Marjo de Graauw

1.4k total citations
23 papers, 1.0k citations indexed

About

Marjo de Graauw is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Marjo de Graauw has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Marjo de Graauw's work include Chemotherapy-induced organ toxicity mitigation (5 papers), Cellular Mechanics and Interactions (4 papers) and Cell death mechanisms and regulation (4 papers). Marjo de Graauw is often cited by papers focused on Chemotherapy-induced organ toxicity mitigation (5 papers), Cellular Mechanics and Interactions (4 papers) and Cell death mechanisms and regulation (4 papers). Marjo de Graauw collaborates with scholars based in Netherlands, United States and Israel. Marjo de Graauw's co-authors include Bob van de Water, Chantal Pont, Ine B. Tijdens, Paul J. Hensbergen, Lisa Fredriksson, Bram Herpers, Giulia Benedetti, John H.N. Meerman, Sylvia E. Le Dévédec and André M. Deelder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Marjo de Graauw

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjo de Graauw Netherlands 16 652 176 167 133 111 23 1.0k
Laura M. López‐Sánchez Spain 19 489 0.8× 188 1.1× 187 1.1× 97 0.7× 78 0.7× 34 1.1k
Wesley O. McBride United States 10 617 0.9× 166 0.9× 216 1.3× 105 0.8× 43 0.4× 13 1.1k
Esther A. Zaal Netherlands 16 922 1.4× 402 2.3× 255 1.5× 119 0.9× 48 0.4× 42 1.3k
Zhitu Zhu China 17 595 0.9× 177 1.0× 195 1.2× 84 0.6× 49 0.4× 46 943
Alphonse Le Cam France 19 666 1.0× 89 0.5× 222 1.3× 95 0.7× 34 0.3× 35 1.3k
Ronald J. Rothman United States 10 862 1.3× 87 0.5× 135 0.8× 132 1.0× 66 0.6× 12 1.2k
Hee Jun Cho South Korea 24 926 1.4× 267 1.5× 386 2.3× 174 1.3× 106 1.0× 53 1.4k
Marshall S. Scicchitano United States 16 555 0.9× 248 1.4× 175 1.0× 89 0.7× 195 1.8× 24 1.1k

Countries citing papers authored by Marjo de Graauw

Since Specialization
Citations

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

Fields of papers citing papers by Marjo de Graauw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjo de Graauw. 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 Marjo de Graauw. The network helps show where Marjo de Graauw may publish in the future.

