Mette S. Olufsen

4.4k total citations · 1 hit paper
87 papers, 3.1k citations indexed

About

Mette S. Olufsen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Mette S. Olufsen has authored 87 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cardiology and Cardiovascular Medicine, 23 papers in Surgery and 18 papers in Biomedical Engineering. Recurrent topics in Mette S. Olufsen's work include Cardiovascular Health and Disease Prevention (34 papers), Heart Rate Variability and Autonomic Control (22 papers) and Cardiovascular Function and Risk Factors (15 papers). Mette S. Olufsen is often cited by papers focused on Cardiovascular Health and Disease Prevention (34 papers), Heart Rate Variability and Autonomic Control (22 papers) and Cardiovascular Function and Risk Factors (15 papers). Mette S. Olufsen collaborates with scholars based in United States, Denmark and United Kingdom. Mette S. Olufsen's co-authors include Ali Nadim, Johnny T. Ottesen, Charles S. Peskin, Erik Morre Pedersen, Jesper Larsen, Won Yong Kim, Vera Novak, Hien Tran, Lewis A. Lipsitz and Laura Ellwein and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Journal of Fluid Mechanics.

In The Last Decade

Mette S. Olufsen

85 papers receiving 3.0k citations

Hit Papers

Numerical Simulation and Experimental Validation of Blood... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mette S. Olufsen United States 27 1.7k 834 764 622 432 87 3.1k
Jordi Alastruey United Kingdom 33 2.8k 1.6× 1.3k 1.6× 747 1.0× 1.4k 2.3× 649 1.5× 104 3.9k
Andrew J. Pullan New Zealand 42 2.1k 1.2× 698 0.8× 880 1.2× 1.1k 1.7× 489 1.1× 149 5.1k
Nicolas P. Smith United Kingdom 39 2.8k 1.6× 599 0.7× 331 0.4× 1.1k 1.7× 860 2.0× 148 4.6k
A.P.G. Hoeks Netherlands 30 2.4k 1.4× 812 1.0× 1.2k 1.5× 520 0.8× 756 1.8× 76 3.9k
Abraham Noordergraaf United States 31 2.2k 1.2× 990 1.2× 478 0.6× 1.1k 1.7× 412 1.0× 156 3.3k
Peter H. M. Bovendeerd Netherlands 30 1.8k 1.0× 577 0.7× 356 0.5× 1.1k 1.8× 609 1.4× 80 2.7k
W. A. Seed United Kingdom 25 1.1k 0.6× 654 0.8× 819 1.1× 315 0.5× 351 0.8× 53 2.5k
Maria Drangova Canada 36 1.2k 0.7× 678 0.8× 563 0.7× 1.3k 2.0× 1.9k 4.5× 174 4.2k
Martyn P. Nash New Zealand 34 2.3k 1.3× 559 0.7× 327 0.4× 1.4k 2.2× 638 1.5× 165 4.2k
Marleen de Bruijne Denmark 36 372 0.2× 357 0.4× 1.9k 2.5× 605 1.0× 1.4k 3.3× 210 4.4k

Countries citing papers authored by Mette S. Olufsen

Since Specialization
Citations

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

Fields of papers citing papers by Mette S. Olufsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mette S. Olufsen. 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 Mette S. Olufsen. The network helps show where Mette S. Olufsen may publish in the future.

