David Bonekamp

9.0k total citations · 4 hit papers
131 papers, 5.2k citations indexed

About

David Bonekamp is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, David Bonekamp has authored 131 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Radiology, Nuclear Medicine and Imaging, 68 papers in Pulmonary and Respiratory Medicine and 24 papers in Rheumatology. Recurrent topics in David Bonekamp's work include Prostate Cancer Diagnosis and Treatment (60 papers), Prostate Cancer Treatment and Research (43 papers) and MRI in cancer diagnosis (36 papers). David Bonekamp is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (60 papers), Prostate Cancer Treatment and Research (43 papers) and MRI in cancer diagnosis (36 papers). David Bonekamp collaborates with scholars based in Germany, United States and Canada. David Bonekamp's co-authors include Philipp Kickingereder, Heinz-Peter Schlemmer, Klaus Maier‐Hein, Markus Hohenfellner, Heinz‐Peter Schlemmer, Jan Philipp Radtke, Wolfgang Wick, Martin Bendszus, Antje Wick and Alexander Radbruch and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Bonekamp

127 papers receiving 5.2k citations

Hit Papers

align trajectories

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.

Automated brain extraction of multisequence MRI using artificial neural networks

2019 364 citations Gianluca Brugnara, David Bonekamp et al. profile →
Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

2016 321 citations Philipp Kickingereder, Sina Burth et al. Radiology profile →
Multiparametric Magnetic Resonance Imaging (MRI) and MRI–Transrectal Ultrasound Fusion Biopsy for Index Tumor Detection: Correlation with Radical Prostatectomy Specimen

2016 245 citations Jan Philipp Radtke, Constantin Schwab et al. profile →
Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

2019 230 citations Patrick Schelb, Simon Köhl et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Bonekamp Germany	35	3.2k	2.3k	875	780	401	131	5.2k
Heinz‐Peter Schlemmer Germany	36	3.7k 1.2×	1.5k 0.7×	696 0.8×	391 0.5×	302 0.8×	243	5.4k
Heinz-Peter Schlemmer Germany	53	6.1k 1.9×	3.0k 1.3×	1.0k 1.2×	784 1.0×	471 1.2×	155	8.8k
Kristen W. Yeom United States	34	2.1k 0.7×	756 0.3×	1.0k 1.1×	269 0.3×	216 0.5×	164	4.3k
David L. Buckley United Kingdom	46	7.0k 2.2×	1.4k 0.6×	508 0.6×	226 0.3×	321 0.8×	132	8.4k
John O. Prior Switzerland	40	2.7k 0.9×	1.5k 0.6×	332 0.4×	217 0.3×	793 2.0×	303	5.6k
Lale Umutlu Germany	38	3.4k 1.1×	1.3k 0.5×	236 0.3×	174 0.2×	1.0k 2.5×	273	5.2k
Glenn Bauman Canada	44	2.5k 0.8×	4.7k 2.0×	2.9k 3.3×	221 0.3×	1.1k 2.7×	269	7.4k
Katja Pinker Austria	56	6.5k 2.0×	1.3k 0.5×	305 0.3×	492 0.6×	775 1.9×	282	8.7k
Philipp Kickingereder Germany	37	3.6k 1.1×	1.0k 0.4×	2.0k 2.3×	85 0.1×	312 0.8×	115	5.3k
Kohsuke Kudo Japan	38	2.8k 0.9×	1.4k 0.6×	248 0.3×	244 0.3×	126 0.3×	266	5.3k

Countries citing papers authored by David Bonekamp

Since Specialization

Citations

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

Fields of papers citing papers by David Bonekamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Bonekamp. 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 David Bonekamp. The network helps show where David Bonekamp may publish in the future.

Co-authorship network of co-authors of David Bonekamp

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

All Works

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20 of 20 papers shown

Baumann, Lukas, Jakob Liermann, Philipp Hoegen, et al.. (2024). Dosimetric benefit of online treatment plan adaptation in stereotactic ultrahypofractionated MR-guided radiotherapy for localized prostate cancer. Frontiers in Oncology. 14. 6 indexed citations

Sahm, Felix, Felix T. Kurz, Tobias Keßler, et al.. (2023). Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma. Neuro-Oncology Advances. 5(1). vdad016–vdad016. 5 indexed citations

Görtz, Magdalena, Joanne Nyarangi‐Dix, Viktoria Schütz, et al.. (2022). Impact of Surgeon’s Experience in Rigid versus Elastic MRI/TRUS-Fusion Biopsy to Detect Significant Prostate Cancer Using Targeted and Systematic Cores. Cancers. 14(4). 886–886. 5 indexed citations

