Marion Piepenbrock

544 total citations
18 papers, 383 citations indexed

About

Marion Piepenbrock is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marion Piepenbrock has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 16 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Marion Piepenbrock's work include Photoacoustic and Ultrasonic Imaging (17 papers), Ultrasound and Hyperthermia Applications (15 papers) and Ultrasound Imaging and Elastography (14 papers). Marion Piepenbrock is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (17 papers), Ultrasound and Hyperthermia Applications (15 papers) and Ultrasound Imaging and Elastography (14 papers). Marion Piepenbrock collaborates with scholars based in Germany and Netherlands. Marion Piepenbrock's co-authors include Georg Schmitz, Stefanie Dencks, Fabian Kießling, Tatjana Opacic, Elmar Stickeler, Anne Rix, Twan Lammers, Benjamin Theek, Dimitri Ackermann and Stefan Delorme and has published in prestigious journals such as Nature Communications, Theranostics and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

In The Last Decade

Marion Piepenbrock

18 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Piepenbrock Germany 8 329 302 25 25 13 18 383
Tatjana Opacic Germany 7 303 0.9× 289 1.0× 31 1.2× 13 0.5× 12 0.9× 10 372
Pouyan Mohajerani Germany 13 342 1.0× 292 1.0× 29 1.2× 76 3.0× 21 1.6× 23 409
Lina Hacker United Kingdom 10 231 0.7× 188 0.6× 20 0.8× 64 2.6× 35 2.7× 29 297
Iku Yamaga Japan 4 318 1.0× 215 0.7× 17 0.7× 106 4.2× 16 1.2× 8 335
Anton A. Plekhanov Russia 11 305 0.9× 194 0.6× 14 0.6× 13 0.5× 46 3.5× 38 380
Masae Torii Japan 9 216 0.7× 179 0.6× 34 1.4× 58 2.3× 15 1.2× 16 293
Fanglue Lin United States 7 275 0.8× 249 0.8× 22 0.9× 23 0.9× 21 1.6× 14 330
Kenneth Kist United States 8 226 0.7× 184 0.6× 73 2.9× 47 1.9× 14 1.1× 13 366
Jacqueline Gunther Ireland 12 200 0.6× 250 0.8× 30 1.2× 6 0.2× 12 0.9× 40 342
J.M. Klaase Netherlands 5 191 0.6× 139 0.5× 31 1.2× 59 2.4× 11 0.8× 15 250

Countries citing papers authored by Marion Piepenbrock

Since Specialization
Citations

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

Fields of papers citing papers by Marion Piepenbrock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Piepenbrock

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

All Works

18 of 18 papers shown
1.
Dencks, Stefanie, Saskia von Stillfried, Marion Piepenbrock, et al.. (2023). Ultrasound Localization Microscopy for Breast Cancer Imaging in Patients: Protocol Optimization and Comparison with Shear Wave Elastography. Ultrasound in Medicine & Biology. 50(1). 57–66. 11 indexed citations
2.
Dencks, Stefanie, Marion Piepenbrock, & Georg Schmitz. (2021). Velocity Filtering with a Median Filter Better Preserves Small Vessels for Ultrasound Localization Microscopy. 1–4. 1 indexed citations
3.
Rix, Anne, Marion Piepenbrock, Saskia von Stillfried, et al.. (2021). Effects of contrast-enhanced ultrasound treatment on neoadjuvant chemotherapy in breast cancer. Theranostics. 11(19). 9557–9570. 30 indexed citations
4.
5.
Piepenbrock, Marion, Stefanie Dencks, & Georg Schmitz. (2021). Tissue Motion Estimation of Contrast Enhanced Ultrasound Images with A Stable Principal Component Pursuit. 1642–1645. 1 indexed citations
6.
Piepenbrock, Marion, Stefanie Dencks, & Georg Schmitz. (2020). Microbubble Tracking with a Nonlinear Motion Model. 1–4. 7 indexed citations
7.
Dencks, Stefanie, Marion Piepenbrock, & Georg Schmitz. (2020). Assessing Vessel Reconstruction in Ultrasound Localization Microscopy by Maximum Likelihood Estimation of a Zero-Inflated Poisson Model. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(8). 1603–1612. 25 indexed citations
8.
Piepenbrock, Marion, et al.. (2020). Tracking of Microbubbles with a Recurrent Neural Network for Super-Resolution Imaging. 527. 1–4. 2 indexed citations
9.
Piepenbrock, Marion, Stefanie Dencks, & Georg Schmitz. (2019). Reliable Motion Estimation in Super-Resolution US by Reducing the Interference of Microbubble Movement. 384–387. 5 indexed citations
10.
Piepenbrock, Marion, et al.. (2019). Advancing the Feasible Microbubble Concentration in Super-Resolution. 34. 388–391. 3 indexed citations
11.
Dencks, Stefanie, Marion Piepenbrock, & Georg Schmitz. (2019). Maximum-Likelihood Estimation to Assess the Degree of Reconstruction of Microvasculature from Super-Resolution US Imaging. 527. 376–379. 1 indexed citations
12.
Opacic, Tatjana, Stefanie Dencks, Benjamin Theek, et al.. (2018). Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization. Nature Communications. 9(1). 1527–1527. 194 indexed citations
13.
Piepenbrock, Marion, Stefanie Dencks, & Georg Schmitz. (2018). Performance of Foreground-Background Separation Algorithms for the Detection of Microbubbles in Super-Resolution Imaging. 34. 1–9. 1 indexed citations
14.
Dencks, Stefanie, Marion Piepenbrock, Tatjana Opacic, et al.. (2018). Clinical Pilot Application of Super-Resolution US Imaging in Breast Cancer. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(3). 517–526. 69 indexed citations
15.
Dencks, Stefanie, Marion Piepenbrock, Tatjana Opacic, et al.. (2018). Relative Blood Volume Estimation from Clinical Super-Resolution US Imaging in Breast Cancer. 1–4. 6 indexed citations
16.
Dencks, Stefanie, Marion Piepenbrock, Georg Schmitz, Tatjana Opacic, & Fabian Kießling. (2017). Determination of adequate measurement times for super-resolution characterization of tumor vascularization. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 10 indexed citations
17.
Piepenbrock, Marion, Felix Busch, J. Henniger, K. Kroeninger, & J. Walbersloh. (2017). Development of a badge for the thin-layer thermoluminescence dosemeter system TL-DOS to measure the personal dose equivalentHp(10)andHp(0.07). Radiation Measurements. 106. 543–545. 1 indexed citations
18.
Dencks, Stefanie, Tatjana Opacic, Marion Piepenbrock, Fabian Kießling, & Georg Schmitz. (2017). Determination of adequate measurement times for super-resolution characterization of tumor vascularization. 2017 IEEE International Ultrasonics Symposium (IUS). 1–1. 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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