Thomas Asklund
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- MRI in cancer diagnosis 3
- Advanced MRI Techniques and Applications 2
- Genetics 7
- Glioma Diagnosis and Treatment 7
- Co-authors
- Tufve Nyholm (12 shared papers)Anders Garpebring (9 shared papers)Roger Henriksson (12 shared papers)Patrik Brynolfsson (6 shared papers)Adam Johansson (7 shared papers)Mikael Karlsson (7 shared papers)Hans Skovgaard Poulsen (2 shared papers)Tommy Löfstedt (2 shared papers)
In The Last Decade
Thomas Asklund
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Genetics 179
- Radiology, Nuclear Medicine and Imaging 345
- Radiation 127
- Cancer Research 54
- Neurology 26
Countries citing papers authored by Thomas Asklund
This map shows the geographic impact of Thomas Asklund'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 Asklund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Asklund more than expected).
Fields of papers citing papers by Thomas Asklund
This network shows the impact of papers produced by Thomas Asklund. 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 Asklund. The network helps show where Thomas Asklund may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Asklund, 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 | 2019 | 147 | |
| 2 | 2017 | 121 | |
| 3 | 2011 | 121 | |
| 4 | 2012 | 65 | |
| 5 | 2014 | 65 | |
| 6 | 2003 | 61 | |
| 7 | 2013 | 53 | |
| 8 | 2014 | 52 | |
| 9 | 2004 | 48 | |
| 10 | 2013 | 45 | |
| 11 | Synergistic killing of glioblastoma stem-like cells by bortezomib and HDAC inhibitors. | 2012 | 42 |
| 12 | 2012 | 37 | |
| 13 | 2015 | 28 | |
| 14 | 2012 | 25 | |
| 15 | 2019 | 25 | |
| 16 | 2011 | 25 | |
| 17 | 2007 | 25 | |
| 18 | 2014 | 23 | |
| 19 | 2017 | 16 | |
| 20 | 2012 | 13 |
About Thomas Asklund
Thomas Asklund is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology, Radiation and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Radiotherapy Techniques (4 papers), MRI in cancer diagnosis (3 papers), Connexins and lens biology (3 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Genetics (179 citations), Radiology, Nuclear Medicine and Imaging (345 citations), Radiation (127 citations), Cancer Research (54 citations) and Neurology (26 citations). Thomas Asklund has collaborated with scholars based in Sweden, Denmark and Norway. Frequent co-authors include Tufve Nyholm, Anders Garpebring, Roger Henriksson, Patrik Brynolfsson, Adam Johansson, Mikael Karlsson, Hans Skovgaard Poulsen, Tommy Löfstedt, David Nilsson and Jun Yu. Their work appears in journals such as Medical Physics, Acta Oncologica, Neuro-Oncology, Magnetic Resonance Materials in Physics Biology and Medicine and Experimental Cell Research.
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.