Elisabeth Weiland

1.5k total citations
63 papers, 1.2k citations indexed

About

Elisabeth Weiland is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Elisabeth Weiland has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Elisabeth Weiland's work include MRI in cancer diagnosis (45 papers), Advanced MRI Techniques and Applications (39 papers) and Advanced Neuroimaging Techniques and Applications (25 papers). Elisabeth Weiland is often cited by papers focused on MRI in cancer diagnosis (45 papers), Advanced MRI Techniques and Applications (39 papers) and Advanced Neuroimaging Techniques and Applications (25 papers). Elisabeth Weiland collaborates with scholars based in Germany, United States and Netherlands. Elisabeth Weiland's co-authors include Arend Heerschap, Tom W. J. Scheenen, Jelle O. Barentsz, Jurgen J. Fütterer, Tom Hilbert, Berthold Kiefer, Thomas Benkert, Esther Raithel, Ritse M. Mann and Sebastian Gassenmaier and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and Journal of Magnetic Resonance Imaging.

In The Last Decade

Elisabeth Weiland

62 papers receiving 1.2k citations

Peers

Elisabeth Weiland

RNMI

PRM

SURGE

AMPO

ONCOL

Shivani Pahwa United States

G Kukuk Germany

Christian Geppert United States

Chaitra Badve United States

Richard E. Wendt United States

Tristan Anselm Kuder Germany

Samantha J. Mills United Kingdom

Stefan Haneder Germany

M. Fabel Germany

Giuseppe Palma Italy

Shivani Pahwa United States

Elisabeth Weiland

967 ×1.0

RNMI

410 ×1.3

PRM

99 ×0.8

SURGE

73 ×0.8

AMPO

59 ×0.7

ONCOL

Citations per year, relative to Elisabeth Weiland Elisabeth Weiland (= 1×) peers Shivani Pahwa

Countries citing papers authored by Elisabeth Weiland

Since Specialization

Citations

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

Fields of papers citing papers by Elisabeth Weiland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Weiland

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Weiland. A scholar is included among the top collaborators of Elisabeth Weiland 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 Elisabeth Weiland. Elisabeth Weiland 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

Hausmann, Daniel, et al.. (2025). Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis. Academic Radiology. 32(5). 2776–2786. 1 indexed citations

Nickel, Dominik, et al.. (2025). Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis. Current Oncology. 32(1). 30–30. 1 indexed citations

Wilpert, Caroline, Hannah Schneider, Alexander Rau, et al.. (2025). Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study. Korean Journal of Radiology. 26(1). 29–29. 1 indexed citations

Darwish, Omar, Fabian Wagner, Mareike Thies, et al.. (2024). Enhancing diffusion-weighted prostate MRI through self-supervised denoising and evaluation. Scientific Reports. 14(1). 24292–24292. 3 indexed citations

Hausmann, Daniel, et al.. (2023). AI-Supported Autonomous Uterus Reconstructions: First Application in MRI Using 3D SPACE with Iterative Denoising. Academic Radiology. 31(4). 1400–1409. 4 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

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

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

Gassenmaier, Sebastian, Dominik Nickel, Elisabeth Weiland, et al.. (2023). Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction. Cancers. 15(3). 578–578. 21 indexed citations

10.

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

11.

Schimmöller, Lars, Elisabeth Weiland, Tobias Franiel, et al.. (2022). Value of T₂ Mapping MRI for Prostate Cancer Detection and Classification. Journal of Magnetic Resonance Imaging. 56(2). 1 indexed citations

12.

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

13.

Teuwen, Jonas, Linda Moy, Laura Heacock, et al.. (2021). Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI. European Journal of Radiology. 138. 109626–109626. 9 indexed citations

14.

Teuwen, Jonas, Linda Moy, Laura Heacock, et al.. (2021). Diffusion weighted imaging for evaluation of breast lesions: Comparison between high b-value single-shot and routine readout-segmented sequences at 3 T. Magnetic Resonance Imaging. 84. 35–40. 3 indexed citations

15.

Henninger, Benjamin, Michael Steurer, Michaela Plaikner, et al.. (2020). Magnetic resonance cholangiopancreatography with compressed sensing at 1.5 T: clinical application for the evaluation of branch duct IPMN of the pancreas. European Radiology. 30(11). 6014–6021. 5 indexed citations

16.

Kordbacheh, Hamed, Ravi T. Seethamraju, Elisabeth Weiland, et al.. (2019). Image quality and diagnostic accuracy of complex-averaged high b value images in diffusion-weighted MRI of prostate cancer. Abdominal Radiology. 44(6). 2244–2253. 14 indexed citations

17.

Mai, Julia, Thomas Lehmann, Tom Hilbert, et al.. (2018). T2 Mapping in Prostate Cancer. Investigative Radiology. 54(3). 146–152. 59 indexed citations

18.

Zechmann, Christian M., Jurgen J. Fütterer, Elisabeth Weiland, et al.. (2011). Reproducibility of 3D ¹H MR spectroscopic imaging of the prostate at 1.5T. Journal of Magnetic Resonance Imaging. 35(1). 166–173. 15 indexed citations

19.

Busch, Martin, Elisabeth Weiland, W. Vollmann, et al.. (2010). Influence of brain tumors on the MR spectra of healthy brain tissue. Magnetic Resonance in Medicine. 65(1). 18–27. 9 indexed citations

20.

Scheenen, Tom W. J., Giulio Gambarota, Elisabeth Weiland, et al.. (2005). Optimal timing for in vivo ¹H‐MR spectroscopic imaging of the human prostate at 3T. Magnetic Resonance in Medicine. 53(6). 1268–1274. 78 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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