Pascal Baltzer

13.0k total citations · 2 hit papers
323 papers, 8.0k citations indexed

About

Pascal Baltzer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Pascal Baltzer has authored 323 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 272 papers in Radiology, Nuclear Medicine and Imaging, 76 papers in Pulmonary and Respiratory Medicine and 71 papers in Pathology and Forensic Medicine. Recurrent topics in Pascal Baltzer's work include MRI in cancer diagnosis (216 papers), Radiomics and Machine Learning in Medical Imaging (155 papers) and Advanced MRI Techniques and Applications (87 papers). Pascal Baltzer is often cited by papers focused on MRI in cancer diagnosis (216 papers), Radiomics and Machine Learning in Medical Imaging (155 papers) and Advanced MRI Techniques and Applications (87 papers). Pascal Baltzer collaborates with scholars based in Austria, Germany and United States. Pascal Baltzer's co-authors include Matthias Dietzel, Thomas H. Helbich, Katja Pinker, Werner A. Kaiser, Paola Clauser, Mieczysław Gajda, Claudio Spick, Panagiotis Kapetas, Oumar Camara and Barbara Bennani‐Baïti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pascal Baltzer

307 papers receiving 7.9k 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 →
Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

2023 85 citations Jung Hyun Yoon, Fredrik Strand et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Baltzer Austria	48	6.3k	1.7k	1.6k	958	929	323	8.0k
Katja Pinker Austria	56	6.5k 1.0×	1.2k 0.7×	1.3k 0.8×	1.1k 1.2×	1.3k 1.4×	282	8.7k
Maurice A. A. J. van den Bosch Netherlands	45	3.1k 0.5×	983 0.6×	1.5k 0.9×	995 1.0×	362 0.4×	185	6.4k
Boo‐Kyung Han South Korea	37	2.2k 0.4×	1.2k 0.7×	819 0.5×	1.0k 1.1×	877 0.9×	185	4.4k
Gary J. Whitman United States	40	2.4k 0.4×	1.9k 1.2×	1.1k 0.7×	2.1k 2.2×	925 1.0×	266	6.2k
Pierre Véra France	37	2.6k 0.4×	1.3k 0.8×	1.2k 0.8×	293 0.3×	255 0.3×	225	5.1k
Lindsay W. Turnbull United Kingdom	37	3.5k 0.6×	778 0.5×	1.2k 0.7×	867 0.9×	289 0.3×	92	4.7k
Laurie L. Fajardo United States	32	2.1k 0.3×	1.1k 0.7×	2.0k 1.3×	1.0k 1.1×	1.9k 2.0×	132	5.2k
Ellen B. Mendelson United States	30	2.1k 0.3×	1.6k 0.9×	690 0.4×	1.0k 1.1×	1.3k 1.4×	94	4.2k
C. Boetes Netherlands	31	4.0k 0.6×	2.6k 1.6×	940 0.6×	2.1k 2.2×	814 0.9×	95	7.0k
Corinne Balleyguier France	39	2.1k 0.3×	568 0.3×	1.4k 0.9×	684 0.7×	779 0.8×	183	4.9k

Countries citing papers authored by Pascal Baltzer

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Baltzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Baltzer

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

Dietzel, Matthias & Pascal Baltzer. (2025). From metrics to macro-perspectives: The evolving dialogue in radiological AI. 3. 100041–100041.

Spielvogel, Clemens P., Melanie R. Hassler, Lukas Nics, et al.. (2025). Does PARP1 up-regulation correlate with PSMA expression in patients with metastatic castration-resistant prostate cancer studied with [18F]PARPi and [68Ga]PSMA PET/CT?. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 812–823. 1 indexed citations

Dietzel, Matthias & Pascal Baltzer. (2025). Advocating sustainable AI research in Clinical Radiology. 1. 100011–100011. 1 indexed citations

Clauser, Paola, et al.. (2024). MRI-only breast cancers are less aggressive than cancers identifiable on conventional imaging. European Journal of Radiology. 181. 111781–111781. 1 indexed citations