Hielscher, Thomas, Magdalena Görtz, Tristan Anselm Kuder, et al.. (2022). Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer. Radiology. 306(1). 186–199. 34 indexed citations

Wiesenfarth, Manuel, Vivienn Weru, Stephan Tschirdewahn, et al.. (2022). Detection of Clinically Significant Prostate Cancer Using Targeted Biopsy with Four Cores Versus Target Saturation Biopsy with Nine Cores in Transperineal Prostate Fusion Biopsy: A Prospective Randomized Trial. European Urology Oncology. 6(1). 49–55. 13 indexed citations

Wang, Xianfeng, Thomas Hielscher, Jan Philipp Radtke, et al.. (2021). Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer. European Journal of Radiology. 136. 109538–109538. 11 indexed citations

Görtz, Magdalena, Jan Philipp Radtke, Gencay Hatiboglu, et al.. (2020). The value of PSA density in PI-RADS 3 lesions on multiparametric MRI - a strategy to avoid unnecessary prostate biopsies. European Urology Open Science. 19. e1721–e1721. 1 indexed citations

Tschirdewahn, Stephan, Manuel Wiesenfarth, David Bonekamp, et al.. (2020). Detection of Significant Prostate Cancer Using Target Saturation in Transperineal Magnetic Resonance Imaging/Transrectal Ultrasonography–fusion Biopsy. European Urology Focus. 7(6). 1300–1307. 49 indexed citations

Darr, Christopher, Manuel Wiesenfarth, Francesco Giganti, et al.. (2020). Three-dimensional Magnetic Resonance Imaging–based Printed Models of Prostate Anatomy and Targeted Biopsy-proven Index Tumor to Facilitate Patient-tailored Radical Prostatectomy—A Feasibility Study. European Urology Oncology. 5(3). 357–361. 8 indexed citations

10.

Schelb, Patrick, Thomas Hielscher, Magdalena Görtz, et al.. (2020). Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 193(5). 559–573. 19 indexed citations

11.

Schelb, Patrick, Simon Köhl, Jan Philipp Radtke, et al.. (2019). Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment. Radiology. 293(3). 607–617. 230 indexed citations breakdown →

12.

Bickelhaupt, Sebastian, Paul F. Jaeger, Frederik B. Laun, et al.. (2018). Radiomics Based on Adapted Diffusion Kurtosis Imaging Helps to Clarify Most Mammographic Findings Suspicious for Cancer. Radiology. 287(3). 761–770. 81 indexed citations

13.

Wick, Wolfgang, Antje Wick, Martha Nowosielski, et al.. (2017). VXM01 phase I study in patients with resectable progression of a glioblastoma.. Journal of Clinical Oncology. 35(15_suppl). 2061–2061. 4 indexed citations

14.

Kickingereder, Philipp, Michael Götz, John Muschelli, et al.. (2016). Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response. Clinical Cancer Research. 22(23). 5765–5771. 206 indexed citations

15.

Kickingereder, Philipp, David Bonekamp, Martha Nowosielski, et al.. (2016). Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features. Radiology. 281(3). 907–918. 229 indexed citations

16.

Kickingereder, Philipp, Alexander Radbruch, Sina Burth, et al.. (2016). MR-perfusion derived hemodynamic parametric response mapping of bevacizumab efficacy in recurrent glioblastoma. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 188(S 01). 1 indexed citations

17.

Burth, Sina, Philipp Kickingereder, Oliver Eidel, et al.. (2016). Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma. Neuro-Oncology. 18(12). 1673–1679. 36 indexed citations

18.

Siddiqui, Adeel, Paul Nagy, David Bonekamp, & Keith J. Dreyer. (2014). Changes to Stage 1 Meaningful Use in 2014: Impact on Radiologists. Journal of Digital Imaging. 27(3). 292–296. 1 indexed citations

19.

Bonekamp, David, Joshua D. Smith, & Nafi Aygün. (2008). Avid FDG uptake in a rapidly enlarging common carotid artery mycotic aneurysm, mimicking lymphadenopathy. Emergency Radiology. 16(5). 383–386. 6 indexed citations

20.

Nagae‐Poetscher, Lidia M., David Bonekamp, Peter B. Barker, et al.. (2003). Asymmetry and gender effect in functionally lateralized cortical regions: A proton MRS imaging study. Journal of Magnetic Resonance Imaging. 19(1). 27–33. 44 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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