Michael Dewaele

4.7k total citations · 1 hit paper
18 papers, 2.0k citations indexed

About

Michael Dewaele is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Dewaele has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Dewaele's work include Autophagy in Disease and Therapy (7 papers), Photodynamic Therapy Research Studies (6 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Michael Dewaele is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Photodynamic Therapy Research Studies (6 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Michael Dewaele collaborates with scholars based in Belgium, Germany and France. Michael Dewaele's co-authors include Patrizia Agostinis, Esther Buytaert, Hannelore Maes, Wim Martinet, Noemí Rubio, Tom Verfaillie, Guido R.Y. De Meyer, Barbara Vanhoecke, Jean‐Christophe Marine and Jacques Piette and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Cell Biology.

In The Last Decade

Michael Dewaele

18 papers receiving 2.0k citations

Hit Papers

Molecular effectors of multiple cell death pathways initi... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Dewaele Belgium 15 948 718 637 461 269 18 2.0k
Noemí Rubio Belgium 19 1.1k 1.1× 534 0.7× 533 0.8× 638 1.4× 213 0.8× 26 2.4k
Xiongying Miao China 31 1.0k 1.1× 462 0.6× 357 0.6× 352 0.8× 475 1.8× 114 2.6k
Yue Wu China 29 1.0k 1.1× 390 0.5× 458 0.7× 204 0.4× 428 1.6× 110 2.3k
Tom Verfaillie Belgium 14 1.5k 1.6× 401 0.6× 450 0.7× 1.0k 2.2× 223 0.8× 16 3.1k
Peizhen Hu China 22 817 0.9× 316 0.4× 192 0.3× 241 0.5× 461 1.7× 55 1.8k
Haocai Chang China 14 886 0.9× 240 0.3× 315 0.5× 206 0.4× 339 1.3× 21 1.9k
Ke Wei China 26 1.9k 2.0× 494 0.7× 466 0.7× 190 0.4× 1.4k 5.1× 60 3.2k
Yi‐Jang Lee Taiwan 26 840 0.9× 155 0.2× 340 0.5× 180 0.4× 306 1.1× 73 1.6k
Tinghe Yu China 25 707 0.7× 214 0.3× 725 1.1× 109 0.2× 272 1.0× 81 1.8k
Noushin Nabavi Canada 29 1.4k 1.5× 304 0.4× 214 0.3× 197 0.4× 921 3.4× 107 2.5k

Countries citing papers authored by Michael Dewaele

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dewaele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dewaele

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

All Works

18 of 18 papers shown
1.
Rufo, Nicole, Dimitris Korovesis, Sofie Van Eygen, et al.. (2021). Stress-induced inflammation evoked by immunogenic cell death is blunted by the IRE1α kinase inhibitor KIRA6 through HSP60 targeting. Cell Death and Differentiation. 29(1). 230–245. 23 indexed citations
2.
Wouters, Jasper, Zeynep Kalender Atak, Liesbeth Minnoye, et al.. (2020). Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma. Nature Cell Biology. 22(8). 986–998. 137 indexed citations
3.
Depreeuw, Jeroen, Ellen Stelloo, Elisabeth M. Osse, et al.. (2017). Amplification of 1q32.1 Refines the Molecular Classification of Endometrial Carcinoma. Clinical Cancer Research. 23(23). 7232–7241. 35 indexed citations
4.
Verfaillie, Annelien, Hana Imrichová, Zeynep Kalender Atak, et al.. (2015). Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state. Nature Communications. 6(1). 6683–6683. 280 indexed citations
6.
Verfaillie, Tom, Alexander R. van Vliet, Abhishek D. Garg, et al.. (2013). Pro-apoptotic signaling induced by photo-oxidative ER stress is amplified by Noxa, not Bim. Biochemical and Biophysical Research Communications. 438(3). 500–506. 40 indexed citations
7.
Hébrant, Aline, Geert Dom, Michael Dewaele, et al.. (2012). mRNA Expression in Papillary and Anaplastic Thyroid Carcinoma: Molecular Anatomy of a Killing Switch. PLoS ONE. 7(10). e37807–e37807. 59 indexed citations
8.
Decuypere, Jean-Paul, Kirsten Welkenhuyzen, Tomas Luyten, et al.. (2011). Ins(1,4,5) P 3 receptor-mediated Ca 2+ signaling and autophagy induction are interrelated. Autophagy. 7(12). 1472–1489. 134 indexed citations
9.
Dewaele, Michael, Hannelore Maes, & Patrizia Agostinis. (2010). ROS-mediated mechanisms of autophagy stimulation and their relevance in cancer therapy. Autophagy. 6(7). 838–854. 258 indexed citations
10.
Dewaele, Michael, Tom Verfaillie, Wim Martinet, & Patrizia Agostinis. (2010). Death and Survival Signals in Photodynamic Therapy. Methods in molecular biology. 635. 7–33. 19 indexed citations
11.
Bontems, Sébastien, Michael Dewaele, Noemí Rubio, et al.. (2010). NF-kappaB inhibition improves the sensitivity of human glioblastoma cells to 5-aminolevulinic acid-based photodynamic therapy. Biochemical Pharmacology. 81(5). 606–616. 72 indexed citations
12.
Dewaele, Michael, Wim Martinet, Noemí Rubio, et al.. (2010). Autophagy pathways activated in response to PDT contribute to cell resistance against ROS damage. Journal of Cellular and Molecular Medicine. 15(6). 1402–1414. 109 indexed citations
13.
Martinet, Wim, Patrizia Agostinis, Barbara Vanhoecke, Michael Dewaele, & Guido R.Y. De Meyer. (2009). Autophagy in disease: a double-edged sword with therapeutic potential. Clinical Science. 116(9). 697–712. 150 indexed citations
14.
Buytaert, Esther, Michael Dewaele, & Patrizia Agostinis. (2008). Molecular pathways in cell death following Photodynamic Therapy. 2 indexed citations
15.
Buytaert, Esther, Michael Dewaele, & Patrizia Agostinis. (2007). Molecular effectors of multiple cell death pathways initiated by photodynamic therapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1776(1). 86–107. 617 indexed citations breakdown →
16.
Maes, Jan, Michael Dewaele, Maria Ruzzene, et al.. (2007). Natural product discovery via chemical genetics in zebrafish. Planta Medica. 73(9). 1 indexed citations
17.
Hendrickx, Nico, Michael Dewaele, Esther Buytaert, et al.. (2005). Targeted inhibition of p38α MAPK suppresses tumor-associated endothelial cell migration in response to hypericin-based photodynamic therapy. Biochemical and Biophysical Research Communications. 337(3). 928–935. 27 indexed citations
18.
Vogels, O.J.M., Ryan DeCoster, F. Aerts, et al.. (1992). THE EFFECTS OF SHORT-TERM TREATMENT WITH LEVAMISOLE ON CYTOKINES IN VOLUNTEERS AND CANCER-PATIENTS. International Journal of Oncology. 1(3). 337–40. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026