David L. Buckley
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Pulmonary and Respiratory Medicine top 2%
- Materials Chemistry top 10%
- Biomedical Engineering top 5%
- Genetics top 2%
- Co-authors
- Geoff J.M. ParkerSteven SourbronRuediger E. PortMichael V. KnoppElizabeth HendersonRobert M. WeisskoffTing-Yim LeeJune S. Taylor
- Topics
- MRI in cancer diagnosis (83 papers)Advanced MRI Techniques and Applications (80 papers)Radiomics and Machine Learning in Medical Imaging (33 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David L. Buckley
128 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 7.0k
- Pulmonary and Respiratory Medicine 1.4k
- Materials Chemistry 649
- Biomedical Engineering 550
- Genetics 508
Countries citing papers authored by David L. Buckley
This map shows the geographic impact of David L. Buckley'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 L. Buckley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Buckley more than expected).
Fields of papers citing papers by David L. Buckley
This network shows the impact of papers produced by David L. Buckley. 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 L. Buckley. The network helps show where David L. Buckley may publish in the future.
Co-authorship network of co-authors of David L. Buckley
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Buckley. A scholar is included among the top collaborators of David L. Buckley 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 L. Buckley. David L. Buckley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 86 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 34 | |
| 18 | Blockade of PDGF receptor beta by CDP860, a humanized, PEGylated di-Fab', leads to fluid accumulation and increased tumor vascularised volume | 1 |
| 19 | The Microvascular characteristics of prostate cancer revealed by dynamic contrast-enhanced T1-weighted MRI | 2 |
| 20 | 139 |
About David L. Buckley
David L. Buckley is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 132 papers that have together received 8.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (83 papers), Advanced MRI Techniques and Applications (80 papers) and Radiomics and Machine Learning in Medical Imaging (33 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (7.0k citations), Genetics (508 citations) and Pulmonary and Respiratory Medicine (1.4k citations). David L. Buckley has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Geoff J.M. Parker, Steven Sourbron, Ruediger E. Port, Michael V. Knopp, Elizabeth Henderson, Robert M. Weisskoff, Ting-Yim Lee, June S. Taylor, Gunnar Brix and Paul S. Tofts. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Stroke.
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.