Andrew E. Pelling

4.7k total citations
76 papers, 3.2k citations indexed

About

Andrew E. Pelling is a scholar working on Cell Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Andrew E. Pelling has authored 76 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cell Biology, 36 papers in Biomedical Engineering and 27 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Andrew E. Pelling's work include Cellular Mechanics and Interactions (45 papers), 3D Printing in Biomedical Research (28 papers) and Force Microscopy Techniques and Applications (27 papers). Andrew E. Pelling is often cited by papers focused on Cellular Mechanics and Interactions (45 papers), 3D Printing in Biomedical Research (28 papers) and Force Microscopy Techniques and Applications (27 papers). Andrew E. Pelling collaborates with scholars based in Canada, United Kingdom and Australia. Andrew E. Pelling's co-authors include Kristina Haase, Ryan J. Hickey, James K. Gimzewski, Daniel J. Modulevsky, Charles M. Cuerrier, Buzz Baum, Tao Liu, Patricia Kunda, Edith B. Gralla and Zeinab Al‐Rekabi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Andrew E. Pelling

73 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew E. Pelling Canada 29 1.2k 1.2k 775 702 650 76 3.2k
Wolfgang H. Goldmann Germany 42 1.6k 1.3× 2.1k 1.7× 1.2k 1.6× 593 0.8× 739 1.1× 138 5.0k
Elliot L. Botvinick United States 32 1.0k 0.8× 1.5k 1.2× 1.6k 2.0× 356 0.5× 381 0.6× 78 3.8k
Philip Kollmannsberger Germany 30 1.4k 1.1× 1.3k 1.1× 660 0.9× 322 0.5× 374 0.6× 58 3.3k
Tatsuo Ushiki Japan 36 756 0.6× 803 0.7× 1.4k 1.8× 346 0.5× 647 1.0× 183 4.8k
Florian Rehfeldt Germany 27 1.4k 1.1× 1.9k 1.6× 1.5k 1.9× 433 0.6× 406 0.6× 63 4.0k
Aldo Ferrari Italy 36 2.1k 1.7× 968 0.8× 1.4k 1.9× 784 1.1× 476 0.7× 194 5.3k
Anna Taubenberger Germany 31 1.2k 1.0× 1.3k 1.1× 981 1.3× 368 0.5× 417 0.6× 55 3.1k
Bernd Hoffmann Germany 39 1.1k 0.9× 1.7k 1.4× 2.1k 2.7× 370 0.5× 440 0.7× 169 5.2k
Armando E. del Río Hernández United Kingdom 40 1.5k 1.2× 2.6k 2.1× 1.9k 2.5× 368 0.5× 659 1.0× 95 6.6k
Ralf Kemkemer Germany 26 1.7k 1.4× 1.8k 1.5× 617 0.8× 396 0.6× 285 0.4× 71 3.2k

Countries citing papers authored by Andrew E. Pelling

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Pelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Pelling. 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 Andrew E. Pelling. The network helps show where Andrew E. Pelling may publish in the future.

Co-authorship network of co-authors of Andrew E. Pelling

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew E. Pelling. A scholar is included among the top collaborators of Andrew E. Pelling 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 Andrew E. Pelling. Andrew E. Pelling 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.
Bayat, Arash, Daniel J. Modulevsky, Alex M. Laliberté, et al.. (2025). Poly-L-Ornithine coated plant scaffolds support motor recovery in rats after traumatic spinal cord injury. Scientific Reports. 15(1). 38080–38080.
2.
Pelling, Andrew E., et al.. (2025). The creation and validation of a fully animal component-free media for select adherent cell types. Integrative Biology. 17. 2 indexed citations
3.
Bui, Tuan V., et al.. (2023). Plant Cellulose as a Substrate for 3D Neural Stem Cell Culture. Bioengineering. 10(11). 1309–1309. 5 indexed citations
4.
Jean-Ruel, Hubert, et al.. (2021). Mechanotransduction of Strain Regulates an Invasive Phenotype in Newly Transformed Epithelial Cells. Frontiers in Physics. 9. 6 indexed citations
5.
Godin, Michel, et al.. (2020). Mechanical stretch sustains myofibroblast phenotype and function in microtissues through latent TGF-β1 activation. Integrative Biology. 12(8). 199–210. 26 indexed citations
6.
Godin, Michel, et al.. (2019). Time dependence of cellular responses to dynamic and complex strain fields. Integrative Biology. 11(1). 4–15. 4 indexed citations
7.
Singh, Gerald G., Vinicius F. Farjalla, Bing Chen, et al.. (2019). Researcher engagement in policy deemed societally beneficial yet unrewarded. Frontiers in Ecology and the Environment. 17(7). 375–382. 16 indexed citations
8.
Sean, David, et al.. (2016). Physical confinement signals regulate the organization of stem cells in three dimensions. Journal of The Royal Society Interface. 13(123). 20160613–20160613. 9 indexed citations
9.
Haase, Kristina, Tyler N. Shendruk, & Andrew E. Pelling. (2016). Rapid dynamics of cell-shape recovery in response to local deformations. Soft Matter. 13(3). 567–577. 4 indexed citations
10.
Ali, Shahzad, Ivan Wall, Chris Mason, Andrew E. Pelling, & Farlan Veraitch. (2015). The effect of Young’s modulus on the neuronal differentiation of mouse embryonic stem cells. Acta Biomaterialia. 25. 253–267. 52 indexed citations
11.
Haase, Kristina, Zeinab Al‐Rekabi, & Andrew E. Pelling. (2014). Mechanical Cues Direct Focal Adhesion Dynamics. Progress in molecular biology and translational science. 126. 103–134. 21 indexed citations
12.
Alshehri, A.M., Zeinab Al‐Rekabi, Ryan J. Hickey, Andrew E. Pelling, & V. R. Bhardwaj. (2014). Controlled cell adhesion on microstrucured Polydimethylsiloxane (PDMS) surface using femtosecond laser. SF2J.4–SF2J.4. 2 indexed citations
14.
Silberberg, Yaron & Andrew E. Pelling. (2013). Quantification of Intracellular Mitochondrial Displacements in Response to Nanomechanical Forces. Methods in molecular biology. 991. 185–193. 1 indexed citations
15.
Tremblay, Dominique, et al.. (2013). A microscale anisotropic biaxial cell stretching device for applications in mechanobiology. Biotechnology Letters. 36(3). 657–665. 46 indexed citations
16.
Dufrêne, Yves F. & Andrew E. Pelling. (2013). Force nanoscopy of cell mechanics and cell adhesion. Nanoscale. 5(10). 4094–4094. 78 indexed citations
17.
Pelling, Andrew E., et al.. (2012). Mechanically induced deformation and strain dynamics in actin stress fibers. Communicative & Integrative Biology. 5(6). 627–630. 9 indexed citations
18.
Modulevsky, Daniel J., et al.. (2012). The Physical Interaction of Myoblasts with the Microenvironment during Remodeling of the Cytoarchitecture. PLoS ONE. 7(9). e45329–e45329. 14 indexed citations
19.
Hernandez, Diana, et al.. (2011). Precisely delivered nano-mechanical forces induce blebbing in undifferentiated mouse embryonic stem cells. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Pelling, Andrew E., et al.. (2006). Self‐organized and highly ordered domain structures within swarms of Myxococcus xanthus. Cell Motility and the Cytoskeleton. 63(3). 141–148. 20 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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