Juliane Goebel
- Internal Medicine top 10%
-
- Cardiac Imaging and Diagnostics 7
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 2
-
- Acute Ischemic Stroke Management 5
-
- Cerebrovascular and Carotid Artery Diseases 4
-
- Atomic and Subatomic Physics Research 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Kai NaßensteinFelix NensaThomas SchlosserThorsten D. PoeppelErcan TezgahAlexander RadbruchPhilipp HeuschMichael Forsting
- Cited by
- Internal MedicineRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- GermanySwitzerlandBulgaria
In The Last Decade
Juliane Goebel
19 papers receiving 477 citations
Peers
Comparison fields: 5 of 56
- Internal Medicine 50
- Radiology, Nuclear Medicine and Imaging 221
- Cardiology and Cardiovascular Medicine 158
- Epidemiology 203
- Health Informatics 7
Countries citing papers authored by Juliane Goebel
This map shows the geographic impact of Juliane Goebel'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 Juliane Goebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliane Goebel more than expected).
Fields of papers citing papers by Juliane Goebel
This network shows the impact of papers produced by Juliane Goebel. 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 Juliane Goebel. The network helps show where Juliane Goebel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juliane Goebel, 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 | 2024 | 1 | |
| 2 | 2022 | 0 | |
| 3 | 2020 | 35 | |
| 4 | 2019 | 8 | |
| 5 | 2019 | 8 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 66 | |
| 8 | 2018 | 49 | |
| 9 | 2018 | 9 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 21 | |
| 12 | 2017 | 10 | |
| 13 | 2016 | 120 | |
| 14 | 2016 | 32 | |
| 15 | 2016 | 25 | |
| 16 | 2016 | 15 | |
| 17 | 2016 | 18 | |
| 18 | 2016 | 7 | |
| 19 | 2016 | 15 | |
| 20 | 2016 | 29 |
About Juliane Goebel
Juliane Goebel is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Neurology, having authored 20 papers that have together received 483 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Advanced MRI Techniques and Applications (7 papers), Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Atomic and Subatomic Physics Research (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Internal Medicine (50 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Cardiology and Cardiovascular Medicine (158 citations). Juliane Goebel has collaborated with scholars based in Germany, Switzerland and Bulgaria. Frequent co-authors include Kai Naßenstein, Felix Nensa, Thomas Schlosser, Thorsten D. Poeppel, Ercan Tezgah, Alexander Radbruch, Philipp Heusch, Michael Forsting, Christoph Kleinschnitz and Harald H. Quick. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.