Thomas Benkert

1.7k total citations
96 papers, 1.2k citations indexed

About

Thomas Benkert is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Benkert has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Atomic and Molecular Physics, and Optics and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Benkert's work include Advanced MRI Techniques and Applications (64 papers), MRI in cancer diagnosis (52 papers) and Advanced Neuroimaging Techniques and Applications (38 papers). Thomas Benkert is often cited by papers focused on Advanced MRI Techniques and Applications (64 papers), MRI in cancer diagnosis (52 papers) and Advanced Neuroimaging Techniques and Applications (38 papers). Thomas Benkert collaborates with scholars based in Germany, United States and China. Thomas Benkert's co-authors include Kai Tobias Block, Hersh Chandarana, Li Feng, Daniel K. Sodickson, Ricardo Otazo, Elisabeth Weiland, Dominik Nickel, Sebastian Gassenmaier, Saif Afat and Judith Herrmann and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Thomas Benkert

93 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Benkert Germany	19	975	241	201	97	75	96	1.2k
Jason A. Polzin United States	19	1.1k 1.1×	243 1.0×	207 1.0×	90 0.9×	67 0.9×	26	1.2k
Adrienne Campbell‐Washburn United States	23	1.0k 1.0×	311 1.3×	111 0.6×	209 2.2×	131 1.7×	96	1.3k
Mary Bruno United States	17	704 0.7×	149 0.6×	97 0.5×	116 1.2×	81 1.1×	62	1.0k
Christian Geppert United States	20	1.2k 1.3×	112 0.5×	252 1.3×	119 1.2×	75 1.0×	33	1.4k
Shivani Pahwa United States	17	967 1.0×	73 0.3×	410 2.0×	81 0.8×	87 1.2×	36	1.2k
Lawrence Dougherty United States	20	822 0.8×	157 0.7×	159 0.8×	118 1.2×	42 0.6×	34	1.1k
Gastão Cruz United Kingdom	25	1.3k 1.4×	252 1.0×	60 0.3×	127 1.3×	101 1.3×	69	1.4k
Jeffrey Tsao Switzerland	20	1.5k 1.6×	360 1.5×	94 0.5×	139 1.4×	56 0.7×	30	1.7k
Renate Jerec̆ić United States	19	848 0.9×	169 0.7×	202 1.0×	52 0.5×	85 1.1×	33	1.1k

Countries citing papers authored by Thomas Benkert

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Benkert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Benkert. 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 Thomas Benkert. The network helps show where Thomas Benkert may publish in the future.

Co-authorship network of co-authors of Thomas Benkert

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

All Works

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20 of 20 papers shown

Park, So Hyun, Moon Hyung Choi, Bohyun Kim, et al.. (2025). Deep Learning-Accelerated Non-Contrast Abbreviated Liver MRI for Detecting Malignant Focal Hepatic Lesions: Dual-Center Validation. Korean Journal of Radiology. 26(4). 333–333. 1 indexed citations

Schimmöller, Lars, Matthias Boschheidgen, T. Ullrich, et al.. (2025). Squared diffusion-weighted imaging for improving the detection of clinically significant prostate cancer. Scientific Reports. 15(1). 3451–3451.

Benkert, Thomas, Timo Uphaus, Sergiu Groppa, et al.. (2024). Deep Learning Accelerated Brain Diffusion-Weighted MRI with Super Resolution Processing. Academic Radiology. 31(10). 4171–4182. 7 indexed citations

Metz, Corona, Andreas Max Weng, Julius F. Heidenreich, et al.. (2023). Reproducibility of non-contrast enhanced multi breath-hold ultrashort echo time functional lung MRI. Magnetic Resonance Imaging. 98. 149–154. 1 indexed citations

Zanette, Brandon, Thomas Benkert, Padmaja Subbarao, et al.. (2023). Semiautomated Segmentation and Analysis of Airway Lumen in Pediatric Patients Using Ultra Short Echo Time MRI. Academic Radiology. 31(2). 648–659. 1 indexed citations