Spielvogel, Clemens P., Jing Ning, László Papp, et al.. (2024). Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI. Insights into Imaging. 15(1). 299–299. 3 indexed citations

Nics, Lukas, Clemens P. Spielvogel, Bernhard Grubmüller, et al.. (2024). Assessment of PSMA Expression of Healthy Organs in Different Stages of Prostate Cancer Using [68Ga]Ga-PSMA-11-PET Examinations. Cancers. 16(8). 1514–1514. 2 indexed citations

Schiaffino, Simone, Andrea Cozzi, Paola Clauser, et al.. (2024). Current use and future perspectives of contrast-enhanced mammography (CEM): a survey by the European Society of Breast Imaging (EUSOBI). European Radiology. 34(8). 5439–5450. 6 indexed citations

Deutschmann, Christine, Christian F. Singer, Daphne Gschwantler‐Kaulich, et al.. (2023). Residual fibroglandular breast tissue after mastectomy is associated with an increased risk of a local recurrence or a new primary breast cancer". BMC Cancer. 23(1). 281–281. 6 indexed citations

Clauser, Paola, Fiona J. Gilbert, Ruud M. Pijnappel, et al.. (2023). A survey by the European Society of Breast Imaging on radiologists’ preferences regarding quality assurance measures of image interpretation in screening and diagnostic mammography. European Radiology. 33(11). 8103–8111.

10.

Dietzel, Matthias, Maria Bernathova, Paola Clauser, et al.. (2023). Added value of clinical decision rules for the management of enhancing breast MRI lesions: A systematic comparison of the Kaiser score and the Göttingen score. European Journal of Radiology. 169. 111185–111185. 6 indexed citations

11.

Hojreh, Azadeh, Julia Furtner, Christoph Krall, et al.. (2023). Reliability of signal intensity in the basal ganglia on non-contrast T1-weighted MR scans after repetitive application of a gadolinium-based contrast agent in pediatric neuro-oncology patients. European Journal of Radiology. 169. 111179–111179. 2 indexed citations

12.

Yoon, Jung Hyun, Fredrik Strand, Pascal Baltzer, et al.. (2023). Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis. Radiology. 307(5). e222639–e222639. 85 indexed citations breakdown →

13.

Romeo, Valeria, Panagiotis Kapetas, Paola Clauser, et al.. (2022). A Simultaneous Multiparametric 18F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer. Cancers. 14(16). 3944–3944. 11 indexed citations

14.

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

15.

Clauser, Paola, B. Krug, Hubert Bickel, et al.. (2021). Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy. Clinical Cancer Research. 27(7). 1941–1948. 56 indexed citations

16.

Jagmohan, Pooja, et al.. (2021). Correct determination of the enhancement curve is critical to ensure accurate diagnosis using the Kaiser score as a clinical decision rule for breast MRI. European Journal of Radiology. 138. 109630–109630. 18 indexed citations

17.

Kapetas, Panagiotis, Paola Clauser, Ramona Woitek, et al.. (2018). Virtual Touch IQ elastography reduces unnecessary breast biopsies by applying quantitative “rule-in” and “rule-out” threshold values. Scientific Reports. 8(1). 3583–3583. 5 indexed citations

18.

Álvarez, I., Javier Ramı́rez, J. M. Górriz, et al.. (2018). Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Contrast Media & Molecular Imaging. 2018. 1–11. 14 indexed citations

19.

Kaiser, Clemens G., Michael Herold, Pascal Baltzer, et al.. (2017). Prognostic Value of "Prepectoral Edema" in MR-mammography. Anticancer Research. 37(4). 1989–1995. 17 indexed citations

20.

Pinker, Katja, Wolfgang Bogner, Pascal Baltzer, et al.. (2014). Improved Differentiation of Benign and Malignant Breast Tumors with Multiparametric 18Fluorodeoxyglucose Positron Emission Tomography Magnetic Resonance Imaging: A Feasibility Study. Clinical Cancer Research. 20(13). 3540–3549. 71 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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