-authors include Marc Bracke, Marc Mareel, An Hendrix, Christian Gespach, Marc Mareel, Pieter Demetter, Véronique Cocquyt, Hannelore Denys, Jan Van Deun and Erik Bruyneel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Olivier De Wever

221 papers receiving 11.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent Developments in Myofibroblast Biology

2012 989 citations Olivier De Wever et al. profile →
Role of tissue stroma in cancer cell invasion

2003 838 citations Olivier De Wever et al. profile →
The impact of disparate isolation methods for extracellular vesicles on downstream RNA profiling

2014 755 citations Pieter Mestdagh, Véronique Cocquyt et al. profile →
Stromal myofibroblasts are drivers of invasive cancer growth

2008 575 citations Olivier De Wever, Pieter Demetter et al. profile →
Bone marrow stromal cell–derived exosomes as communicators in drug resistance in multiple myeloma cells

2014 366 citations An Hendrix, Olivier De Wever et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olivier De Wever Belgium	54	6.5k	3.9k	3.0k	1.5k	1.3k	225	12.0k
Kristian Pietras Sweden	46	6.4k 1.0×	4.3k 1.1×	2.6k 0.9×	1.4k 1.0×	1.8k 1.3×	99	12.2k
Héctor Peinado Spain	41	10.3k 1.6×	5.5k 1.4×	4.5k 1.5×	2.0k 1.3×	1.4k 1.1×	91	14.7k
Marsha A. Moses United States	65	7.8k 1.2×	3.5k 0.9×	4.8k 1.6×	1.4k 0.9×	1.6k 1.2×	212	15.3k
William P. Schiemann United States	59	6.8k 1.0×	3.5k 0.9×	2.4k 0.8×	1.3k 0.9×	1.3k 0.9×	132	11.1k
Vivek Mittal United States	50	7.2k 1.1×	4.2k 1.1×	3.2k 1.0×	1.6k 1.1×	1.5k 1.2×	130	12.9k
Kevin P. Claffey United States	52	7.6k 1.2×	3.0k 0.8×	2.5k 0.8×	1.4k 1.0×	768 0.6×	98	11.7k
Hikaru Sugimoto United States	50	10.3k 1.6×	3.9k 1.0×	4.9k 1.6×	2.5k 1.7×	1.8k 1.3×	115	18.4k
Peter Bałuk United States	53	6.4k 1.0×	4.1k 1.0×	1.7k 0.6×	1.8k 1.2×	1.6k 1.2×	107	13.2k
Janice A. Nagy United States	59	7.9k 1.2×	3.0k 0.8×	3.0k 1.0×	2.1k 1.4×	1.4k 1.1×	132	14.5k
Roy Bicknell United Kingdom	72	10.2k 1.6×	3.7k 0.9×	4.2k 1.4×	1.7k 1.2×	1.4k 1.0×	232	16.1k

Countries citing papers authored by Olivier De Wever

Since Specialization

Citations

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

Fields of papers citing papers by Olivier De Wever

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier De Wever

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

All Works

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20 of 20 papers shown

Castro, Flávia, Marta L. Pinto, Catarina Leite Pereira, et al.. (2025). Chitosan/γ-PGA nanoparticles and IFN-γ immunotherapy: A dual approach for triple-negative breast cancer treatment. Journal of Controlled Release. 379. 621–635. 10 indexed citations

Deville, Sarah, Philippe Tummers, Hannelore Denys, et al.. (2024). Mapping bacterial extracellular vesicle research: insights, best practices and knowledge gaps. Nature Communications. 15(1). 9410–9410. 18 indexed citations

Lippens, Lien, Cláudio Pinheiro, Glenn Vergauwen, et al.. (2023). Integrating automated liquid handling in the separation workflow of extracellular vesicles enhances specificity and reproducibility. Journal of Nanobiotechnology. 21(1). 157–157. 10 indexed citations

Jaeghere, Emiel A. De, Sandra Tuyaerts, Ann Belmans, et al.. (2022). 2022-RA-638-ESGO Pembrolizumab with multimodal immunomodulation in chemotherapy-pretreated cervical, endometrial, and uterine cancer: the PRIMMO phase II trial. International Journal of Gynecological Cancer. 32. A187–A188.

