Thomas Urup
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Genetics 27
- Glioma Diagnosis and Treatment 26
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- Cancer, Hypoxia, and Metabolism 8
- Cancer Genomics and Diagnostics 3
- Co-authors
- Hans Skovgaard Poulsen (27 shared papers)Lars Rønn Olsen (4 shared papers)Benito Campos (1 shared paper)Ulrik Lassen (17 shared papers)Signe Regner Michaelsen (12 shared papers)Helle Broholm (11 shared papers)Kirsten Grunnet (12 shared papers)Ib Jarle Christensen (11 shared papers)
- Journals
- Neuro-Oncology (5 papers)Neuro-Oncology Advances (4 papers)Molecular Oncology (2 papers)Scientific Reports (2 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Thomas Urup
29 papers receiving 579 citations
Peers
Comparison fields: 5 of 60
- Genetics 366
- Cancer Research 171
- Radiology, Nuclear Medicine and Imaging 155
- Pulmonary and Respiratory Medicine 120
- Structural Biology 5
Countries citing papers authored by Thomas Urup
This map shows the geographic impact of Thomas Urup'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 Urup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Urup more than expected).
Fields of papers citing papers by Thomas Urup
This network shows the impact of papers produced by Thomas Urup. 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 Urup. The network helps show where Thomas Urup may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Urup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 164 | |
| 2 | 2018 | 59 | |
| 3 | 2016 | 50 | |
| 4 | 2019 | 41 | |
| 5 | 2014 | 33 | |
| 6 | 2018 | 30 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2009 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2018 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2015 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 4 |
About Thomas Urup
Thomas Urup is a scholar working on Genetics, Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 30 papers that have together received 585 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Nanoplatforms for cancer theranostics (6 papers), Brain Metastases and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Meningioma and schwannoma management (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Genetics (366 citations), Cancer Research (171 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Pulmonary and Respiratory Medicine (120 citations) and Structural Biology (5 citations). Thomas Urup has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Hans Skovgaard Poulsen, Lars Rønn Olsen, Benito Campos, Ulrik Lassen, Signe Regner Michaelsen, Helle Broholm, Kirsten Grunnet, Ib Jarle Christensen, Ian Law and Vibeke Andrée Larsen. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, Molecular Oncology, Scientific Reports and Journal of Neuro-Oncology.
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.