Sina Burth
Impact in
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- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
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- MRI in cancer diagnosis 11
- Advanced MRI Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 5
- Genetics 10
- Glioma Diagnosis and Treatment 10
- Co-authors
- Wolfgang Wick (18 shared papers)Martin Bendszus (16 shared papers)Alexander Radbruch (16 shared papers)Philipp Kickingereder (13 shared papers)Heinz-Peter Schlemmer (10 shared papers)Oliver Eidel (9 shared papers)Sabine Heiland (7 shared papers)Antje Wick (8 shared papers)
In The Last Decade
Sina Burth
18 papers receiving 1.6k citations
Sina Burth's Hit Papers
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 1.4k
- Genetics 579
- Biophysics 128
- Health Informatics 28
- Materials Chemistry 597
Countries citing papers authored by Sina Burth
This map shows the geographic impact of Sina Burth'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 Sina Burth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Burth more than expected).
Fields of papers citing papers by Sina Burth
This network shows the impact of papers produced by Sina Burth. 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 Sina Burth. The network helps show where Sina Burth may publish in the future.
Co-authors
The 25 scholars most cited alongside Sina Burth, 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 | Gadolinium Retention in the Dentate Nucleus and Globus Pallidus Is Dependent on the Class of Contrast Agent Hit paper breakdown → | 2015 | 432 |
| 2 | Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models Hit paper breakdown → | 2016 | 321 |
| 3 | 2016 | 229 | |
| 4 | 2015 | 173 | |
| 5 | 2017 | 109 | |
| 6 | 2016 | 108 | |
| 7 | 2015 | 69 | |
| 8 | 2015 | 40 | |
| 9 | 2016 | 36 | |
| 10 | 2015 | 35 | |
| 11 | 2016 | 31 | |
| 12 | 2014 | 25 | |
| 13 | 2015 | 20 | |
| 14 | 2021 | 15 | |
| 15 | 2023 | 7 | |
| 16 | 2016 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2015 | 1 |
About Sina Burth
Sina Burth is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Materials Chemistry and Neurology, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (11 papers), Glioma Diagnosis and Treatment (10 papers), Advanced MRI Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lanthanide and Transition Metal Complexes (4 papers), Acute Ischemic Stroke Management (3 papers), Brain Metastases and Treatment (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Genetics (579 citations), Biophysics (128 citations), Health Informatics (28 citations) and Materials Chemistry (597 citations). Sina Burth has collaborated with scholars based in Germany and Austria. Frequent co-authors include Wolfgang Wick, Martin Bendszus, Alexander Radbruch, Philipp Kickingereder, Heinz-Peter Schlemmer, Oliver Eidel, Sabine Heiland, Antje Wick, Pascal J. Kieslich and David Bonekamp. Their work appears in journals such as Radiology, PLoS ONE, Neuro-Oncology, European Journal of Radiology and Magnetic Resonance in 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.