Wolfgang Luboldt
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Epidemiology
- Co-authors
- Peter BauerfeindAlexander KlugeThomas J. VoglJ. F. DebatinGeorg BachmannJoel G. FletcherMichael FriedP. Steiner
- Topics
- Radiomics and Machine Learning in Medical Imaging (24 papers)Colorectal Cancer Screening and Detection (21 papers)MRI in cancer diagnosis (13 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Wolfgang Luboldt
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 681
- Oncology 569
- Pulmonary and Respiratory Medicine 537
- Surgery 437
- Epidemiology 116
Countries citing papers authored by Wolfgang Luboldt
This map shows the geographic impact of Wolfgang Luboldt'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 Wolfgang Luboldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Luboldt more than expected).
Fields of papers citing papers by Wolfgang Luboldt
This network shows the impact of papers produced by Wolfgang Luboldt. 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 Wolfgang Luboldt. The network helps show where Wolfgang Luboldt may publish in the future.
Co-authorship network of co-authors of Wolfgang Luboldt
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Luboldt. A scholar is included among the top collaborators of Wolfgang Luboldt 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 Wolfgang Luboldt. Wolfgang Luboldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 34 | |
| 7 | 84 | |
| 8 | 26 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | Online interpretation during MR colonography: comparison of 3D virtual double contrast display and shaded surface display | 1 |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 24 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 44 | |
| 19 | 14 | |
| 20 | 2 |
About Wolfgang Luboldt
Wolfgang Luboldt is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Colorectal Cancer Screening and Detection (21 papers) and MRI in cancer diagnosis (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (681 citations), Oncology (569 citations) and Internal Medicine (69 citations). Wolfgang Luboldt has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Peter Bauerfeind, Alexander Kluge, Thomas J. Vogl, J. F. Debatin, Georg Bachmann, Joel G. Fletcher, Michael Fried, P. Steiner, Marcus D. Seemann and Jörg F. Debatin. Their work appears in journals such as The Lancet, Radiology and American Journal of Roentgenology.
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.