Lorenz A. Kapsner

652 total citations
29 papers, 260 citations indexed

About

Lorenz A. Kapsner is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Health Information Management. According to data from OpenAlex, Lorenz A. Kapsner has authored 29 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Lorenz A. Kapsner's work include MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (4 papers). Lorenz A. Kapsner is often cited by papers focused on MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (4 papers). Lorenz A. Kapsner collaborates with scholars based in Germany, Switzerland and Italy. Lorenz A. Kapsner's co-authors include Hans‐Ulrich Prokosch, Jakob Zierk, Sebastian Mate, Farhad Arzideh, Manfred Rauh, Markus Metzler, Julian Gruendner, Susanne A. Seuchter, Michael Uder and Marvin Kampf and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Lorenz A. Kapsner

25 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenz A. Kapsner Germany 10 59 56 49 47 38 29 260
Philipp Bruland Germany 12 51 0.9× 81 1.4× 40 0.8× 86 1.8× 7 0.2× 32 427
Xiaoyang Ruan United States 11 60 1.0× 33 0.6× 10 0.2× 151 3.2× 19 0.5× 20 399
Pablo Serrano Balazote Spain 12 59 1.0× 68 1.2× 29 0.6× 53 1.1× 16 0.4× 38 344
Mathias Kaspar Germany 12 48 0.8× 38 0.7× 25 0.5× 109 2.3× 69 1.8× 52 499
Fanis Kalatzis Greece 12 61 1.0× 53 0.9× 18 0.4× 43 0.9× 144 3.8× 26 489
Juan Carlos Pardo–Fernández Spain 10 49 0.8× 10 0.2× 10 0.2× 17 0.4× 21 0.6× 23 323
Matthew Zhang United States 11 77 1.3× 33 0.6× 6 0.1× 99 2.1× 42 1.1× 37 488
Mohamed M. Rizk Egypt 9 31 0.5× 10 0.2× 3 0.1× 94 2.0× 21 0.6× 38 337
Fatemeh Esfahanian Iran 13 14 0.2× 11 0.2× 27 0.6× 42 0.9× 10 0.3× 31 365
Vianney Jouhet France 9 54 0.9× 27 0.5× 10 0.2× 56 1.2× 9 0.2× 34 182

Countries citing papers authored by Lorenz A. Kapsner

Since Specialization
Citations

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

Fields of papers citing papers by Lorenz A. Kapsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorenz A. Kapsner. 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 Lorenz A. Kapsner. The network helps show where Lorenz A. Kapsner may publish in the future.

Co-authorship network of co-authors of Lorenz A. Kapsner

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenz A. Kapsner. A scholar is included among the top collaborators of Lorenz A. Kapsner 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 Lorenz A. Kapsner. Lorenz A. Kapsner 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.
Graber, Jerome, Lorenz A. Kapsner, Jessica Eberle, et al.. (2025). AI-Based screening for thoracic aortic aneurysms in routine breast MRI. Nature Communications. 16(1). 5299–5299.
2.
Kapsner, Lorenz A., Jessica Eberle, Ramona Erber, et al.. (2025). Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks. European Radiology Experimental. 9(1). 47–47.
3.
Kapsner, Lorenz A., et al.. (2024). Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery. Diagnostics. 14(22). 2587–2587. 3 indexed citations
4.
Laun, Frederik B., Evelyn Wenkel, Lorenz A. Kapsner, et al.. (2024). Diffusion-Weighted Imaging for Skin Pathologies of the Breast—A Feasibility Study. Diagnostics. 14(9). 934–934.
5.
Kapsner, Lorenz A., Jessica Eberle, Ramona Erber, et al.. (2024). Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network. European Radiology. 35(5). 2603–2616. 2 indexed citations
6.
Kapsner, Lorenz A., Jessica Eberle, Frederik B. Laun, et al.. (2023). Smart forecasting of artifacts in contrast-enhanced breast MRI before contrast agent administration. European Radiology. 34(7). 4752–4763. 2 indexed citations
7.
Kapsner, Lorenz A., Frederik B. Laun, Lukas Baumann, et al.. (2023). Prevalence and influencing factors for artifact development in breast MRI-derived maximum intensity projections. Acta Radiologica. 64(11). 2881–2890. 1 indexed citations
8.
Kapsner, Lorenz A., Frederik B. Laun, Armin M. Nagel, et al.. (2023). Image quality assessment using deep learning in high b-value diffusion-weighted breast MRI. Scientific Reports. 13(1). 10549–10549. 7 indexed citations
9.
Prokosch, Hans‐Ulrich, et al.. (2023). Reproducibility in 2023 – An End-to-End Template for Analysis and Manuscript Writing. Studies in health technology and informatics. 302. 58–62. 1 indexed citations
10.
Mariño, Joany, et al.. (2022). R Packages for Data Quality Assessments and Data Monitoring: A Software Scoping Review with Recommendations for Future Developments. Applied Sciences. 12(9). 4238–4238. 9 indexed citations
11.
Kapsner, Lorenz A., Frederik B. Laun, Armin M. Nagel, et al.. (2022). Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast. European Radiology. 32(9). 5997–6007. 11 indexed citations
12.
Seuchter, Susanne A., et al.. (2022). DQAgui: a graphical user interface for the MIRACUM data quality assessment tool. BMC Medical Informatics and Decision Making. 22(1). 213–213. 5 indexed citations
13.
Kapsner, Lorenz A., Agnes Hotz‐Wagenblatt, И. Н. Лебедев, et al.. (2021). BiasCorrector: Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies. International Journal of Cancer. 149(5). 1150–1165. 1 indexed citations
14.
Schüttler, J., Lorenz A. Kapsner, Susanne A. Seuchter, et al.. (2021). Studies on COVID-19 lethality: Causes and dynamics at German University Hospitals. 62. 244–257. 1 indexed citations
15.
Zierk, Jakob, Farhad Arzideh, Lorenz A. Kapsner, et al.. (2020). Reference Interval Estimation from Mixed Distributions using Truncation Points and the Kolmogorov-Smirnov Distance (kosmic). Scientific Reports. 10(1). 1704–1704. 49 indexed citations
16.
Fuchs, Maximilian, Lorenz A. Kapsner, Annette Just, et al.. (2020). Integrative Bioinformatic Analyses of Global Transcriptome Data Decipher Novel Molecular Insights into Cardiac Anti-Fibrotic Therapies. International Journal of Molecular Sciences. 21(13). 4727–4727. 14 indexed citations
17.
Kapsner, Lorenz A., et al.. (2019). Digit ratio (2D:4D) and academic success as measured by achievement in the academic degree “Habilitation”. PLoS ONE. 14(2). e0212167–e0212167. 8 indexed citations
18.
Gruendner, Julian, Christian Gülden, Lorenz A. Kapsner, et al.. (2019). KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. PLoS ONE. 14(10). e0223010–e0223010. 39 indexed citations
19.
20.
Mate, Sebastian, Thomas Bürkle, Lorenz A. Kapsner, et al.. (2019). A method for the graphical modeling of relative temporal constraints. Journal of Biomedical Informatics. 100. 103314–103314. 10 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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