Michiel de Maaker

2.2k total citations
9 papers, 176 citations indexed

About

Michiel de Maaker is a scholar working on Cancer Research, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Michiel de Maaker has authored 9 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 4 papers in Otorhinolaryngology. Recurrent topics in Michiel de Maaker's work include Head and Neck Cancer Studies (4 papers), RNA modifications and cancer (3 papers) and Breast Cancer Treatment Studies (3 papers). Michiel de Maaker is often cited by papers focused on Head and Neck Cancer Studies (4 papers), RNA modifications and cancer (3 papers) and Breast Cancer Treatment Studies (3 papers). Michiel de Maaker collaborates with scholars based in Netherlands, France and Belgium. Michiel de Maaker's co-authors include Boudewijn J.M. Braakhuis, Ruud H. Brakenhoff, C. René Leemans, Elisabeth Bloemena, Arjen Brink, I. van der Waal, Paula H.M. Elkhuizen, Sophie C.J. Bosma, Femke van der Leij and Harry Bartelink and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Cancer Research.

In The Last Decade

Michiel de Maaker

9 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michiel de Maaker Netherlands 7 71 62 47 44 38 9 176
Kazushige Koike Japan 5 51 0.7× 165 2.7× 20 0.4× 74 1.7× 49 1.3× 10 260
Emilie Sohier France 5 30 0.4× 54 0.9× 19 0.4× 12 0.3× 48 1.3× 7 128
Rohan Shetty India 6 15 0.2× 44 0.7× 3 0.1× 18 0.4× 38 1.0× 30 137
Ryuji Yasumatsu Japan 9 42 0.6× 83 1.3× 2 0.0× 70 1.6× 48 1.3× 22 178
Rosemary Millen Australia 9 29 0.4× 85 1.4× 2 0.0× 8 0.2× 48 1.3× 15 168
Nigel Biswas–Baldwin United Kingdom 5 31 0.4× 140 2.3× 6 0.1× 133 3.0× 85 2.2× 9 252
Katrin Heider United Kingdom 6 101 1.4× 44 0.7× 2 0.0× 18 0.4× 85 2.2× 12 155
J. Miroir France 8 14 0.2× 143 2.3× 153 3.5× 30 0.8× 26 237
Carla Marani Italy 8 18 0.3× 22 0.4× 5 0.1× 10 0.2× 23 0.6× 19 135
Maísa Pinheiro United States 8 69 1.0× 37 0.6× 2 0.0× 26 0.6× 75 2.0× 12 173

Countries citing papers authored by Michiel de Maaker

Since Specialization
Citations

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

Fields of papers citing papers by Michiel de Maaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiel de Maaker

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel de Maaker. A scholar is included among the top collaborators of Michiel de Maaker 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 Michiel de Maaker. Michiel de Maaker 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.
Bosma, Sophie C.J., Marlous Hoogstraat, Erik van Werkhoven, et al.. (2020). A case-control study to identify molecular risk factors for local recurrence in young breast cancer patients. Radiotherapy and Oncology. 156. 127–135. 6 indexed citations
2.
Bosma, Sophie C.J., Femke van der Leij, Michiel de Maaker, et al.. (2020). Five-Year Results of the Preoperative Accelerated Partial Breast Irradiation (PAPBI) Trial. International Journal of Radiation Oncology*Biology*Physics. 106(5). 958–967. 30 indexed citations
3.
Bosma, Sophie C.J., Marlous Hoogstraat, Femke van der Leij, et al.. (2019). Response to Preoperative Radiation Therapy in Relation to Gene Expression Patterns in Breast Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 106(1). 174–181. 16 indexed citations
4.
Kok, Marleen, Leonie Voorwerk, Hugo M. Horlings, et al.. (2018). Adaptive phase II randomized trial of nivolumab after induction treatment in triple negative breast cancer (TONIC trial): Final response data stage I and first translational data.. Journal of Clinical Oncology. 36(15_suppl). 1012–1012. 34 indexed citations
5.
Kemp, Sanne R. Martens‐de, Michiel de Maaker, Wessel N. van Wieringen, et al.. (2013). Identification of Lethal microRNAs Specific for Head and Neck Cancer. Clinical Cancer Research. 19(20). 5647–5657. 12 indexed citations
6.
Maaker, Michiel de, Arjen Brink, Boudewijn J.M. Braakhuis, et al.. (2013). Molecular screening of oral precancer. Oral Oncology. 49(12). 1129–1135. 54 indexed citations
7.
Braakhuis, Boudewijn J.M., Simone E. J. Eerenstein, Remco de Bree, et al.. (2012). Molecular diagnosis of minimal residual disease in head and neck cancer patients. Cellular Oncology. 35(5). 367–375. 10 indexed citations
8.
Maaker, Michiel de, Boudewijn J.M. Braakhuis, Remco de Bree, et al.. (2009). Molecular Detection of Minimal Residual Cancer in Surgical Margins of Head and Neck Cancer Patients. Analytical Cellular Pathology. 31(4). 317–328. 5 indexed citations
9.
Maaker, Michiel de, Boudewijn J.M. Braakhuis, Remco de Bree, et al.. (2009). Molecular detection of minimal residual cancer in surgical margins of head and neck cancer patients.. SHILAP Revista de lepidopterología. 31(4). 317–28. 9 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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