Frank Hoebers
About
Frank Hoebers is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Frank Hoebers has authored 147 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Otorhinolaryngology, 67 papers in Pulmonary and Respiratory Medicine and 55 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Frank Hoebers's work include Head and Neck Cancer Studies (80 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Head and Neck Surgical Oncology (18 papers). Frank Hoebers is often cited by papers focused on Head and Neck Cancer Studies (80 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Head and Neck Surgical Oncology (18 papers). Frank Hoebers collaborates with scholars based in Netherlands, United States and Germany. Frank Hoebers's co-authors include Philippe Lambin, Ralph T. H. Leijenaar, C. René Leemans, Hugo J.W.L. Aerts, Sara Carvalho, André Dekker, Emmanuel Rios Velazquez, D. Rietveld, Michelle M. Rietbergen and Robert J. Gillies and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.
In The Last Decade
Frank Hoebers
136 papers receiving 7.4k citations
Hit Papers
Peers
Frank Hoebers
D. Rietveld Netherlands
Sara Carvalho Netherlands
Patrick Großmann United States
Dirk De Ruysscher Netherlands
Wouter van Elmpt Netherlands
Ruud G.P.M. van Stiphout Netherlands
Regina G. H. Beets‐Tan Netherlands
Catharina M.L. Zegers Netherlands
Vicky Goh United Kingdom
David A. Palma Canada
Citations per year, relative to Frank Hoebers Frank Hoebers (= 1×)
peers
D. Rietveld
Countries citing papers authored by Frank Hoebers
Since
Specialization
Citations
This map shows the geographic impact of Frank Hoebers'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 Frank Hoebers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Hoebers more than expected).
Fields of papers citing papers by Frank Hoebers
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Frank Hoebers. 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 Frank Hoebers. The network helps show where Frank Hoebers may publish in the future.
Co-authorship network of co-authors of Frank Hoebers
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Hoebers. A scholar is included among the top collaborators of Frank Hoebers 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 Frank Hoebers. Frank Hoebers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Cavalieri, Stefano, Ruud H. Brakenhoff, C. René Leemans, et al.. (2025). Prognostic gene expression signatures for HPV-negative head and neck squamous cell carcinoma. Radiotherapy and Oncology. 208. 110900–110900.
2.
Houben, Ruud, Meltem Demirel Kars, Hanneke M. van Santen, et al.. (2024). Radiotherapy-induced Hypothalamic-Pituitary axis dysfunction in adult Brain, head and neck and skull base tumor patients – A systematic review and Meta-Analysis. Clinical and Translational Radiation Oncology. 51. 100900–100900.
3.
Petersen, Japke F., Abrahim Al‐Mamgani, Simone E. J. Eerenstein, et al.. (2024). Decisional Conflict in Patients with Advanced Laryngeal Carcinoma: A Multicenter Study. The Laryngoscope. 134(8). 3604–3610.
4.
Tomić, Oliver, Kristian Hovde Liland, Frank Hoebers, et al.. (2024). Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation. Biomedical Physics & Engineering Express. 10(5). 55038–55038.
5.
Schaaf, A. van der, Rachel Ger, Olga Hamming‐Vrieze, et al.. (2024). Clinical Introduction of Stem Cell Sparing Radiotherapy to Reduce the Risk of Xerostomia in Patients with Head and Neck Cancer. Cancers. 16(24). 4283–4283.
6.
Giralt, J., Yungan Tao, Sergi Benavente, et al.. (2024). A multicentric randomized controlled phase III trial of adaptive and 18F-FDG-PET-guided dose-redistribution in locally advanced head and neck squamous cell carcinoma (ARTFORCE). Radiotherapy and Oncology. 196. 110281–110281.
7.
Ye, Zhaoxiang, Frank Hoebers, Yong Zha, et al.. (2024). Development and Validation of a Deep Learning System with Tumor- and Patient-Centric Imaging Analysis to Improve Risk-Stratification in Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). e804–e805.
8.
Tomić, Oliver, Kristian Hovde Liland, Frank Hoebers, et al.. (2023). Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics. Frontiers in Medicine. 10. 1217037–1217037.
9.
Schuit, Ewoud, et al.. (2023). Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients. Clinical and Translational Radiation Oncology. 43. 100677–100677.
10.
Zegers, Catharina M.L., Jeanette Dijkstra, Inge Compter, et al.. (2023). Clinical implementation of standardized neurocognitive assessment before and after radiation to the brain. Clinical and Translational Radiation Oncology. 42. 100664–100664.
11.
Luyendijk, Marianne, Otto Visser, Hedwig M. Blommestein, et al.. (2023). Changes in survival in de novo metastatic cancer in an era of new medicines. JNCI Journal of the National Cancer Institute. 115(6). 628–635.
12.
Bosch, Sven van den, Robert P. Takes, Mischa de Ridder, et al.. (2023). Personalized neck irradiation guided by sentinel lymph node biopsy in patients with squamous cell carcinoma of the oropharynx, larynx or hypopharynx with a clinically negative neck: (Chemo)radiotherapy to the PRIMary tumor only. Protocol of the PRIMO study. Clinical and Translational Radiation Oncology. 44. 100696–100696.
13.
Straetmans, Jos, et al.. (2022). Additional parameters to improve the prognostic value of the 8th edition of the UICC classification for human papillomavirus‐related oropharyngeal tumors. Head & Neck. 44(8). 1799–1815.
14.
Bosch, L. Van den, A. van der Schaaf, Hans Paul van der Laan, et al.. (2021). Comprehensive toxicity risk profiling in radiation therapy for head and neck cancer: A new concept for individually optimised treatment. Radiotherapy and Oncology. 157. 147–154.
15.
Straetmans, Jos, Frank Hoebers, J.H.A.M. Kaanders, et al.. (2020). Tumor control of cervical lymph node metastases of unknown primary origin: the impact of the radiotherapy target volume. European Archives of Oto-Rhino-Laryngology. 277(6). 1753–1761.
16.
Zhai, Tian‐Tian, Frederik Wesseling, Johannes A. Langendijk, et al.. (2020). External validation of nodal failure prediction models including radiomics in head and neck cancer. Oral Oncology. 112. 105083–105083.
17.
Bosch, L. Van den, Ewoud Schuit, Hans Paul van der Laan, et al.. (2020). Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy. Radiotherapy and Oncology. 148. 151–156.
18.
Keek, Simon, Sebastian Sanduleanu, Frederik Wesseling, et al.. (2020). Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy. PLoS ONE. 15(5). e0232639–e0232639.
19.
Zegers, Catharina M.L., Wouter van Elmpt, Bart Reymen, et al.. (2014). In Vivo Quantification of Hypoxic and Metabolic Status of NSCLC Tumors Using [18F]HX4 and [18F]FDG-PET/CT Imaging. Clinical Cancer Research. 20(24). 6389–6397.
20.
Jong, Monique C. de, Jimmy Pramana, Jacqueline E. van der Wal, et al.. (2010). CD44 Expression Predicts Local Recurrence after Radiotherapy in Larynx Cancer. Clinical Cancer Research. 16(21). 5329–5338.
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 Sara Carvalho Breakdown of academic impact, for papers by Patrick Großmann Breakdown of academic impact, for papers by Dirk De Ruysscher Breakdown of academic impact, for papers by Wouter van Elmpt Breakdown of academic impact, for papers by Ruud G.P.M. van Stiphout Breakdown of academic impact, for papers by Regina G. H. Beets‐Tan Breakdown of academic impact, for papers by Catharina M.L. Zegers Breakdown of academic impact, for papers by Vicky Goh Breakdown of academic impact, for papers by David A. Palma