Thomas Asklund

1.5k citations
30 papers · 1.1k · h-index 18

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

Thomas Asklund

29 papers receiving 1.1k citations

Peers

Thomas Asklund
Comparison fields: 5 of 120
  • Genetics 187
  • Radiology, Nuclear Medicine and Imaging 367
  • Radiation 129
  • Neurology 36
  • Cancer Research 56
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Citations per year

Countries citing papers authored by Thomas Asklund

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Thomas Asklund Line = papers co-authored together Thomas Asklund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 2017127
3 2011127
4 201267
5 201467
6 200366
7 201355
8 201453
9 200450
10 201346
11
Synergistic killing of glioblastoma stem-like cells by bortezomib and HDAC inhibitors.
201243
12 201239
13 201530
14 201126
15 201225
16 201925
17 200725
18 201424
19 201716
20 201213

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 (187 citations), Radiology, Nuclear Medicine and Imaging (367 citations), Radiation (129 citations), Neurology (36 citations) and Cancer Research (56 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 Johan Trygg. Their work appears in journals such as Medical Physics, Acta Oncologica, Magnetic Resonance Materials in Physics Biology and Medicine, Experimental Cell Research and Radiotherapy and 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.

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