Katja Pinker

14.4k total citations · 1 hit paper
282 papers, 8.7k citations indexed

About

Katja Pinker is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Katja Pinker has authored 282 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 218 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Pulmonary and Respiratory Medicine and 42 papers in Artificial Intelligence. Recurrent topics in Katja Pinker's work include MRI in cancer diagnosis (156 papers), Radiomics and Machine Learning in Medical Imaging (144 papers) and Medical Imaging Techniques and Applications (70 papers). Katja Pinker is often cited by papers focused on MRI in cancer diagnosis (156 papers), Radiomics and Machine Learning in Medical Imaging (144 papers) and Medical Imaging Techniques and Applications (70 papers). Katja Pinker collaborates with scholars based in Austria, United States and Germany. Katja Pinker's co-authors include Thomas H. Helbich, Elizabeth A. Morris, Pascal Baltzer, Siegfried Trattnig, Wolfgang Bogner, Maria Adele Marino, Michael Weber, Stephan Gruber, Paola Clauser and Maxine S. Jochelson and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Katja Pinker

268 papers receiving 8.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group

2019 270 citations Pascal Baltzer, Ritse M. Mann et al. European Radiology profile →

Peers

Countries citing papers authored by Katja Pinker

Since Specialization

Citations

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

Fields of papers citing papers by Katja Pinker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Pinker

