Bart Smeets

1.6k total citations
61 papers, 1.1k citations indexed

About

Bart Smeets is a scholar working on Biomedical Engineering, Cell Biology and Mechanical Engineering. According to data from OpenAlex, Bart Smeets has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 18 papers in Cell Biology and 10 papers in Mechanical Engineering. Recurrent topics in Bart Smeets's work include Cellular Mechanics and Interactions (17 papers), 3D Printing in Biomedical Research (15 papers) and Tree Root and Stability Studies (7 papers). Bart Smeets is often cited by papers focused on Cellular Mechanics and Interactions (17 papers), 3D Printing in Biomedical Research (15 papers) and Tree Root and Stability Studies (7 papers). Bart Smeets collaborates with scholars based in Belgium, Netherlands and France. Bart Smeets's co-authors include Herman Ramón, Simon Vanmaercke, Tim Odenthal, Stefaan Nijs, Harm Hoekstra, Wouter Saeys, Willem‐Jan Metsemakers, Hans Van Oosterwyck, Bart Nicolaı̈ and Paul Van Liedekerke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Bart Smeets

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Smeets Belgium 19 259 217 174 174 157 61 1.1k
Dong-Hee Lee South Korea 20 384 1.5× 115 0.5× 133 0.8× 157 0.9× 154 1.0× 128 1.5k
Toshihiko SHIRAISHI Japan 19 134 0.5× 38 0.2× 55 0.3× 386 2.2× 75 0.5× 88 1.1k
Alex Fowler United States 20 389 1.5× 40 0.2× 294 1.7× 281 1.6× 156 1.0× 45 2.0k
Limin Chen China 22 224 0.9× 59 0.3× 68 0.4× 299 1.7× 20 0.1× 58 1.3k
Zhiyan Wei China 9 154 0.6× 188 0.9× 35 0.2× 144 0.8× 27 0.2× 16 825
Sang‐Won Lee South Korea 23 751 2.9× 80 0.4× 82 0.5× 21 0.1× 21 0.1× 123 1.6k
Mohammad R. Islam United States 12 295 1.1× 85 0.4× 61 0.4× 78 0.4× 15 0.1× 25 800
Jing Tu China 22 291 1.1× 35 0.2× 63 0.4× 158 0.9× 38 0.2× 139 1.6k
Hiroyuki Kagawa Japan 20 187 0.7× 30 0.1× 69 0.4× 129 0.7× 19 0.1× 138 1.4k
Wenbin Mao United States 21 523 2.0× 49 0.2× 186 1.1× 66 0.4× 303 1.9× 47 1.4k

Countries citing papers authored by Bart Smeets

Since Specialization
Citations

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

Fields of papers citing papers by Bart Smeets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Smeets

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Smeets. A scholar is included among the top collaborators of Bart Smeets 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 Bart Smeets. Bart Smeets 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.
Storozhuk, Liudmyla, Rodrigo de Oliveira Silva, Stefanos Mourdikoudis, et al.. (2025). 4D Biofabrication of Magnetically Augmented Callus Assembloid Implants Enables Rapid Endochondral Ossification via Activation of Mechanosensitive Pathways. Advanced Science. 12(15). e2413680–e2413680. 5 indexed citations
2.
Berghe, Pieter Vanden, et al.. (2025). Active foam dynamics of tissue spheroid fusion. Nature Communications. 16(1). 10467–10467.
3.
Smeets, Bart, et al.. (2024). Emergence of bidirectional cell laning from collective contact guidance. Nature Physics. 20(8). 1324–1331. 1 indexed citations
4.
Boeij, Wim P. de, et al.. (2024). Driving exposure accuracy and cost-of-ownership on DUV immersion and dry-NXT scanner products. 39–39. 1 indexed citations
5.
Ramón, Herman, et al.. (2023). Stability of asymmetric cell division: A deformable cell model of cytokinesis applied to C. elegans. Biophysical Journal. 122(10). 1858–1867. 8 indexed citations
6.
Steenackers, Hans, et al.. (2023). Anomalous diffusion of nanoparticles in the spatially heterogeneous biofilm environment. iScience. 26(6). 106861–106861. 9 indexed citations
7.
Smeets, Bart, et al.. (2023). Supporting future DRAM overlay and EPE roadmaps with the NXT:2100i. 34–34. 1 indexed citations
8.
Pieczywek, Piotr M., et al.. (2023). Micromechanics of apple and pear tissues for fruit growth modeling. Acta Horticulturae. 131–138. 2 indexed citations
9.
Lories, Bram, et al.. (2022). Permissive aggregative group formation favors coexistence between cooperators and defectors in yeast. The ISME Journal. 16(10). 2305–2312. 4 indexed citations
10.
Geris, Liesbet, et al.. (2022). Mechanical Regulation of Limb Bud Formation. Cells. 11(3). 420–420. 6 indexed citations
11.
Saeys, Wouter, et al.. (2021). Packing simulation of thin flexible particles using a novel discrete element model. Computational Particle Mechanics. 9(3). 407–420. 3 indexed citations
12.
Smeets, Bart, et al.. (2021). spheresDT/Mpacts-PiCS: cell tracking and shape retrieval in membrane-labeled embryos. Bioinformatics. 37(24). 4851–4856. 11 indexed citations
13.
Smeets, Bart, et al.. (2020). The role of actin protrusion dynamics in cell migration through a degradable viscoelastic extracellular matrix: Insights from a computational model. PLoS Computational Biology. 16(1). e1007250–e1007250. 31 indexed citations
14.
Smeets, Bart, Gabriella Nilsson Hall, Veerle Bloemen, et al.. (2020). Compaction Dynamics during Progenitor Cell Self-Assembly Reveal Granular Mechanics. Matter. 2(5). 1283–1295. 12 indexed citations
15.
Metsemakers, Willem‐Jan, Bart Smeets, Stefaan Nijs, & Harm Hoekstra. (2017). Infection after fracture fixation of the tibia: Analysis of healthcare utilization and related costs. Injury. 48(6). 1204–1210. 128 indexed citations
16.
Guyot, Yann, Bart Smeets, Tim Odenthal, et al.. (2016). Immersed Boundary Models for Quantifying Flow-Induced Mechanical Stimuli on Stem Cells Seeded on 3D Scaffolds in Perfusion Bioreactors. PLoS Computational Biology. 12(9). e1005108–e1005108. 24 indexed citations
17.
Smeets, Bart, Eldhose Iype, S. V. Nedea, H.A. Zondag, & C.C.M. Rindt. (2013). A DFT based equilibrium study on the hydrolysis and the dehydration reactions of MgCl2 hydrates. The Journal of Chemical Physics. 139(12). 124312–124312. 31 indexed citations
18.
Odenthal, Tim, Bart Smeets, Paul Van Liedekerke, et al.. (2013). Analysis of Initial Cell Spreading Using Mechanistic Contact Formulations for a Deformable Cell Model. PLoS Computational Biology. 9(10). e1003267–e1003267. 45 indexed citations
19.
Smeets, Bart, Tim Odenthal, Engelbert Tijskens, Herman Ramón, & Hans Van Oosterwyck. (2013). Quantifying the mechanical micro-environment during three-dimensional cell expansion on microbeads by means of individual cell-based modelling. Computer Methods in Biomechanics & Biomedical Engineering. 16(10). 1071–1084. 5 indexed citations
20.
Liedekerke, Paul Van, Pieter Ghysels, Engelbert Tijskens, et al.. (2010). A particle based model to simulate the micromechanics of single plant cells and aggregates. Physical Biology. 7. 1 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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