Nina Pötsch

491 total citations
19 papers, 326 citations indexed

About

Nina Pötsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Nina Pötsch has authored 19 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Nina Pötsch's work include MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Breast Lesions and Carcinomas (4 papers). Nina Pötsch is often cited by papers focused on MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Breast Lesions and Carcinomas (4 papers). Nina Pötsch collaborates with scholars based in Austria, United States and Italy. Nina Pötsch's co-authors include Pascal Baltzer, Paola Clauser, Thomas H. Helbich, Giulia Vatteroni, Tatjana Traub‐Weidinger, Panagiotis Kapetas, Wolfgang Wadsak, Thomas Beyer, Adelheid Wöehrer and Matthias Preusser and has published in prestigious journals such as Radiology, Journal of Nuclear Medicine and European Radiology.

In The Last Decade

Nina Pötsch

17 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Pötsch Austria 9 242 133 53 42 35 19 326
Jose R. Teruel United States 12 444 1.8× 136 1.0× 67 1.3× 49 1.2× 24 0.7× 26 526
Martijn P. A. Starmans Netherlands 12 287 1.2× 168 1.3× 59 1.1× 63 1.5× 9 0.3× 29 401
Saskia Vande Perre France 8 234 1.0× 91 0.7× 39 0.7× 52 1.2× 28 0.8× 16 348
Weigang Hu China 9 262 1.1× 88 0.7× 40 0.8× 87 2.1× 22 0.6× 30 369
Meredith Sadinski United States 9 270 1.1× 68 0.5× 78 1.5× 20 0.5× 23 0.7× 15 306
Jing Hang China 10 177 0.7× 55 0.4× 101 1.9× 34 0.8× 19 0.5× 21 323
Young-Rok Do South Korea 9 85 0.4× 151 1.1× 79 1.5× 20 0.5× 62 1.8× 39 335
Xiaoming Zhou China 10 223 0.9× 75 0.6× 45 0.8× 34 0.8× 7 0.2× 24 323
Jacques-Antoine Maisonobe France 5 350 1.4× 105 0.8× 28 0.5× 92 2.2× 13 0.4× 10 369
Isaac Daimiel Naranjo United States 12 415 1.7× 111 0.8× 165 3.1× 67 1.6× 29 0.8× 20 548

Countries citing papers authored by Nina Pötsch

Since Specialization
Citations

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

Fields of papers citing papers by Nina Pötsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Pötsch

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

All Works

19 of 19 papers shown
1.
Fueger, Barbara J., Fabian Tollens, Clemens G. Kaiser, et al.. (2025). Cost-effectiveness of contrast-enhanced breast MRI in suspicious mammographic microcalcifications. Insights into Imaging. 16(1). 122–122.
2.
Pötsch, Nina, et al.. (2025). Impact of Background Parenchymal Enhancement (BPE) on diagnostic performance of Contrast-Enhanced Mammography (CEM) for breast cancer diagnosis. European Journal of Radiology. 188. 112145–112145. 3 indexed citations
3.
4.
Pötsch, Nina, et al.. (2024). Enhancing the Kaiser score for lesion characterization in unenhanced breast MRI. European Journal of Radiology. 176. 111520–111520. 2 indexed citations
5.
6.
7.
Tsibulak, Irina, et al.. (2023). Combined chemotherapy and pembrolizumab salvages multi-chemotherapy agent and avelumab resistant choriocarcinoma: A case report. Gynecologic Oncology Reports. 49. 101259–101259. 3 indexed citations
8.
Grubmüller, Bernhard, Nicolai Huebner, Sazan Rasul, et al.. (2023). Dual-Tracer PET-MRI-Derived Imaging Biomarkers for Prediction of Clinically Significant Prostate Cancer. Current Oncology. 30(2). 1683–1691. 1 indexed citations
9.
Pötsch, Nina, Giulia Vatteroni, Paola Clauser, et al.. (2023). Using the Kaiser Score as a clinical decision rule for breast lesion classification: Does computer-assisted curve type analysis improve diagnosis?. European Journal of Radiology. 170. 111271–111271. 5 indexed citations
10.
Pötsch, Nina, Giulia Vatteroni, Paola Clauser, Thomas H. Helbich, & Pascal Baltzer. (2022). Contrast-enhanced Mammography versus Contrast-enhanced Breast MRI: A Systematic Review and Meta-Analysis. Radiology. 305(1). 94–103. 90 indexed citations
11.
Hofstetter, Gerda, Dietmar Pils, Johannes Pammer, et al.. (2022). Prostate-Specific Membrane Antigen (PSMA) Expression in Tumor-Associated Neovasculature Is an Independent Prognostic Marker in Patients with Ovarian Cancer. Journal of Personalized Medicine. 12(4). 551–551. 9 indexed citations
12.
Röhrich, Sebastian, Benedikt H. Heidinger, Florian Prayer, et al.. (2022). Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease. European Radiology. 33(1). 360–367. 7 indexed citations
13.
Pötsch, Nina, Paola Clauser, Giulia Vatteroni, et al.. (2022). Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population. European Journal of Radiology. 154. 110431–110431. 35 indexed citations
14.
Arnoldner, Michael A., Stephan H. Polanec, Paola Clauser, et al.. (2022). Rectal preparation significantly improves prostate imaging quality: Assessment of the PI-QUAL score with visual grading characteristics. European Journal of Radiology. 147. 110145–110145. 23 indexed citations
15.
Pötsch, Nina, Panagiotis Kapetas, Ruxandra‐Iulia Milos, et al.. (2022). Breast MRI: does a clinical decision algorithm outweigh reader experience?. European Radiology. 32(10). 6557–6564. 11 indexed citations
16.
Fueger, Barbara J., Paola Clauser, Panagiotis Kapetas, et al.. (2021). Can supplementary contrast-enhanced MRI of the breast avoid needle biopsies in suspicious microcalcifications seen on mammography? A systematic review and meta-analysis. The Breast. 56. 53–60. 18 indexed citations
17.
Pötsch, Nina, Matthias Dietzel, Panagiotis Kapetas, et al.. (2021). An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies. European Radiology. 31(8). 5866–5876. 19 indexed citations
18.
Reiser, Elisabeth, Nina Pötsch, Veronika Seebacher, et al.. (2020). Impact of frailty on the management of patients with gynecological cancer aged 80 years and older. Archives of Gynecology and Obstetrics. 303(2). 557–563. 12 indexed citations
19.
Papp, László, Nina Pötsch, Marko Grahovac, et al.. (2017). Glioma Survival Prediction with Combined Analysis of In Vivo 11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning. Journal of Nuclear Medicine. 59(6). 892–899. 82 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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2026