Georg Wengert

1.4k total citations
37 papers, 985 citations indexed

About

Georg Wengert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Georg Wengert has authored 37 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Georg Wengert's work include MRI in cancer diagnosis (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Medical Imaging Techniques and Applications (10 papers). Georg Wengert is often cited by papers focused on MRI in cancer diagnosis (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Medical Imaging Techniques and Applications (10 papers). Georg Wengert collaborates with scholars based in Austria, United States and Germany. Georg Wengert's co-authors include Katja Pinker, Thomas H. Helbich, Pascal Baltzer, Paola Clauser, Panagiotis Kapetas, Hubert Bickel, Elizabeth A. Morris, Stephan H. Polanec, Claudio Spick and Zsuzsanna Bagó-Horváth and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Nuclear Medicine.

In The Last Decade

Georg Wengert

37 papers receiving 971 citations

Peers

Georg Wengert
Jose Net United States
Hongna Tan China
Danny F. Martinez United States
Panagiotis Kapetas Austria
Beatriu Reig United States
Amy N. Melsaether United States
Si‐Wa Chan Taiwan
Kyu Ran Cho South Korea
Chao You China
Markus Müller‐Schimpfle Germany
Jose Net United States
Georg Wengert
Citations per year, relative to Georg Wengert Georg Wengert (= 1×) peers Jose Net

Countries citing papers authored by Georg Wengert

Since Specialization
Citations

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

Fields of papers citing papers by Georg Wengert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Wengert

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Wengert. A scholar is included among the top collaborators of Georg Wengert 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 Georg Wengert. Georg Wengert 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.
Lu, Haonan, Georg Wengert, Naina Patel, et al.. (2023). Tumor and local lymphoid tissue interaction determines prognosis in high-grade serous ovarian cancer. Cell Reports Medicine. 4(7). 101092–101092. 23 indexed citations
2.
Wengert, Georg, Thomas H. Helbich, H. Magometschnigg, et al.. (2019). Sequential [18F]FDG-[18F]FMISO PET and Multiparametric MRI at 3T for Insights into Breast Cancer Heterogeneity and Correlation with Patient Outcomes: First Clinical Experience. Contrast Media & Molecular Imaging. 2019. 1–9. 9 indexed citations
3.
Polanec, Stephan H., Hubert Bickel, Georg Wengert, et al.. (2019). Can the addition of clinical information improve the accuracy of PI-RADS version 2 for the diagnosis of clinically significant prostate cancer in positive MRI?. Clinical Radiology. 75(2). 157.e1–157.e7. 17 indexed citations
4.
Polanec, Stephan H., Georg Wengert, Paola Clauser, et al.. (2019). Intra- and inter-observer variability in dependence of T1-time correction for common dynamic contrast enhanced MRI parameters in prostate cancer patients. European Journal of Radiology. 116. 27–33. 3 indexed citations
5.
6.
Kapetas, Panagiotis, Paola Clauser, Ramona Woitek, et al.. (2019). Quantitative Multiparametric Breast Ultrasound. Investigative Radiology. 54(5). 257–264. 47 indexed citations
7.
Wengert, Georg, Hubert Bickel, Stephan H. Polanec, et al.. (2019). Impact of the Kaiser score on clinical decision-making in BI-RADS 4 mammographic calcifications examined with breast MRI. European Radiology. 30(3). 1451–1459. 42 indexed citations
8.
Leithner, Doris, João V. Horvat, Blanca Bernard‐Davila, et al.. (2019). A multiparametric [18F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis. European Journal of Nuclear Medicine and Molecular Imaging. 46(9). 1878–1888. 8 indexed citations
9.
Tahmassebi, Amirhessam, Georg Wengert, Thomas H. Helbich, et al.. (2018). Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients. Investigative Radiology. 54(2). 110–117. 204 indexed citations
10.
Polanec, Stephan H., Thomas H. Helbich, Hubert Bickel, et al.. (2018). Quantitative Apparent Diffusion Coefficient Derived From Diffusion-Weighted Imaging Has the Potential to Avoid Unnecessary MRI-Guided Biopsies of mpMRI-Detected PI-RADS 4 and 5 Lesions. Investigative Radiology. 53(12). 736–741. 17 indexed citations
11.
Polanec, Stephan H., Georg Wengert, Hubert Bickel, et al.. (2017). 3D T2-weighted imaging to shorten multiparametric prostate MRI protocols. European Radiology. 28(4). 1634–1641. 36 indexed citations
12.
Wengert, Georg, Pascal Baltzer, Hubert Bickel, et al.. (2017). Differentiation of Intrahepatic Cholangiocellular Carcinoma from Hepatocellular Carcinoma in the Cirrhotic Liver Using Contrast-enhanced MR Imaging. Academic Radiology. 24(12). 1491–1500. 14 indexed citations
13.
Leithner, Doris, Georg Wengert, Thomas H. Helbich, Elizabeth A. Morris, & Katja Pinker. (2017). MRI in the Assessment of BI-RADS® 4 lesions. Topics in Magnetic Resonance Imaging. 26(5). 191–199. 15 indexed citations
14.
Spick, Claudio, Melanie Schernthaner, Katja Pinker, et al.. (2016). MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience. European Radiology. 26(11). 3908–3916. 34 indexed citations
15.
16.
Bickel, Hubert, Katja Pinker, Stephan H. Polanec, et al.. (2016). Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values. European Radiology. 27(5). 1883–1892. 84 indexed citations
17.
Sora, Mircea‐Constantin, et al.. (2015). The relationship of neurovascular structures to the posterior medial aspect of the knee: an anatomic study using plastinated cross-sections.. PubMed. 56(3). 1035–41. 5 indexed citations
18.
Marino, Maria Adele, Paola Clauser, Ramona Woitek, et al.. (2015). A simple scoring system for breast MRI interpretation: does it compensate for reader experience?. European Radiology. 26(8). 2529–2537. 67 indexed citations
19.
Wengert, Georg, Thomas H. Helbich, Wolf‐Dieter Vogl, et al.. (2014). Introduction of an Automated User–Independent Quantitative Volumetric Magnetic Resonance Imaging Breast Density Measurement System Using the Dixon Sequence. Investigative Radiology. 50(2). 73–80. 26 indexed citations
20.
Magometschnigg, H., Thomas H. Helbich, Peter Brader, et al.. (2014). Molecular imaging for the characterization of breast tumors. Expert Review of Anticancer Therapy. 14(6). 711–722. 6 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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