M. M. Van Glabbeke

755 total citations
8 papers, 573 citations indexed

About

M. M. Van Glabbeke is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, M. M. Van Glabbeke has authored 8 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in M. M. Van Glabbeke's work include Sarcoma Diagnosis and Treatment (7 papers), Vascular Tumors and Angiosarcomas (3 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). M. M. Van Glabbeke is often cited by papers focused on Sarcoma Diagnosis and Treatment (7 papers), Vascular Tumors and Angiosarcomas (3 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). M. M. Van Glabbeke collaborates with scholars based in Netherlands, Australia and Germany. M. M. Van Glabbeke's co-authors include Cathryn Rankin, Kouros Owzar, John Crowley, John Simes, Anne Kirkpatrick, Pancras C.W. Hogendoorn, Jean‐Yves Blay, Axel Le Cesne, Jaap Verweij and Zsuzsa Pápai and has published in prestigious journals such as Journal of Clinical Oncology.

In The Last Decade

M. M. Van Glabbeke

8 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. M. Van Glabbeke Netherlands 5 480 288 202 175 90 8 573
B. Bui-Nguyen France 10 340 0.7× 187 0.6× 162 0.8× 94 0.5× 66 0.7× 13 444
P. Chalabreysse France 3 346 0.7× 122 0.4× 145 0.7× 110 0.6× 83 0.9× 9 426
J. F. Graadt van Roggen Netherlands 11 318 0.7× 178 0.6× 95 0.5× 322 1.8× 39 0.4× 14 631
Judi Manola United States 8 327 0.7× 99 0.3× 90 0.4× 93 0.5× 64 0.7× 12 542
Cristina Antonescu United States 6 193 0.4× 108 0.4× 107 0.5× 154 0.9× 36 0.4× 9 343
Jochen Schuette Germany 7 317 0.7× 260 0.9× 91 0.5× 155 0.9× 12 0.1× 12 459
Daniela Katz Israel 12 365 0.8× 47 0.2× 323 1.6× 62 0.4× 161 1.8× 29 620
Hongyu Wu United States 3 501 1.0× 54 0.2× 252 1.2× 163 0.9× 97 1.1× 4 661
Christine M. Barnett United States 5 521 1.1× 523 1.8× 83 0.4× 242 1.4× 9 0.1× 8 730
A. Le Cesne France 10 194 0.4× 106 0.4× 181 0.9× 57 0.3× 10 0.1× 41 369

Countries citing papers authored by M. M. Van Glabbeke

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Van Glabbeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. M. Van Glabbeke. 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 M. M. Van Glabbeke. The network helps show where M. M. Van Glabbeke may publish in the future.

Co-authorship network of co-authors of M. M. Van Glabbeke

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Van Glabbeke. A scholar is included among the top collaborators of M. M. Van Glabbeke 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 M. M. Van Glabbeke. M. M. Van Glabbeke 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.
Oberlin, O., M. Le Deley, Uta Dirksen, et al.. (2011). Randomized comparison of VAC versus VAI chemotherapy (CT) as consolidation for standard risk (SR) Ewing sarcoma tumor (ES): Results of the Euro-EWING.99-R1 trial.. Journal of Clinical Oncology. 29(15_suppl). 9517–9517. 10 indexed citations
2.
Sleijfer, Stefan, M. M. Van Glabbeke, C. B. H. W. Lamers, et al.. (2010). Soluble factors (SF) associated with efficacy and toxicity of pazopanib (PZB) in advanced soft tissue sarcoma (STS) patients (pts): An EORTC-STBSG study.. Journal of Clinical Oncology. 28(15_suppl). 10040–10040. 2 indexed citations
3.
4.
Glabbeke, M. M. Van, Jaap Verweij, Paolo G. Casali, et al.. (2009). Type of progression in patients treated with imatinib for advanced gastrointestinal stromal tumor (GIST): A study based on the EORTC-ISG-AGITG trial 62005. Journal of Clinical Oncology. 27(15_suppl). 10536–10536. 1 indexed citations
5.
Schuetze, Scott M., Piotr Rutkowski, M. M. Van Glabbeke, et al.. (2009). Combined analysis of two phase II trials of imatinib in advanced dermatofibrosarcoma protuberans (DFSP). Journal of Clinical Oncology. 27(15_suppl). 10520–10520. 5 indexed citations
6.
7.
Glabbeke, M. M. Van, et al.. (2007). Comparison of two doses of imatinib for the treatment of unresectable or metastatic gastrointestinal stromal tumors (GIST): A meta-analyis based on 1,640 patients (pts). Journal of Clinical Oncology. 25(18_suppl). 10004–10004. 304 indexed citations
8.
Bramwell, Vivien, William P. Steward, M. Nooij, et al.. (1999). Neoadjuvant Chemotherapy With Doxorubicin and Cisplatin in Malignant Fibrous Histiocytoma of Bone: A European Osteosarcoma Intergroup Study. Journal of Clinical Oncology. 17(10). 3260–3269. 57 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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