Gassenmaier, Sebastian, et al.. (2023). Novel deep-learning-based diffusion weighted imaging sequence in 1.5 T breast MRI. European Journal of Radiology. 166. 110948–110948. 18 indexed citations

Lee, So Yeon, Jinyoung Lee, Seungeun Lee, et al.. (2023). Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI. Magnetic Resonance Imaging. 105. 82–91. 7 indexed citations

Mathieu, David, Ilyès Benlala, S. Bui, et al.. (2023). Longitudinal Evaluation of Bronchial Changes in Cystic Fibrosis Patients Undergoing Elexacaftor/Tezacaftor/Ivacaftor Therapy Using Lung MRI With Ultrashort Echo‐Times. Journal of Magnetic Resonance Imaging. 60(1). 116–124. 9 indexed citations

Sauer, Stephanie, Piotr Woźnicki, Andreas Steven Kunz, et al.. (2023). Deep Learning k‐Space‐to‐Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion‐Weighted Imaging Breast MRI. Journal of Magnetic Resonance Imaging. 60(3). 1190–1200. 9 indexed citations

10.

Ursprung, Stephan, Judith Herrmann, Elisabeth Weiland, et al.. (2023). Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging. European Journal of Radiology. 165. 110953–110953. 21 indexed citations

11.

Sheikh, Khadija, Ehud J. Schmidt, Bruce L. Daniel, et al.. (2023). Image Derived Estimates of Fibrosis Using Ultrashort Echo Time MRI in Gynecologic Cancer. International Journal of Radiation Oncology*Biology*Physics. 117(2). S67–S67. 1 indexed citations

12.

Hausmann, Daniel, Elisabeth Weiland, Thomas Benkert, et al.. (2023). Advanced Diffusion-Weighted Imaging Sequences for Breast MRI: Comprehensive Comparison of Improved Sequences and Ultra-High B-Values to Identify the Optimal Combination. Diagnostics. 13(4). 607–607. 3 indexed citations

13.

Scholey, Jessica, Evangelia Kaza, Thomas Benkert, et al.. (2023). Validation of an MR-based multimodal method for molecular composition and proton stopping power ratio determination using ex vivo animal tissues and tissue-mimicking phantoms. Physics in Medicine and Biology. 68(17). 175033–175033. 2 indexed citations

14.

Sigmund, Eric E., Artem Mikheev, James S. Babb, et al.. (2022). Cardiac Phase and Flow Compensation Effects on REnal Flow and Microstructure AnisotroPy MRI in Healthy Human Kidney. Journal of Magnetic Resonance Imaging. 58(1). 210–220. 9 indexed citations

15.

Podgórska, Joanna, Thomas Benkert, Jakub Pałucki, et al.. (2022). Perfusion‐Diffusion Ratio: A New IVIM Approach in Differentiating Solid Benign and Malignant Primary Lesions of the Liver. BioMed Research International. 2022(1). 2957759–2957759. 7 indexed citations

16.

Afat, Saif, Judith Herrmann, Haidara Almansour, et al.. (2022). Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction. Diagnostic and Interventional Imaging. 104(4). 178–184. 30 indexed citations

17.

Gräfe, Daniel, Freerk Prenzel, Ina Sorge, et al.. (2021). Pediatric MR lung imaging with 3D ultrashort‐TE in free breathing: Are we past the conventional T2 sequence?. Pediatric Pulmonology. 56(12). 3899–3907. 10 indexed citations

18.

Ljimani, Alexandra, Helge J. Zöllner, Thomas Benkert, et al.. (2021). Spectral diffusion analysis of kidney intravoxel incoherent motion MRI in healthy volunteers and patients with renal pathologies. Magnetic Resonance in Medicine. 85(6). 3085–3095. 19 indexed citations

19.

Huang, Yu‐Sen, Mao‐Yuan Su, Thomas Benkert, et al.. (2021). Applying Compressed Sensing Volumetric Interpolated Breath-Hold Examination and Spiral Ultrashort Echo Time Sequences for Lung Nodule Detection in MRI. Diagnostics. 12(1). 93–93. 12 indexed citations

20.

Benkert, Thomas, et al.. (2021). Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network. arXiv (Cornell University). 9 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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