Harizaj, Aranit, Benedicte Descamps, Stephan Stremersch, et al.. (2021). Cytosolic delivery of gadolinium via photoporation enables improved in vivo magnetic resonance imaging of cancer cells. Biomaterials Science. 9(11). 4005–4018. 8 indexed citations

Vijver, Koen Van de, Joni Van der Meulen, Joachim Taminau, et al.. (2020). Establishment and characterization of a cell line and patient-derived xenograft (PDX) from peritoneal metastasis of low-grade serous ovarian carcinoma. Scientific Reports. 10(1). 6688–6688. 22 indexed citations

Dhondt, Bert, Nicolaas Lumen, Olivier De Wever, & An Hendrix. (2020). Preparation of Multi-omics Grade Extracellular Vesicles by Density-Based Fractionation of Urine. STAR Protocols. 1(2). 100073–100073. 22 indexed citations

Jaeghere, Emiel A. De, Hannelore Denys, & Olivier De Wever. (2019). Fibroblasts Fuel Immune Escape in the Tumor Microenvironment. Trends in cancer. 5(11). 704–723. 116 indexed citations

Debbaut, Charlotte, Olivier De Wever, Benedicte Descamps, et al.. (2019). A 3D CFD model of the interstitial fluid pressure and drug distribution in heterogeneous tumor nodules during intraperitoneal chemotherapy. Drug Delivery. 26(1). 404–415. 38 indexed citations

10.

Wever, Olivier De & An Hendrix. (2019). A supporting ecosystem to mature extracellular vesicles into clinical application. The EMBO Journal. 38(9). 34 indexed citations

11.

Tulkens, Joeri, Olivier De Wever, & An Hendrix. (2019). Analyzing bacterial extracellular vesicles in human body fluids by orthogonal biophysical separation and biochemical characterization. Nature Protocols. 15(1). 40–67. 183 indexed citations

12.

Mammadova‐Bach, Elmina, Tristan Rupp, Caroline Spenlé, et al.. (2018). Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinoma. Biology of the Cell. 110(8). 178–195. 16 indexed citations

13.

Tommelein, Joke, Elly De Vlieghere, Laurine Verset, et al.. (2017). Radiotherapy-Activated Cancer-Associated Fibroblasts Promote Tumor Progression through Paracrine IGF1R Activation. Cancer Research. 78(3). 659–670. 128 indexed citations

14.

Leonard, Brandon, Gabriel J. Starrett, Matthew J. Maurer, et al.. (2016). APOBEC3G Expression Correlates with T-Cell Infiltration and Improved Clinical Outcomes in High-grade Serous Ovarian Carcinoma. Clinical Cancer Research. 22(18). 4746–4755. 52 indexed citations

15.

Lapeire, Lore, Hannelore Denys, Véronique Cocquyt, & Olivier De Wever. (2015). When fat becomes an ally of the enemy: adipose tissue as collaborator in human breast cancer. Hormone Molecular Biology and Clinical Investigation. 23(1). 21–38. 11 indexed citations

16.

Vlieghere, Elly De, Laurine Verset, Christopher J. Jones, et al.. (2015). Tumor-environment biomimetics delay peritoneal metastasis formation by deceiving and redirecting disseminated cancer cells. Biomaterials. 54. 148–157. 30 indexed citations

17.

Lapeire, Lore, An Hendrix, Kathleen Lambein, et al.. (2014). Cancer-Associated Adipose Tissue Promotes Breast Cancer Progression by Paracrine Oncostatin M and Jak/STAT3 Signaling. Cancer Research. 74(23). 6806–6819. 116 indexed citations

18.

Wever, Olivier De, An Hendrix, Astrid De Boeck, et al.. (2013). Single Cell and Spheroid Collagen Type I Invasion Assay. Methods in molecular biology. 1070. 13–35. 13 indexed citations

19.

Emami, Shahin, et al.. (2008). Netrin-1 Induces Apoptosis in Human Cervical Tumor Cells via the TAp73α Tumor Suppressor. Cancer Research. 68(20). 8231–8239. 17 indexed citations

20.

Denys, Hannelore, Olivier De Wever, Betty Nusgens, et al.. (2004). Invasion and MMP expression profile in desmoid tumours. British Journal of Cancer. 90(7). 1443–1449. 42 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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