Mark C. van Turnhout

739 total citations
24 papers, 527 citations indexed

About

Mark C. van Turnhout is a scholar working on Biomedical Engineering, Biomaterials and Rheumatology. According to data from OpenAlex, Mark C. van Turnhout has authored 24 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Biomaterials and 6 papers in Rheumatology. Recurrent topics in Mark C. van Turnhout's work include Osteoarthritis Treatment and Mechanisms (6 papers), Cellular Mechanics and Interactions (5 papers) and Collagen: Extraction and Characterization (4 papers). Mark C. van Turnhout is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), Cellular Mechanics and Interactions (5 papers) and Collagen: Extraction and Characterization (4 papers). Mark C. van Turnhout collaborates with scholars based in Netherlands, United States and Finland. Mark C. van Turnhout's co-authors include J.L. van Leeuwen, S. Kranenbarg, Carlijn V. C. Bouten, C.W.J. Oomens, H. Schipper, Nicholas A. Kurniawan, Corrinus C. van Donkelaar, Ahmet Erdemir, Maarten Merkx and Pascal A. Pieters and has published in prestigious journals such as PLoS ONE, Scientific Reports and Advanced Science.

In The Last Decade

Mark C. van Turnhout

23 papers receiving 524 citations

Peers

Mark C. van Turnhout
Christopher Yu United States
Brendan P. Flynn United States
David D. Allison United States
Ramin Zareian United States
Changmo Hwang South Korea
Christopher Yu United States
Mark C. van Turnhout
Citations per year, relative to Mark C. van Turnhout Mark C. van Turnhout (= 1×) peers Christopher Yu

Countries citing papers authored by Mark C. van Turnhout

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. van Turnhout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. van Turnhout. 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 Mark C. van Turnhout. The network helps show where Mark C. van Turnhout may publish in the future.

Co-authorship network of co-authors of Mark C. van Turnhout

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. van Turnhout. A scholar is included among the top collaborators of Mark C. van Turnhout 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 Mark C. van Turnhout. Mark C. van Turnhout 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.
Turnhout, Mark C. van, et al.. (2023). SFAlab: image-based quantification of mechano-active ventral actin stress fibers in adherent cells. Frontiers in Cell and Developmental Biology. 11. 1267822–1267822. 2 indexed citations
2.
Saberi, Aref, Ignasi Jorba, Mark C. van Turnhout, et al.. (2023). Shape‐Morphing Photoresponsive Hydrogels Reveal Dynamic Topographical Conditioning of Fibroblasts. Advanced Science. 10(31). e2303136–e2303136. 19 indexed citations
3.
Turnhout, Mark C. van, et al.. (2022). Notch signaling regulates strain-mediated phenotypic switching of vascular smooth muscle cells. Frontiers in Cell and Developmental Biology. 10. 910503–910503. 9 indexed citations
4.
Subedi, Nikita, Liesbeth P. Verhagen, Paul K.J.D. de Jonge, et al.. (2022). Single‐Cell Profiling Reveals Functional Heterogeneity and Serial Killing in Human Peripheral and Ex Vivo‐Generated CD34+ Progenitor‐Derived Natural Killer Cells. Advanced Biology. 7(4). e2200207–e2200207. 2 indexed citations
5.
Turnhout, Mark C. van, et al.. (2021). Biomaterial screening of protein coatings and peptide additives: towards a simple synthetic mimic of a complex natural coating for a bio-artificial kidney. Biomaterials Science. 9(6). 2209–2220. 13 indexed citations
6.
Subedi, Nikita, et al.. (2021). An automated real-time microfluidic platform to probe single NK cell heterogeneity and cytotoxicity on-chip. Scientific Reports. 11(1). 17084–17084. 23 indexed citations
7.
Turnhout, Mark C. van, et al.. (2020). Risk factors for developing heel ulcers for bedridden patients: A finite element study. Clinical Biomechanics. 78. 105094–105094. 7 indexed citations
8.
Ristori, Tommaso, Mark C. van Turnhout, Siamak S. Shishvan, et al.. (2020). Cellular Contact Guidance Emerges from Gap Avoidance. Cell Reports Physical Science. 1(5). 100055–100055. 50 indexed citations
9.
Turnhout, Mark C. van, et al.. (2019). There is an individual tolerance to mechanical loading in compression induced deep tissue injury. Clinical Biomechanics. 63. 153–160. 15 indexed citations
10.
Turnhout, Mark C. van, Kevin M. Moerman, Aart J. Nederveen, et al.. (2018). MRI based 3D finite element modelling to investigate deep tissue injury. Computer Methods in Biomechanics & Biomedical Engineering. 21(14). 760–769. 7 indexed citations
11.
Bax, Noortje A.M., et al.. (2015). Behavior of CMPCs in unidirectional constrained and stress-free 3D hydrogels. Journal of Molecular and Cellular Cardiology. 87. 79–91. 19 indexed citations
12.
Turnhout, Mark C. van, et al.. (2014). Deformation Thresholds for Chondrocyte Death and the Protective Effect of the Pericellular Matrix. Tissue Engineering Part A. 20(13-14). 1870–1876. 16 indexed citations
13.
Aper, Stijn J. A., Mark C. van Turnhout, Ardjan J. van der Linden, et al.. (2014). Colorful Protein-Based Fluorescent Probes for Collagen Imaging. PLoS ONE. 9(12). e114983–e114983. 84 indexed citations
14.
Halloran, Jason P., Scott C. Sibole, Corrinus C. van Donkelaar, et al.. (2012). Multiscale Mechanics of Articular Cartilage: Potentials and Challenges of Coupling Musculoskeletal, Joint, and Microscale Computational Models. Annals of Biomedical Engineering. 40(11). 2456–2474. 56 indexed citations
15.
Turnhout, Mark C. van, S. Kranenbarg, & J.L. van Leeuwen. (2010). Contribution of postnatal collagen reorientation to depth-dependent mechanical properties of articular cartilage. Biomechanics and Modeling in Mechanobiology. 10(2). 269–279. 22 indexed citations
16.
Turnhout, Mark C. van, H. Schipper, B. Engel, et al.. (2010). Postnatal development of collagen structure in ovine articular cartilage. BMC Developmental Biology. 10(1). 62–62. 39 indexed citations
17.
Turnhout, Mark C. van, S. Kranenbarg, & J.L. van Leeuwen. (2009). Modeling optical behavior of birefringent biological tissues for evaluation of quantitative polarized light microscopy. Journal of Biomedical Optics. 14(5). 54018–54018. 25 indexed citations
18.
Turnhout, Mark C. van, et al.. (2008). Quantitative description of collagen structure in the articular cartilage of the young and adult equine distal metacarpus. Animal Biology. 58(4). 353–370. 21 indexed citations
19.
Turnhout, Mark C. van, et al.. (2005). Passive transverse mechanical properties as a function of temperature of rat skeletal muscle in vitro. Biorheology. 42(3). 193–207. 23 indexed citations
20.
Aarnoudse, Wilbert, Frans N. van de Vosse, Maartje Geven, et al.. (2004). Myocardial resistance assessed by guidewire‐based pressure‐temperature measurement: In vitro validation. Catheterization and Cardiovascular Interventions. 62(1). 56–63. 52 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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