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

#	Work	Indexed citations
1	ESR Essentials: artificial intelligence in breast imaging—practice recommendations by the European Society of Breast Imaging 2025 ·European Radiology ·Simone Schiaffino, Daniela Bernardi, Nuala Healy, Maria Adele Marino, Valeria Romeo, Ioannis Sechopoulos, Ritse M. Mann, Katja Pinker	1
2	Validation of the Mirai model for predicting breast cancer risk in Mexican women 2024 ·Insights into Imaging ·Daly Avendaño, Maria Adele Marino, (unknown), (unknown), (unknown), (unknown), (unknown), Carmelo Sofia, (unknown), Katja Pinker, Servando Cardona‐Huerta, José G. Tamez‐Peña	2
3	Current use and future perspectives of contrast-enhanced mammography (CEM): a survey by the European Society of Breast Imaging (EUSOBI) 2024 ·European Radiology ·Simone Schiaffino, Andrea Cozzi, Paola Clauser, Elisabetta Giannotti, Maria Adele Marino, Thiemo J. A. van Nijnatten, Pascal Baltzer, Marc B. I. Lobbes, Ritse M. Mann, Katja Pinker, Michael Fuchsjäger, Ruud M. Pijnappel, (unknown)	6
4	A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research 2023 ·Journal of Magnetic Resonance Imaging ·(unknown), (unknown), Arka Bhowmik, Maxine S. Jochelson, Andrei I. Holodny, Katja Pinker, Sarah Eskreis‐Winkler, Joseph N. Stember	9
5	A Review of the Estimation of Sensitivity and Specificity in the Context of Time‐Dependent Outcomes 2023 ·Journal of Magnetic Resonance Imaging ·Varadan Sevilimedu, (unknown), Katja Pinker	1
6	Deuterium MR spectroscopy: potential applications in oncology research 2023 ·BJR\|Open ·Almir Galvão Vieira Bitencourt, Arka Bhowmik, (unknown), Roberto Lo Gullo, Yousef Mazaheri, Panagiotis Kapetas, Sarah Eskreis‐Winkler, Robert J. Young, Katja Pinker, Sunitha B. Thakur	2
7	Multisite MRI Intravoxel Incoherent Motion Repeatability and Reproducibility across 3 T Scanners in a Breast Diffusion Phantom: A BReast Intravoxel Incoherent Motion Multisite (BRIMM) Study 2023 ·Journal of Magnetic Resonance Imaging ·(unknown), Artem Mikheev, Varadan Sevilimedu, (unknown), Linda Moy, Katja Pinker, Sunitha B. Thakur, Eric E. Sigmund	8
8	Simultaneous 18F-FDG PET/MRI Radiomics and Machine Learning Analysis of the Primary Breast Tumor for the Preoperative Prediction of Axillary Lymph Node Status in Breast Cancer 2023 ·Cancers ·Valeria Romeo, Panagiotis Kapetas, Paola Clauser, Sazan Rasul, Renato Cuocolo, Martina Caruso, Thomas H. Helbich, Pascal Baltzer, Katja Pinker	7
9	A Simultaneous Multiparametric 18F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer 2022 ·Cancers ·Valeria Romeo, Panagiotis Kapetas, Paola Clauser, Pascal Baltzer, Sazan Rasul, Peter Gibbs, Marcus Hacker, Ramona Woitek, Katja Pinker, Thomas H. Helbich	11
10	Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer 2022 ·Cancers ·Lale Umutlu, Julian Kirchner, Nils Martin Bruckmann, Janna Morawitz, Gerald Antoch, Saskia Ting, Ann‐Kathrin Bittner, Oliver Hoffmann, (unknown), Eugen Ruckhäberle, Onofrio A. Catalano, (unknown), Johannes Grueneisen, Harald H. Quick, Wolfgang P. Fendler, Christoph Rischpler, Ken Herrmann, Peter Gibbs, Katja Pinker	31
11	Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance 2022 ·Cancers ·Isaac Daimiel Naranjo, Peter Gibbs, (unknown), Roberto Lo Gullo, Sunitha B. Thakur, Maxine S. Jochelson, (unknown), Pascal Baltzer, Thomas H. Helbich, Katja Pinker	23
12	Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy 2021 ·Clinical Cancer Research ·Paola Clauser, B. Krug, Hubert Bickel, Matthias Dietzel, Katja Pinker, Victor Neuhaus, Maria Adele Marino, Marco Moschetta, (unknown), Thomas H. Helbich, Pascal Baltzer	56
13	Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics 2021 ·Cancers ·(unknown), László Papp, (unknown), H. Magometschnigg, Marko Grahovac, Clemens P. Spielvogel, (unknown), Zsuzsanna Bagó-Horváth, Alexander Haug, Georgios Karanikas, Thomas Beyer, Marcus Hacker, Thomas H. Helbich, Katja Pinker	39
14	Propagation of structured light through tissue-mimicking phantoms 2020 ·Optics Express ·Alessia Suprano, Taira Giordani, Ilaria Gianani, Nicolò Spagnolo, Katja Pinker, (unknown), Shlomi Arnon, Uwe Klemm, Dimitris Gorpas, Vasilis Ntziachristos, Fabio Sciarrino	10
15	Non-Invasive Assessment of Hypoxia and Neovascularization with MRI for Identification of Aggressive Breast Cancer 2020 ·Cancers ·Barbara Bennani‐Baïti, Katja Pinker, Max Zimmermann, Thomas H. Helbich, Pascal Baltzer, Paola Clauser, Panagiotis Kapetas, Zsuzsanna Bagó-Horváth, Andreas Stadlbauer	14
16	Lymph Node Imaging in Patients with Primary Breast Cancer: Concurrent Diagnostic Tools 2019 ·The Oncologist ·Maria Adele Marino, Daly Avendaño, (unknown), Christopher C. Riedl, Katja Pinker	135
17	Virtual Touch IQ elastography reduces unnecessary breast biopsies by applying quantitative “rule-in” and “rule-out” threshold values 2018 ·Scientific Reports ·Panagiotis Kapetas, Paola Clauser, Ramona Woitek, Katja Pinker, Maria Bernathova, Thomas H. Helbich, Pascal Baltzer	5
18	Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging 2018 ·Contrast Media & Molecular Imaging ·I. Álvarez, Javier Ramı́rez, J. M. Górriz, Maria Adele Marino, Daly Avendaño, Thomas H. Helbich, Pascal Baltzer, Katja Pinker, Anke Meyer‐Baese	14
19	Evaluation of Diffusion-Weighted MRI for Pretherapeutic Assessment and Staging of Lymphoma: Results of a Prospective Study in 140 Patients 2014 ·Clinical Cancer Research ·Marius E. Mayerhoefer, Georgios Karanikas, Kurt Kletter, Helmut Prosch, Barbara Kiesewetter, Cathrin Skrabs, Edit Porpaczy, Michael Weber, Katja Pinker, Dominik Berzaczy, Martha Hoffmann, Christian Sillaber, Ulrich Jaeger, Leonhard Müllauer, Ingrid Simonitsch‐Klupp, Werner Dolak, Alexander Gaiger, (unknown), Julius Lukas, Markus Raderer	81
20	Improved Differentiation of Benign and Malignant Breast Tumors with Multiparametric 18Fluorodeoxyglucose Positron Emission Tomography Magnetic Resonance Imaging: A Feasibility Study 2014 ·Clinical Cancer Research ·Katja Pinker, Wolfgang Bogner, Pascal Baltzer, Georgios Karanikas, H. Magometschnigg, Peter Brader, Stephan Gruber, Hubert Bickel, Peter Dubsky, Zsuzsanna Bagó-Horváth, Rupert Bartsch, Michael Weber, Siegfried Trattnig, Thomas H. Helbich	71

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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