Co-authorship network of co-authors of Marjo de Graauw

This figure shows the co-authorship network connecting the top 25 collaborators of Marjo de Graauw. A scholar is included among the top collaborators of Marjo de Graauw 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 Marjo de Graauw. Marjo de Graauw 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.
Zhang, Ying-Hui, Tamar Geiger, Maxime P. Look, et al.. (2018). IGF1R signaling drives antiestrogen resistance through PAK2/PIX activation in luminal breast cancer. Oncogene. 37(14). 1869–1884. 36 indexed citations
2.
Rudolph, Jan Daniel, Marjo de Graauw, Bob van de Water, Tamar Geiger, & Roded Sharan. (2016). Elucidation of Signaling Pathways from Large-Scale Phosphoproteomic Data Using Protein Interaction Networks. Cell Systems. 3(6). 585–593.e3. 46 indexed citations
3.
Cao, Lu, et al.. (2016). Hierarchical classification strategy for Phenotype extraction from epidermal growth factor receptor endocytosis screening. BMC Bioinformatics. 17(1). 196–196. 1 indexed citations
4.
Rohwer, Nadine, Christina Grimm, Bertram Klinger, et al.. (2015). Annexin A1 sustains tumor metabolism and cellular proliferation upon stable loss of HIF1A. Oncotarget. 7(6). 6693–6710. 12 indexed citations
5.
Fredriksson, Lisa, Steven Wink, Bram Herpers, et al.. (2014). Drug-Induced Endoplasmic Reticulum and Oxidative Stress Responses Independently Sensitize Toward TNFα-Mediated Hepatotoxicity. Toxicological Sciences. 140(1). 144–159. 71 indexed citations
6.
Graauw, Marjo de, Lu Cao, Sylvia E. Le Dévédec, et al.. (2013). Annexin A2 depletion delays EGFR endocytic trafficking via cofilin activation and enhances EGFR signaling and metastasis formation. Oncogene. 33(20). 2610–2619. 46 indexed citations
7.
Benedetti, Giulia, et al.. (2013). A screen for apoptotic synergism between clinical relevant nephrotoxicant and the cytokine TNF-α. Toxicology in Vitro. 27(8). 2264–2272. 4 indexed citations
8.
9.
Calpe‐Berdiel, Laura, Ying Zhao, Marjo de Graauw, et al.. (2012). Macrophage ABCA2 deletion modulates intracellular cholesterol deposition, affects macrophage apoptosis, and decreases early atherosclerosis in LDL receptor knockout mice. Atherosclerosis. 223(2). 332–341. 13 indexed citations
10.
Benedetti, Giulia, Lisa Fredriksson, Bram Herpers, et al.. (2012). TNF-α-mediated NF-κB survival signaling impairment by cisplatin enhances JNK activation allowing synergistic apoptosis of renal proximal tubular cells. Biochemical Pharmacology. 85(2). 274–286. 73 indexed citations
11.
Qin, Yu, Geurt Stokman, Petra Pennekamp, et al.. (2011). Focal Adhesion Kinase Signaling Mediates Acute Renal Injury Induced by Ischemia/Reperfusion. American Journal Of Pathology. 179(6). 2766–2778. 16 indexed citations
12.
Fredriksson, Lisa, Bram Herpers, Giulia Benedetti, et al.. (2011). Diclofenac inhibits tumor necrosis factor-α-induced nuclear factor-κB activation causing synergistic hepatocyte apoptosis. Hepatology. 53(6). 2027–2041. 73 indexed citations
13.
Qin, Yu, Geurt Stokman, Kuan Yan, et al.. (2011). cAMP signalling protects proximal tubular epithelial cells from cisplatin‐induced apoptosis via activation of Epac. British Journal of Pharmacology. 165(4b). 1137–1150. 31 indexed citations
14.
Graauw, Marjo de, Martine H. van Miltenburg, Marjanka K. Schmidt, et al.. (2010). Annexin A1 regulates TGF-β signaling and promotes metastasis formation of basal-like breast cancer cells. Proceedings of the National Academy of Sciences. 107(14). 6340–6345. 170 indexed citations
15.
Graauw, Marjo de. (2009). Phospho-proteomics : methods and protocols. 10 indexed citations
16.
Graauw, Marjo de, Sylvia E. Le Dévédec, Ine B. Tijdens, et al.. (2007). Proteomic Analysis of Alternative Protein Tyrosine Phosphorylation in 1,2-Dichlorovinyl-Cysteine-Induced Cytotoxicity in Primary Cultured Rat Renal Proximal Tubular Cells. Journal of Pharmacology and Experimental Therapeutics. 322(1). 89–100. 6 indexed citations
17.
Graauw, Marjo de, et al.. (2007). Extracellular Signal-Regulated Kinase Activation during Renal Ischemia/Reperfusion Mediates Focal Adhesion Dissolution and Renal Injury. American Journal Of Pathology. 171(2). 452–462. 54 indexed citations
18.
Graauw, Marjo de, Paul J. Hensbergen, & Bob van de Water. (2006). Phospho‐proteomic analysis of cellular signaling. Electrophoresis. 27(13). 2676–2686. 36 indexed citations
19.
20.
Graauw, Marjo de, et al.. (2004). Protein Kinase C Mediates Cisplatin-Induced Loss of Adherens Junctions Followed by Apoptosis of Renal Proximal Tubular Epithelial Cells. Journal of Pharmacology and Experimental Therapeutics. 311(3). 892–903. 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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