David Bonekamp
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- MRI in cancer diagnosis 36
- Radiomics and Machine Learning in Medical Imaging 31
- Advanced MRI Techniques and Applications 23
- Advanced Neuroimaging Techniques and Applications 12
- Genetics top 1%
- Glioma Diagnosis and Treatment 20
- Health Informatics top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Prostate Cancer Diagnosis and Treatment 60
- Prostate Cancer Treatment and Research 43
- Rheumatology top 1%
- Urologic and reproductive health conditions 20
- Co-authors
- Heinz-Peter SchlemmerPhilipp KickingerederKlaus Maier‐HeinMarkus HohenfellnerHeinz‐Peter SchlemmerJan Philipp RadtkeWolfgang WickMartin Bendszus
- Journals
- Journal of Magnetic Resonance Imaging (12 papers)Radiology (9 papers)European Radiology (6 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
David Bonekamp
127 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 3.2k
- Genetics 875
- Health Informatics 106
- Pulmonary and Respiratory Medicine 2.3k
- Rheumatology 780
Countries citing papers authored by David Bonekamp
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
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
The 25 scholars most cited alongside David Bonekamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 34 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 49 | |
| 10 | 2020 | 8 | |
| 11 | Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessmentbreakdown → | 2019 | 230 |
| 12 | 2019 | 11 | |
| 13 | 2016 | 206 | |
| 14 | 2016 | 117 | |
| 15 | 2015 | 17 | |
| 16 | 2014 | 11 | |
| 17 | 2013 | 37 | |
| 18 | 2013 | 19 | |
| 19 | 2008 | 6 | |
| 20 | 2003 | 44 |
About David Bonekamp
David Bonekamp is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics, having authored 131 papers that have together received 5.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (60 papers), Prostate Cancer Treatment and Research (43 papers), MRI in cancer diagnosis (36 papers), Radiomics and Machine Learning in Medical Imaging (31 papers), Advanced MRI Techniques and Applications (23 papers), Glioma Diagnosis and Treatment (20 papers), Urologic and reproductive health conditions (20 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.2k citations), Genetics (875 citations) and Health Informatics (106 citations). David Bonekamp has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Heinz-Peter Schlemmer, Philipp Kickingereder, Klaus Maier‐Hein, Markus Hohenfellner, Heinz‐Peter Schlemmer, Jan Philipp Radtke, Wolfgang Wick, Martin Bendszus, Antje Wick and Alexander Radbruch. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Radiology, European Radiology, European Journal of Radiology and European Urology Focus.
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.