Thomas Levin Klausen
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Cancer Research top 10%
- Biomedical Engineering
- Co-authors
- Søren HolmLiselotte HøjgaardFlemming Littrup AndersenAnnika LoftAnne Kiil BerthelsenAndreas KjærThomas BeyerBente Klarlund Pedersen
- Topics
- Medical Imaging Techniques and Applications (21 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Advanced MRI Techniques and Applications (7 papers)
- Partner nations
- DenmarkUnited KingdomFrance
In The Last Decade
Thomas Levin Klausen
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 659
- Pulmonary and Respiratory Medicine 267
- Oncology 211
- Cancer Research 181
- Biomedical Engineering 156
Countries citing papers authored by Thomas Levin Klausen
This map shows the geographic impact of Thomas Levin Klausen'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 Thomas Levin Klausen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Levin Klausen more than expected).
Fields of papers citing papers by Thomas Levin Klausen
This network shows the impact of papers produced by Thomas Levin Klausen. 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 Thomas Levin Klausen. The network helps show where Thomas Levin Klausen may publish in the future.
Co-authorship network of co-authors of Thomas Levin Klausen
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Levin Klausen. A scholar is included among the top collaborators of Thomas Levin Klausen 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 Thomas Levin Klausen. Thomas Levin Klausen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 24 | |
| 4 | 69 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 96 | |
| 10 | 53 | |
| 11 | 49 | |
| 12 | 26 | |
| 13 | 106 | |
| 14 | Innovations in PET/CT. | 7 |
| 15 | 20 | |
| 16 | 16 | |
| 17 | 123 | |
| 18 | 12 | |
| 19 | 100 | |
| 20 | 27 |
About Thomas Levin Klausen
Thomas Levin Klausen is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Cancer Research, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (21 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (659 citations), Radiation (136 citations) and Cancer Research (181 citations). Thomas Levin Klausen has collaborated with scholars based in Denmark, United Kingdom and France. Frequent co-authors include Søren Holm, Liselotte Højgaard, Flemming Littrup Andersen, Annika Loft, Anne Kiil Berthelsen, Andreas Kjær, Thomas Beyer, Bente Klarlund Pedersen, Adam E. Hansen and Troels Dirch Poulsen. Their work appears in journals such as The Journal of Physiology, Annals of Surgery and Annals of the Rheumatic Diseases.
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.