Frank G. Zöllner

3.4k total citations · 1 hit paper
138 papers, 2.2k citations indexed

About

Frank G. Zöllner is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Frank G. Zöllner has authored 138 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Biomedical Engineering and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Frank G. Zöllner's work include Advanced MRI Techniques and Applications (66 papers), MRI in cancer diagnosis (50 papers) and Medical Imaging Techniques and Applications (20 papers). Frank G. Zöllner is often cited by papers focused on Advanced MRI Techniques and Applications (66 papers), MRI in cancer diagnosis (50 papers) and Medical Imaging Techniques and Applications (20 papers). Frank G. Zöllner collaborates with scholars based in Germany, United States and Norway. Frank G. Zöllner's co-authors include Lothar R. Schad, Jakob Nikolas Kather, Cleo‐Aron Weis, Alexander Marx, Susanne Melchers, Timo Gaiser, Francesco Bianconi, Arvid Lundervold, Stefan O. Schoenberg and Kyrre E. Emblem and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Frank G. Zöllner

130 papers receiving 2.2k citations

Hit Papers

Multi-class texture analysis in colorectal cancer histology 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank G. Zöllner Germany 25 1.5k 412 375 313 292 138 2.2k
Ronald L. Wolf United States 39 2.9k 1.9× 296 0.7× 391 1.0× 374 1.2× 565 1.9× 87 4.9k
Kyunghyun Sung United States 23 1.4k 0.9× 208 0.5× 286 0.8× 348 1.1× 510 1.7× 91 2.0k
Sanjeev Chawla United States 33 1.9k 1.3× 232 0.6× 360 1.0× 193 0.6× 244 0.8× 116 3.7k
Raymond F. Muzic United States 29 1.4k 0.9× 230 0.6× 285 0.8× 457 1.5× 326 1.1× 98 3.1k
Enhao Gong United States 26 1.3k 0.8× 205 0.5× 273 0.7× 469 1.5× 202 0.7× 49 2.6k
D. Cavouras Greece 28 987 0.7× 537 1.3× 332 0.9× 472 1.5× 568 1.9× 164 2.4k
Masahiro Oda Japan 26 913 0.6× 372 0.9× 559 1.5× 309 1.0× 557 1.9× 180 3.3k
Keyvan Farahani United States 34 2.5k 1.7× 578 1.4× 1.0k 2.8× 1.1k 3.4× 547 1.9× 87 4.7k
Benedikt Wiestler Germany 38 2.4k 1.6× 198 0.5× 160 0.4× 328 1.0× 746 2.6× 205 4.7k
Daniel Chow United States 28 1.4k 1.0× 527 1.3× 172 0.5× 386 1.2× 447 1.5× 95 2.6k

Countries citing papers authored by Frank G. Zöllner

Since Specialization
Citations

This map shows the geographic impact of Frank G. Zöllner'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 Frank G. Zöllner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank G. Zöllner more than expected).

Fields of papers citing papers by Frank G. Zöllner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank G. Zöllner. 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 Frank G. Zöllner. The network helps show where Frank G. Zöllner may publish in the future.

Co-authorship network of co-authors of Frank G. Zöllner

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

All Works

20 of 20 papers shown
1.
Weis, Meike, et al.. (2025). A groupwise multiresolution network for DCE-MRI image registration. Scientific Reports. 15(1). 9891–9891. 1 indexed citations
2.
Attenberger, Ulrike, et al.. (2025). Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier–Bessel bases. Information Fusion. 127. 103823–103823.
3.
Schepkin, Victor D., et al.. (2024). Sodium triple quantum MR signal extraction using a single‐pulse sequence with single quantum time efficiency. Magnetic Resonance in Medicine. 92(3). 900–915. 1 indexed citations
4.
Licht, Christian, Mark Bydder, Jascha Zapp, et al.. (2024). Low‐rank reconstruction for simultaneous double half‐echo 23Na and undersampled 23Na multi‐quantum coherences MRI. Magnetic Resonance in Medicine. 92(4). 1440–1455.
5.
Caroli, Anna, et al.. (2023). A Multistage Rigid-Affine-Deformable Network for Three-Dimensional Multimodal Medical Image Registration. Applied Sciences. 13(24). 13298–13298. 3 indexed citations
6.
Zapp, Jascha, et al.. (2023). Feasibility of undersampled spiral trajectories in MREPT for fast conductivity imaging. Magnetic Resonance in Medicine. 91(4). 1567–1575. 1 indexed citations
7.
Hesser, Jürgen, et al.. (2023). Comparison of Image Normalization Methods for Multi-Site Deep Learning. Applied Sciences. 13(15). 8923–8923. 8 indexed citations
8.
Zapp, Jascha, et al.. (2023). Functional lung imaging of 2-year-old children after congenital diaphragmatic hernia repair using dynamic mode decomposition MRI. European Radiology. 34(6). 3761–3772. 5 indexed citations
9.
Zapp, Jascha, et al.. (2023). Dynamic mode decomposition of dynamic MRI for assessment of pulmonary ventilation and perfusion. Magnetic Resonance in Medicine. 90(2). 761–769. 9 indexed citations
11.
Schad, Lothar R., et al.. (2022). Phase‐cycled balanced SSFP imaging for non‐contrast‐enhanced functional lung imaging. Magnetic Resonance in Medicine. 88(4). 1764–1774. 6 indexed citations
12.
Qi, Haiyun, et al.. (2021). The number of glomeruli and pyruvate metabolism is not strongly coupled in the healthy rat kidney. Magnetic Resonance in Medicine. 87(2). 896–903. 2 indexed citations
13.
Martínez‐Heras, Eloy, Ralf Schmidt, Wei‐Kai Lee, et al.. (2021). Accelerated white matter lesion analysis based on simultaneous T1 and T2 quantification using magnetic resonance fingerprinting and deep learning. Magnetic Resonance in Medicine. 86(1). 471–486. 14 indexed citations
14.
Hausmann, Daniel, Tilo Niemann, Antonio Nocito, et al.. (2019). Free-Breathing Dynamic Contrast-Enhanced Imaging of the Upper Abdomen Using a Cartesian Compressed-Sensing Sequence With Hard-Gated and Motion-State-Resolved Reconstruction. Investigative Radiology. 54(11). 728–736. 22 indexed citations
15.
Zöllner, Frank G., et al.. (2019). Image registration in dynamic renal MRI—current status and prospects. Magnetic Resonance Materials in Physics Biology and Medicine. 33(1). 33–48. 20 indexed citations
16.
Zöllner, Frank G., Katrin Zahn, Thomas Schaible, et al.. (2015). Semi-automatic lung segmentation of DCE-MRI data sets of 2-year old children after congenital diaphragmatic hernia repair: Initial results. Magnetic Resonance Imaging. 33(10). 1345–1349. 9 indexed citations
17.
Emblem, Kyrre E., Marco C. Pinho, Frank G. Zöllner, et al.. (2014). A Generic Support Vector Machine Model for Preoperative Glioma Survival Associations. Radiology. 275(1). 228–234. 85 indexed citations
18.
Zöllner, Frank G., et al.. (2012). UMMPerfusion: an Open Source Software Tool Towards Quantitative MRI Perfusion Analysis in Clinical Routine. Journal of Digital Imaging. 26(2). 344–352. 60 indexed citations
19.
Neumann, Steffen, et al.. (2002). Side chain flexibility for 1:n protein-protein docking. PUB – Publications at Bielefeld University (Bielefeld University). 1 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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