Susanne Kohlfürst
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Epidemiology
- Co-authors
- Peter LindE. KresnikI. IgercH. J. GallowitschS. MatschnigMichael NaderChristian PirichWerner Langsteger
- Topics
- Thyroid Cancer Diagnosis and Treatment (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Medical Imaging Techniques and Applications (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- European Journal of Nuclear Medicine and Molecular ImagingEuropean RadiologySeminars in Nuclear Medicine
- Partner nations
- AustriaAustraliaSouth Korea
In The Last Decade
Susanne Kohlfürst
13 papers receiving 275 citations
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 147
- Endocrinology, Diabetes and Metabolism 131
- Pulmonary and Respiratory Medicine 85
- Surgery 70
- Epidemiology 54
Countries citing papers authored by Susanne Kohlfürst
This map shows the geographic impact of Susanne Kohlfürst'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 Susanne Kohlfürst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Kohlfürst more than expected).
Fields of papers citing papers by Susanne Kohlfürst
This network shows the impact of papers produced by Susanne Kohlfürst. 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 Susanne Kohlfürst. The network helps show where Susanne Kohlfürst may publish in the future.
Co-authorship network of co-authors of Susanne Kohlfürst
This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Kohlfürst. A scholar is included among the top collaborators of Susanne Kohlfürst 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 Susanne Kohlfürst. Susanne Kohlfürst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Diagnostik des medullären Schilddrüsenkarzinoms: Von Biomarkern zur molekularen Bildgebung | 0 |
| 3 | 2 | |
| 4 | 79 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 85 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 77 | |
| 13 | 1 | |
| 14 | 1 |
About Susanne Kohlfürst
Susanne Kohlfürst is a scholar working on Anatomy, Otorhinolaryngology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 287 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (131 citations), Radiology, Nuclear Medicine and Imaging (147 citations) and Pulmonary and Respiratory Medicine (85 citations). Susanne Kohlfürst has collaborated with scholars based in Austria, Australia and South Korea. Frequent co-authors include Peter Lind, E. Kresnik, Peter Lind, I. Igerc, H. J. Gallowitsch, S. Matschnig, Michael Nader, Christian Pirich, Werner Langsteger and Reza Vali. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, European Radiology and Seminars in Nuclear Medicine.
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.