Michelle M. Rietbergen

6.7k total citations · 3 hit papers
10 papers, 5.0k citations indexed

About

Michelle M. Rietbergen is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michelle M. Rietbergen has authored 10 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Otorhinolaryngology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michelle M. Rietbergen's work include Head and Neck Cancer Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer-related gene regulation (3 papers). Michelle M. Rietbergen is often cited by papers focused on Head and Neck Cancer Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer-related gene regulation (3 papers). Michelle M. Rietbergen collaborates with scholars based in Netherlands, United States and Canada. Michelle M. Rietbergen's co-authors include Hugo J.W.L. Aerts, Philippe Lambin, Patrick Großmann, D. Rietveld, Chintan Parmar, Emmanuel Rios Velazquez, C. René Leemans, Johan Bussink, Ralph T. H. Leijenaar and Benjamin Haibe‐Kains and has published in prestigious journals such as Nature Communications, Scientific Reports and International Journal of Cancer.

In The Last Decade

Michelle M. Rietbergen

10 papers receiving 4.9k citations

Hit Papers

Decoding tumour phenotype by noninvasive imaging using a ... 2014 2026 2018 2022 2014 2015 2015 1000 2.0k 3.0k
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.

  1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    2014 3.6k citations Hugo J.W.L. Aerts, Emmanuel Rios Velazquez et al. Nature Communications profile →
  2. Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
    2015 358 citations Chintan Parmar, Ralph T. H. Leijenaar et al. Scientific Reports profile →
  3. Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
    2015 297 citations Chintan Parmar, Patrick Großmann et al. Frontiers in Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle M. Rietbergen Netherlands 9 4.2k 1.8k 1.1k 919 788 10 5.0k
D. Rietveld Netherlands 21 4.4k 1.1× 2.4k 1.3× 1.1k 1.0× 1.3k 1.4× 815 1.0× 34 6.2k
Janita E. van Timmeren Netherlands 22 5.5k 1.3× 2.2k 1.3× 1.6k 1.4× 1.1k 1.2× 887 1.1× 49 6.3k
Ruud G.P.M. van Stiphout Netherlands 17 4.4k 1.1× 1.9k 1.1× 1.1k 1.0× 1.4k 1.6× 700 0.9× 22 5.6k
René Monshouwer Netherlands 14 4.0k 1.0× 1.7k 1.0× 1.1k 1.0× 744 0.8× 762 1.0× 37 4.5k
Catharina M.L. Zegers Netherlands 22 4.5k 1.1× 1.8k 1.0× 1.2k 1.1× 956 1.0× 644 0.8× 56 5.5k
Patrick V. Granton Netherlands 20 4.5k 1.1× 2.0k 1.1× 1.4k 1.2× 783 0.9× 597 0.8× 37 5.3k
Sebastian Sanduleanu Netherlands 18 4.1k 1.0× 1.6k 0.9× 1.1k 1.0× 899 1.0× 617 0.8× 29 4.9k
Patrick Großmann United States 17 6.8k 1.6× 3.1k 1.8× 2.0k 1.8× 1.4k 1.5× 1.4k 1.8× 31 7.9k
Ronald Boellard Netherlands 4 3.8k 0.9× 1.4k 0.8× 1000 0.9× 703 0.8× 599 0.8× 4 4.2k
Tim Lustberg Netherlands 11 3.8k 0.9× 1.5k 0.8× 1.0k 0.9× 743 0.8× 570 0.7× 17 4.3k

Countries citing papers authored by Michelle M. Rietbergen

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Rietbergen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle M. Rietbergen

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

All Works

10 of 10 papers shown
1.
Rietbergen, Michelle M., Ruud H. Brakenhoff, & C. René Leemans. (2016). Risk Groups for Survival in HPV-Positive and HPV-Negative OPSCC. Recent results in cancer research. 206. 221–231. 2 indexed citations
2.
Parmar, Chintan, Ralph T. H. Leijenaar, Patrick Großmann, et al.. (2015). Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer. Scientific Reports. 5(1). 11044–11044. 358 indexed citations breakdown →
3.
Parmar, Chintan, Patrick Großmann, D. Rietveld, et al.. (2015). Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer. Frontiers in Oncology. 5. 272–272. 297 indexed citations breakdown →
4.
Aerts, Hugo J.W.L., Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, et al.. (2014). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. 5(1). 4006–4006. 3646 indexed citations breakdown →
5.
Velazquez, Emmanuel Rios, Frank Hoebers, Hugo J.W.L. Aerts, et al.. (2014). Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging. Radiotherapy and Oncology. 113(3). 324–330. 57 indexed citations
6.
Aerts, Hugo J.W.L., Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, et al.. (2014). Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. 5(1). 221 indexed citations
7.
Rietbergen, Michelle M., Sanne R. Martens‐de Kemp, Elisabeth Bloemena, et al.. (2013). Cancer stem cell enrichment marker CD98: A prognostic factor for survival in patients with human papillomavirus-positive oropharyngeal cancer. European Journal of Cancer. 50(4). 765–773. 72 indexed citations
8.
Rietbergen, Michelle M., Boudewijn J.M. Braakhuis, Elisabeth Bloemena, et al.. (2013). No evidence for active human papillomavirus (HPV) in fields surrounding HPV‐positive oropharyngeal tumors. Journal of Oral Pathology and Medicine. 43(2). 137–142. 35 indexed citations
9.
Rietbergen, Michelle M., Peter J.F. Snijders, Boudewijn J.M. Braakhuis, et al.. (2013). Molecular characterization of p16-immunopositive but HPV DNA-negative oropharyngeal carcinomas. International Journal of Cancer. 134(10). 2366–2372. 98 indexed citations
10.
Rietbergen, Michelle M., C. René Leemans, Elisabeth Bloemena, et al.. (2012). Increasing prevalence rates of HPV attributable oropharyngeal squamous cell carcinomas in the Netherlands as assessed by a validated test algorithm. International Journal of Cancer. 132(7). 1565–1571. 173 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

Breakdown of academic impact, for papers by D. Rietveld Breakdown of academic impact, for papers by Janita E. van Timmeren Breakdown of academic impact, for papers by Ruud G.P.M. van Stiphout Breakdown of academic impact, for papers by René Monshouwer Breakdown of academic impact, for papers by Catharina M.L. Zegers Breakdown of academic impact, for papers by Patrick V. Granton Breakdown of academic impact, for papers by Sebastian Sanduleanu Breakdown of academic impact, for papers by Patrick Großmann Breakdown of academic impact, for papers by Ronald Boellard Breakdown of academic impact, for papers by Tim Lustberg
Rankless by CCL
2026