Daniela Kuhnt
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Advanced Neuroimaging Techniques and Applications 8
- MRI in cancer diagnosis 5
- Advanced MRI Techniques and Applications 5
- Genetics 9
- Glioma Diagnosis and Treatment 9
- Co-authors
- Christopher Nimsky (15 shared papers)M. Bauer (8 shared papers)Oliver Ganslandt (7 shared papers)Michael Buchfelder (6 shared papers)Andreas Becker (6 shared papers)Dorit Merhof (2 shared papers)Sven-Martin Schlaffer (1 shared paper)Félix Schmid (1 shared paper)
- Journals
- Neurosurgery (3 papers)PLoS ONE (2 papers)Anesthesia & Analgesia (1 paper)Operative Neurosurgery (1 paper)European Journal of Pharmaceutics and Biopharmaceutics (1 paper)
- Partner nations
- GermanyCzechiaUnited States
In The Last Decade
Daniela Kuhnt
17 papers receiving 692 citations
Peers
Comparison fields: 5 of 76
- Genetics 328
- Radiology, Nuclear Medicine and Imaging 349
- Medical Laboratory Technology 23
- Computational Mathematics 7
- Neurology 86
Countries citing papers authored by Daniela Kuhnt
This map shows the geographic impact of Daniela Kuhnt'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 Daniela Kuhnt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Kuhnt more than expected).
Fields of papers citing papers by Daniela Kuhnt
This network shows the impact of papers produced by Daniela Kuhnt. 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 Daniela Kuhnt. The network helps show where Daniela Kuhnt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Kuhnt, 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 | 2011 | 234 | |
| 2 | 2010 | 74 | |
| 3 | 2011 | 62 | |
| 4 | 2012 | 61 | |
| 5 | 2012 | 58 | |
| 6 | 2011 | 54 | |
| 7 | 2013 | 38 | |
| 8 | 2008 | 25 | |
| 9 | 2010 | 24 | |
| 10 | 2010 | 24 | |
| 11 | Functional imaging: where do we go from here? | 2013 | 13 |
| 12 | 2010 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2011 | 7 | |
| 15 | 2012 | 5 | |
| 16 | 2012 | 3 | |
| 17 | 2010 | 1 |
About Daniela Kuhnt
Daniela Kuhnt is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Epidemiology, Neurology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 704 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), MRI in cancer diagnosis (5 papers), Advanced MRI Techniques and Applications (5 papers), Meningioma and schwannoma management (4 papers), Fetal and Pediatric Neurological Disorders (3 papers), Pituitary Gland Disorders and Treatments (1 paper) and Vascular Malformations Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (328 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Medical Laboratory Technology (23 citations), Computational Mathematics (7 citations) and Neurology (86 citations). Daniela Kuhnt has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Christopher Nimsky, M. Bauer, Oliver Ganslandt, Michael Buchfelder, Andreas Becker, Dorit Merhof, Sven-Martin Schlaffer, Félix Schmid, Alwin E. Goetz and Volker Eichhorn. Their work appears in journals such as Neurosurgery, PLoS ONE, Anesthesia & Analgesia, Operative Neurosurgery and European Journal of Pharmaceutics and Biopharmaceutics.
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.