Co-authorship network of co-authors of Mette S. Olufsen

This figure shows the co-authorship network connecting the top 25 collaborators of Mette S. Olufsen. A scholar is included among the top collaborators of Mette S. Olufsen 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 Mette S. Olufsen. Mette S. Olufsen 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.
Weigand, Justin, et al.. (2025). Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients. Journal of The Royal Society Interface. 22(223). 20240663–20240663. 2 indexed citations
2.
Haider, Mansoor A., et al.. (2024). Application and reduction of a nonlinear hyperelastic wall model capturing ex vivo relationships between fluid pressure, area, and wall thickness in normal and hypertensive murine left pulmonary arteries. International Journal for Numerical Methods in Biomedical Engineering. 40(3). e3798–e3798. 1 indexed citations
3.
Berg, Ronan M. G., et al.. (2024). Characterization of differences in immune responses during bolus and continuous infusion endotoxin challenges using mathematical modelling. Experimental Physiology. 109(5). 689–710. 2 indexed citations
4.
Oomen, Pim J. A., Colleen M. Witzenburg, Anna Grosberg, et al.. (2024). Guidelines for mechanistic modeling and analysis in cardiovascular research. American Journal of Physiology-Heart and Circulatory Physiology. 327(2). H473–H503. 3 indexed citations
5.
Johnston, Natalie R., et al.. (2023). A topological data analysis study on murine pulmonary arterial trees with pulmonary hypertension. Mathematical Biosciences. 364. 109056–109056. 1 indexed citations
6.
V, Aurelio A. de los Reyes, et al.. (2023). Toward an optimal contraception dosing strategy. PLoS Computational Biology. 19(4). e1010073–e1010073. 5 indexed citations
7.
Weigand, Justin, et al.. (2022). A computational study of aortic reconstruction in single ventricle patients. Biomechanics and Modeling in Mechanobiology. 22(1). 357–377. 5 indexed citations
8.
Qureshi, M. Umar, et al.. (2022). Numerical predictions of shear stress and cyclic stretch in pulmonary hypertension due to left heart failure. Biomechanics and Modeling in Mechanobiology. 21(1). 363–381. 18 indexed citations
9.
Alexanderian, Alen, et al.. (2021). Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model. Journal of Theoretical Biology. 526. 110759–110759. 7 indexed citations
10.
Brady‐Nicholls, Renee, Pierre A. Gremaud, Hien Tran, et al.. (2019). Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models. Journal of Mathematical Biology. 79(3). 987–1014. 8 indexed citations
11.
Carlson, Brian E., et al.. (2018). Practical identifiability and uncertainty quantification of a pulsatile cardiovascular model. Mathematical Biosciences. 304. 9–24. 35 indexed citations
12.
Frank‐Ito, Dennis O., Hien Tran, Kirsten Møller, et al.. (2018). Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability. Mathematical Modelling of Natural Phenomena. 13(5). 42–42. 10 indexed citations
13.
Mahdi, Adam, Anthony A. Birch, Mette S. Olufsen, et al.. (2017). Increased blood pressure variability upon standing up improves reproducibility of cerebral autoregulation indices. Medical Engineering & Physics. 47(1). 151–158. 25 indexed citations
14.
Aoi, Mikio, et al.. (2011). Toward online, noninvasive, nonlinear assessment of cerebral autoregulation. PubMed. 82. 2410–2413. 5 indexed citations
15.
Valdez‐Jasso, Daniela, H. T. Banks, Mansoor A. Haider, et al.. (2009). Viscoelastic Models for Passive Arterial Wall Dynamics. Advances in Applied Mathematics and Mechanics. 1(2). 151–165. 22 indexed citations
16.
Valdez‐Jasso, Daniela, Mansoor A. Haider, Stephen L. Campbell, et al.. (2009). Modeling Viscoelastic Wall Properties of Ovine Arteries. 799–800. 1 indexed citations
17.
Ellwein, Laura, et al.. (2008). Estimation and identification of parameters in a lumpedcerebrovascular model. Mathematical Biosciences & Engineering. 6(1). 93–115. 60 indexed citations
18.
Ellwein, Laura, et al.. (2007). Sensitivity Analysis and Model Assessment: Mathematical Models for Arterial Blood Flow and Blood Pressure. PubMed. 8(2). 94–108. 72 indexed citations
19.
Olufsen, Mette S. & Ali Nadim. (2004). On deriving lumped models for blood flow and pressure in the systemic arteries. Mathematical Biosciences & Engineering. 1(1). 61–80. 104 indexed citations
20.
Olufsen, Mette S., Ali Nadim, & Lewis A. Lipsitz. (2002). Dynamics of cerebral blood flow regulation explained using a lumped parameter model. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 282(2). R611–R622. 85 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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