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
Papers in
-
- Advanced Neuroimaging Techniques and Applications 9
- Advanced MRI Techniques and Applications 3
- MRI in cancer diagnosis 2
- Genetics 10
- Glioma Diagnosis and Treatment 10
- Co-authors
- Christopher Nimsky (18 shared papers)M. Bauer (11 shared papers)Oliver Ganslandt (8 shared papers)Michael Buchfelder (6 shared papers)Andreas Becker (6 shared papers)Dorit Merhof (2 shared papers)Sven-Martin Schlaffer (1 shared paper)Bernd Freisleben (4 shared papers)
- Journals
- PLoS ONE (2 papers)Neurosurgery (2 papers)Neuro-Oncology (1 paper)Topics in Magnetic Resonance Imaging (1 paper)Anesthesia & Analgesia (1 paper)
- Partner nations
- GermanyCzechiaUnited States
In The Last Decade
Daniela Kuhnt
19 papers receiving 729 citations
Peers
Comparison fields: 5 of 76
- Genetics 294
- Radiology, Nuclear Medicine and Imaging 244
- Medical Laboratory Technology 16
- Computational Mathematics 3
- Neurology 54
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 | 248 | |
| 2 | 2010 | 86 | |
| 3 | 2011 | 69 | |
| 4 | 2012 | 69 | |
| 5 | 2011 | 61 | |
| 6 | 2013 | 41 | |
| 7 | 2010 | 37 | |
| 8 | 2008 | 30 | |
| 9 | 2010 | 25 | |
| 10 | 2010 | 24 | |
| 11 | 2010 | 14 | |
| 12 | Functional imaging: where do we go from here? | 2013 | 14 |
| 13 | 2013 | 13 | |
| 14 | 2011 | 7 | |
| 15 | 2012 | 6 | |
| 16 | 2012 | 3 | |
| 17 | 2013 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2011 | 1 |
About Daniela Kuhnt
Daniela Kuhnt is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Surgery, having authored 19 papers that have together received 750 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), MRI in cancer diagnosis (2 papers), Medical Image Segmentation Techniques (2 papers), Fetal and Pediatric Neurological Disorders (1 paper) and Neurological Complications and Syndromes (1 paper). The work is most often cited by research in Genetics (294 citations), Radiology, Nuclear Medicine and Imaging (244 citations), Medical Laboratory Technology (16 citations), Computational Mathematics (3 citations) and Neurology (54 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, Bernd Freisleben, Félix Schmid and Alwin E. Goetz. Their work appears in journals such as PLoS ONE, Neurosurgery, Neuro-Oncology, Topics in Magnetic Resonance Imaging and Anesthesia & Analgesia.
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.