Jan Bruening

431 total citations
9 papers, 97 citations indexed

About

Jan Bruening is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jan Bruening has authored 9 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Jan Bruening's work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Valve Diseases and Treatments (7 papers) and Aortic Disease and Treatment Approaches (3 papers). Jan Bruening is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiac Valve Diseases and Treatments (7 papers) and Aortic Disease and Treatment Approaches (3 papers). Jan Bruening collaborates with scholars based in Germany. Jan Bruening's co-authors include Leonid Goubergrits, Titus Küehne, Pavlo Yevtushenko, Sarah Nordmeyer, Marcus Kelm, Christoph Knosalla, Natalia Solowjowa, Felix Berger, Lennart Tautz and Simon Sündermann and has published in prestigious journals such as Biophysical Journal, Frontiers in Physiology and BioMedical Engineering OnLine.

In The Last Decade

Jan Bruening

9 papers receiving 95 citations

Peers

Jan Bruening

CCM

SURGE

PRM

EPIDE

RNMI

Markus Hüllebrand Germany

Mathieu Pernot France

Guillem Casas Spain

Klaus Steigmiller Switzerland

Markus Reinartz Germany

Kirsten Harvey United Kingdom

Angels Lozano Spain

Adriana Postolache Belgium

Roland Rossi France

Diego Cugola Italy

Markus Hüllebrand Germany

Jan Bruening

95 ×1.4

CCM

26 ×0.7

SURGE

56 ×2.0

PRM

31 ×2.1

EPIDE

46 ×3.1

RNMI

Citations per year, relative to Jan Bruening Jan Bruening (= 1×) peers Markus Hüllebrand

Countries citing papers authored by Jan Bruening

Since Specialization

Citations

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

Fields of papers citing papers by Jan Bruening

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Bruening

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

All Works

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9 of 9 papers shown

1.

Yevtushenko, Pavlo, Titus Küehne, Jan Bruening, & Leonid Goubergrits. (2025). A Simulation-Based Comparison of Human, Porcine and Ovine Pulmonary Artery Hemodynamics. Evaluating the Suitability of Large Animal Models for Endopulmonary Device Evaluation from a Hemodynamics Point of View. Cardiovascular Engineering and Technology. 16(6). 688–702. 1 indexed citations

2.

Yevtushenko, Pavlo, et al.. (2024). Deep learning based assessment of hemodynamics in the coarctation of the aorta: comparison of bidirectional recurrent and convolutional neural networks. Frontiers in Physiology. 15. 1288339–1288339. 3 indexed citations

3.

Goubergrits, Leonid, Lennart Tautz, Jan Bruening, et al.. (2022). CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics. Frontiers in Cardiovascular Medicine. 9. 901902–901902. 17 indexed citations

4.

Tautz, Lennart, Jan Bruening, Christoph Knosalla, et al.. (2022). CT-Based Simulation of Left Ventricular Hemodynamics: A Pilot Study in Mitral Regurgitation and Left Ventricle Aneurysm Patients. Frontiers in Cardiovascular Medicine. 9. 828556–828556. 12 indexed citations

5.

Yevtushenko, Pavlo, Jan Bruening, Sarah Nordmeyer, et al.. (2019). Surgical Aortic Valve Replacement: Are We Able to Improve Hemodynamic Outcome?. Biophysical Journal. 117(12). 2324–2336. 10 indexed citations

6.

Goubergrits, Leonid, Jan Bruening, Andreas Spuler, et al.. (2019). Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters. BioMedical Engineering OnLine. 18(1). 35–35. 10 indexed citations

7.

Yevtushenko, Pavlo, et al.. (2017). Numerical investigation of the impact of branching vessel boundary conditions on aortic hemodynamics. Current Directions in Biomedical Engineering. 3(2). 321–324. 2 indexed citations

8.

Nordmeyer, Sarah, Pavlo Yevtushenko, Jan Bruening, et al.. (2017). Hemodynamic Evaluation of a Biological and Mechanical Aortic Valve Prosthesis Using Patient‐Specific MRI‐Based CFD. Artificial Organs. 42(1). 49–57. 26 indexed citations

9.

Bruening, Jan, Pavlo Yevtushenko, Marcus Kelm, et al.. (2017). Impact of patient-specific LVOT inflow profiles on aortic valve prosthesis and ascending aorta hemodynamics. Journal of Computational Science. 24. 91–100. 16 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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