Svend Hvidsten
Impact in
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- Cardiomyopathy and Myosin Studies
- Viral Infections and Immunology Research
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- Inflammatory Myopathies and Dermatomyositis
Papers in
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- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Christina BaunJane Angel SimonsenDitte Caroline AndersenCharlotte Harken JensenJens Ahm SørensenFelix B. EngelDavid C. ZebrowskiMads Gustaf Jørgensen
In The Last Decade
Svend Hvidsten
24 papers receiving 319 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 75
- Epidemiology 108
- Neurology 23
- Oncology 62
- Rheumatology 32
Countries citing papers authored by Svend Hvidsten
This map shows the geographic impact of Svend Hvidsten'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 Svend Hvidsten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svend Hvidsten more than expected).
Fields of papers citing papers by Svend Hvidsten
This network shows the impact of papers produced by Svend Hvidsten. 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 Svend Hvidsten. The network helps show where Svend Hvidsten may publish in the future.
Co-authors
The 25 scholars most cited alongside Svend Hvidsten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 29 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 18 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 3 | |
| 14 | 2016 | 33 | |
| 15 | 2015 | 23 | |
| 16 | 2015 | 10 | |
| 17 | 2015 | 2 | |
| 18 | Cardiac abnormalities assessed by non-invasive techniques in patients with newly diagnosed idiopathic inflammatory myopathies. | 2015 | 30 |
| 19 | 2015 | 49 | |
| 20 | Fully Automated Radiosynthesis and Formulation of [11C]MeAIB Applied for In Vivo Imaging of Glioblastoma | 2013 | 1 |
About Svend Hvidsten
Svend Hvidsten is a scholar working on Structural Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Rheumatology, having authored 27 papers that have together received 320 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (7 papers), Medical Imaging Techniques and Applications (6 papers), Inflammatory Myopathies and Dermatomyositis (5 papers), Congenital heart defects research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Genetic Syndromes and Imprinting (2 papers) and Muscle and Compartmental Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (75 citations), Epidemiology (108 citations), Neurology (23 citations), Oncology (62 citations) and Rheumatology (32 citations). Svend Hvidsten has collaborated with scholars based in Denmark, Sweden and Germany. Frequent co-authors include Christina Baun, Jane Angel Simonsen, Ditte Caroline Andersen, Charlotte Harken Jensen, Jens Ahm Sørensen, Felix B. Engel, David C. Zebrowski, Mads Gustaf Jørgensen, Søren Jacobsen and Louise Pyndt Diederichsen. Their work appears in journals such as Scientific Reports, Annals of the Rheumatic Diseases, Zeitschrift für Medizinische Physik, Journal of Molecular and Cellular Cardiology and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.