Manuel K. Rausch

2.3k total citations
99 papers, 1.6k citations indexed

About

Manuel K. Rausch is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Manuel K. Rausch has authored 99 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biomedical Engineering, 38 papers in Cardiology and Cardiovascular Medicine and 30 papers in Surgery. Recurrent topics in Manuel K. Rausch's work include Cardiac Valve Diseases and Treatments (34 papers), Elasticity and Material Modeling (26 papers) and Cardiovascular Function and Risk Factors (14 papers). Manuel K. Rausch is often cited by papers focused on Cardiac Valve Diseases and Treatments (34 papers), Elasticity and Material Modeling (26 papers) and Cardiovascular Function and Risk Factors (14 papers). Manuel K. Rausch collaborates with scholars based in United States, Poland and Germany. Manuel K. Rausch's co-authors include Ellen Kuhl, Gabriella P. Sugerman, Jay D. Humphrey, Adrián Buganza Tepole, Tomasz A. Timek, Marcin Malinowski, Serdar Göktepe, William D. Meador, Sapun H. Parekh and D. Craig Miller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Biomaterials.

In The Last Decade

Manuel K. Rausch

89 papers receiving 1.6k citations

Peers

Manuel K. Rausch

CCM

SURGE

PRM

Choon Hwai Yap Singapore

Serdar Göktepe United States

Seungik Baek United States

M.Á. Martínez Spain

Cheng–Jen Chuong United States

Nele Famaey Belgium

Franco Maria Montevecchi Italy

Caitríona Lally Ireland

Estefanía Peña Spain

Kevin M. Moerman Ireland

Choon Hwai Yap Singapore

Manuel K. Rausch

464 ×0.6

635 ×1.1

CCM

378 ×1.0

SURGE

294 ×1.1

PRM

67 ×0.3

Citations per year, relative to Manuel K. Rausch Manuel K. Rausch (= 1×) peers Choon Hwai Yap

Countries citing papers authored by Manuel K. Rausch

Since Specialization

Citations

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

Fields of papers citing papers by Manuel K. Rausch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel K. Rausch. 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 Manuel K. Rausch. The network helps show where Manuel K. Rausch may publish in the future.

Co-authorship network of co-authors of Manuel K. Rausch

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel K. Rausch. A scholar is included among the top collaborators of Manuel K. Rausch 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 Manuel K. Rausch. Manuel K. Rausch 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

Rausch, Manuel K., et al.. (2025). Mechanical properties of fresh rhesus monkey brain tissue. Acta Biomaterialia. 196. 233–243. 1 indexed citations

Meador, William D., Mrudang Mathur, Tomasz Jaźwiec, et al.. (2025). Tricuspid valve leaflet remodeling in sheep with biventricular heart failure: A comparison between leaflets. Acta Biomaterialia. 198. 234–244. 2 indexed citations

Rodriguez‐Rivera, Gabriel J., Allison Post, Fei Xu, et al.. (2025). Injectable ionic hydrogel conductors: Advancing material design to transform cardiac pacing. Biomaterials. 317. 123071–123071. 4 indexed citations

Kalina, Karl A., et al.. (2025). Inverse design of anisotropic microstructures using physics-augmented neural networks. Journal of the Mechanics and Physics of Solids. 203. 106161–106161. 10 indexed citations

Sugerman, Gabriella P., et al.. (2025). Mechano‐Lysis in Whole Blood Clots: On How Mechanics Affect Clot Lysis, and How Lysis Affects Clot Mechanics. Advanced Healthcare Materials. 14(9). e2403389–e2403389.

Robinson, Andrew, et al.. (2024). Polycaprolactone-based shape memory foams as self-fitting vaginal stents. Acta Biomaterialia. 187. 172–182. 7 indexed citations

Liu, Shiyu, Aram Bahmani, Gabriella P. Sugerman, et al.. (2024). Adhesive and cohesive fracture of blood clots: Experiments and modeling. Journal of the Mechanics and Physics of Solids. 193. 105858–105858. 5 indexed citations

Gawęda, Bogusław, Jeremy W. Prokop, Kazimierz Widenka, et al.. (2024). Differential gene expression of leaflet tissue in chronic ovine functional tricuspid regurgitation. European Journal of Cardio-Thoracic Surgery. 65(6).

Woessner, Alan E., Jin-Woo Kim, Manuel K. Rausch, et al.. (2024). A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression. Acta Biomaterialia. 186. 167–184. 2 indexed citations

10.

Peirlinck, Mathias, Juan A. Hurtado, Manuel K. Rausch, Adrián Buganza Tepole, & Ellen Kuhl. (2024). A universal material model subroutine for soft matter systems. Engineering With Computers. 41(2). 905–927. 8 indexed citations

11.

Sugerman, Gabriella P., et al.. (2023). Elasticity of whole blood clots measured via Volume Controlled Cavity Expansion. Journal of the mechanical behavior of biomedical materials. 143. 105901–105901. 6 indexed citations

12.

Veith, Austin, et al.. (2023). Drug eluting chest tube with sustained release of local anesthetic agents for pain reduction. Applied Materials Today. 32. 101817–101817. 1 indexed citations

13.

Malinowski, Marcin, Mrudang Mathur, Gabriella P. Sugerman, et al.. (2023). Untangling the mechanisms of pulmonary arterial hypertension-induced right ventricular stiffening in a large animal model. Acta Biomaterialia. 171. 155–165. 4 indexed citations

14.

Rausch, Manuel K., et al.. (2023). Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. Computer Methods in Applied Mechanics and Engineering. 411. 116046–116046. 29 indexed citations

15.

Sugerman, Gabriella P., Jin Yang, & Manuel K. Rausch. (2023). A Speckling Technique for DIC on Ultra-Soft, Highly Hydrated Materials. Experimental Mechanics. 63(3). 585–590. 10 indexed citations

16.

Gawęda, Bogusław, et al.. (2023). Valvular complex and tissue remodelling in ovine functional tricuspid regurgitation. European Journal of Cardio-Thoracic Surgery. 63(5). 4 indexed citations

17.

Zhang, Xuesong, et al.. (2023). AI-dente: an open machine learning based tool to interpret nano-indentation data of soft tissues and materials. Soft Matter. 19(35). 6710–6720. 5 indexed citations

18.

Schibilsky, David, Johannes Scheumann, Halil Demir, et al.. (2022). Development of a Novel Adapter to Enable Less-Invasive Left Ventricular Assist Device Implantation via the Left Ventricular Apex. ASAIO Journal. 68(9). e142–e144. 6 indexed citations

19.

Rausch, Manuel K., et al.. (2019). A computational model to predict cell traction-mediated prestretch in the mitral valve. Computer Methods in Biomechanics & Biomedical Engineering. 22(15). 1174–1185. 3 indexed citations

20.

Malinowski, Marcin, et al.. (2019). The influence of tricuspid annuloplasty prostheses on ovine annular geometry and kinematics. Journal of Thoracic and Cardiovascular Surgery. 161(2). e191–e207. 6 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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