Daniela Kuhnt

1.2k total citations
17 papers, 704 citations indexed

About

Daniela Kuhnt is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Daniela Kuhnt has authored 17 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Daniela Kuhnt's work include Glioma Diagnosis and Treatment (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and MRI in cancer diagnosis (5 papers). Daniela Kuhnt is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and MRI in cancer diagnosis (5 papers). Daniela Kuhnt collaborates with scholars based in Germany, Czechia and United States. Daniela Kuhnt's co-authors include Christopher Nimsky, M. Bauer, Oliver Ganslandt, Michael Buchfelder, Andreas Becker, Dorit Merhof, Sven-Martin Schlaffer, Alwin E. Goetz, Félix Schmid and Daniel A. Reuter and has published in prestigious journals such as PLoS ONE, Neurosurgery and Anesthesia & Analgesia.

In The Last Decade

Daniela Kuhnt

17 papers receiving 692 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Kuhnt Germany 12 349 328 178 138 98 17 704
Jared Pisapia United States 16 369 1.1× 278 0.8× 83 0.5× 88 0.6× 131 1.3× 31 882
Boris von Keller Germany 11 289 0.8× 397 1.2× 328 1.8× 67 0.5× 165 1.7× 20 779
David T. Gering United States 10 450 1.3× 211 0.6× 101 0.6× 287 2.1× 248 2.5× 16 984
Vivek Mehta United States 8 237 0.7× 175 0.5× 83 0.5× 143 1.0× 58 0.6× 14 579
Komal Shah United States 16 202 0.6× 327 1.0× 304 1.7× 51 0.4× 128 1.3× 38 937
Walid Ibn Essayed United States 18 546 1.6× 167 0.5× 200 1.1× 90 0.7× 208 2.1× 63 1.1k
Antonios Valavanis Switzerland 15 260 0.7× 116 0.4× 204 1.1× 85 0.6× 72 0.7× 27 638
T. Cox United Kingdom 13 123 0.4× 149 0.5× 103 0.6× 100 0.7× 80 0.8× 19 676
Giannantonio Spena Italy 15 166 0.5× 293 0.9× 249 1.4× 56 0.4× 129 1.3× 57 665
Prashin Unadkat United States 14 391 1.1× 126 0.4× 68 0.4× 61 0.4× 73 0.7× 31 668

Countries citing papers authored by Daniela Kuhnt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniela Kuhnt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Kuhnt. A scholar is included among the top collaborators of Daniela Kuhnt 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 Daniela Kuhnt. Daniela Kuhnt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kuhnt, Daniela, M. Bauer, Oliver Ganslandt, & Christopher Nimsky. (2013). Functional imaging: where do we go from here?. PubMed. 57(1). 1–11. 13 indexed citations
2.
Kuhnt, Daniela, M. Bauer, Jens Sommer, Dorit Merhof, & Christopher Nimsky. (2013). Optic Radiation Fiber Tractography in Glioma Patients Based on High Angular Resolution Diffusion Imaging with Compressed Sensing Compared with Diffusion Tensor Imaging - Initial Experience. PLoS ONE. 8(7). e70973–e70973. 38 indexed citations
3.
Bauer, M., Daniela Kuhnt, Sebastiano Barbieri, et al.. (2013). Reconstruction of White Matter Tracts via Repeated Deterministic Streamline Tracking – Initial Experience. PLoS ONE. 8(5). e63082–e63082. 10 indexed citations
4.
Becker, Andreas, Daniela Kuhnt, Udo Bakowsky, & Christopher Nimsky. (2012). Contrast-Enhanced Ultrasound Ventriculography. Operative Neurosurgery. 71(2 Suppl Operative). ons296–ons301. 3 indexed citations
5.
Kuhnt, Daniela, M. Bauer, & Christopher Nimsky. (2012). Brain Shift Compensation and Neurosurgical Image Fusion Using Intraoperative MRI: Current Status and Future Challenges. Critical Reviews in Biomedical Engineering. 40(3). 175–185. 58 indexed citations
6.
Kuhnt, Daniela. (2012). ERRATA. Neurosurgery. 73(5). E913–E913. 61 indexed citations
7.
Benes, Ludwig, Christopher Nimsky, Daniela Kuhnt, & Andreas Becker. (2012). Reversible Cortical Blindness and Internuclear Ophthalmoplegia after Neurosurgical Operation: Case Report and Review of the Literature. Journal of Neurological Surgery Part A Central European Neurosurgery. 74(S 01). e128–e132. 5 indexed citations
8.
Kuhnt, Daniela, Oliver Ganslandt, Sven-Martin Schlaffer, Michael Buchfelder, & Christopher Nimsky. (2011). Quantification of Glioma Removal by Intraoperative High-Field Magnetic Resonance Imaging: An Update. Neurosurgery. 69(4). 852–863. 54 indexed citations
9.
Kuhnt, Daniela, Andreas Becker, Oliver Ganslandt, et al.. (2011). Correlation of the extent of tumor volume resection and patient survival in surgery of glioblastoma multiforme with high-field intraoperative MRI guidance. Neuro-Oncology. 13(12). 1339–1348. 234 indexed citations
10.
Kuhnt, Daniela, M. Bauer, Andreas Becker, et al.. (2011). Intraoperative Visualization of Fiber Tracking Based Reconstruction of Language Pathways in Glioma Surgery. Neurosurgery. 70(4). 911–920. 62 indexed citations
11.
Zukić, Dženan, Jan Egger, M. Bauer, et al.. (2011). Preoperative volume determination for pituitary adenoma. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79632T–79632T. 7 indexed citations
12.
Schmid, Félix, Matthias S. Goepfert, Daniela Kuhnt, et al.. (2010). The Wolf Is Crying in the Operating Room. Anesthesia & Analgesia. 112(1). 78–83. 74 indexed citations
13.
Becker, Andreas, et al.. (2010). Ultrasound active nanoscaled lipid formulations for thrombus lysis. European Journal of Pharmaceutics and Biopharmaceutics. 77(3). 424–429. 11 indexed citations
14.
Nimsky, Christopher, Daniela Kuhnt, Oliver Ganslandt, & Michael Buchfelder. (2010). Multimodal Navigation Integrated with Imaging. Acta neurochirurgica. Supplementum. 109. 207–214. 24 indexed citations
15.
Kuhnt, Daniela, Oliver Ganslandt, Michael Buchfelder, & Christopher Nimsky. (2010). Multimodal Navigation in Glioma Surgery. Current Medical Imaging Formerly Current Medical Imaging Reviews. 6(4). 259–265. 1 indexed citations
16.
Bauer, M., Sebastiano Barbieri, Jan Klein, et al.. (2010). Boundary estimation of fiber bundles derived from diffusion tensor images. International Journal of Computer Assisted Radiology and Surgery. 6(1). 1–11. 24 indexed citations
17.
Nimsky, Christopher, Boris von Keller, Sven Schlaffer, et al.. (2008). Updating Navigation With Intraoperative Image Data. Topics in Magnetic Resonance Imaging. 19(4). 197–204. 25 indexed citations

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.

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