Dylan M. Owen

7.0k total citations · 1 hit paper
115 papers, 5.1k citations indexed

About

Dylan M. Owen is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Dylan M. Owen has authored 115 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 62 papers in Biophysics and 21 papers in Immunology. Recurrent topics in Dylan M. Owen's work include Advanced Fluorescence Microscopy Techniques (62 papers), Lipid Membrane Structure and Behavior (35 papers) and Cell Image Analysis Techniques (31 papers). Dylan M. Owen is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (62 papers), Lipid Membrane Structure and Behavior (35 papers) and Cell Image Analysis Techniques (31 papers). Dylan M. Owen collaborates with scholars based in United Kingdom, Australia and United States. Dylan M. Owen's co-authors include Katharina Gaus, David J. Williamson, Astrid Magenau, Jérémie Rossy, Carles Rentero, George W. Ashdown, Ahmed Abu‐Siniyeh, P. M. W. French, Mark A. A. Neil and Pedro M. Pereira and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Dylan M. Owen

112 papers receiving 5.0k citations

Hit Papers

Fast live-cell conventional fluorophore nanoscopy with Im... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dylan M. Owen United Kingdom 39 2.7k 1.7k 794 702 628 115 5.1k
Keith A. Lidke United States 35 2.0k 0.8× 2.2k 1.3× 479 0.6× 1.0k 1.5× 613 1.0× 109 4.9k
Prabuddha Sengupta United States 32 2.6k 1.0× 1.1k 0.6× 318 0.4× 779 1.1× 813 1.3× 46 4.2k
Luc Reymond Switzerland 28 3.6k 1.3× 1.1k 0.6× 716 0.9× 553 0.8× 678 1.1× 45 5.4k
Travis J. Gould United States 27 1.6k 0.6× 1.6k 0.9× 887 1.1× 853 1.2× 459 0.7× 58 4.4k
Gerhard J. Schütz Austria 45 3.8k 1.4× 1.6k 1.0× 993 1.3× 1.4k 2.0× 833 1.3× 175 6.5k
Makio Tokunaga Japan 29 2.8k 1.0× 1.3k 0.7× 1.1k 1.4× 658 0.9× 731 1.2× 59 5.7k
Peter J. Verveer Germany 31 3.0k 1.1× 1.8k 1.0× 368 0.5× 670 1.0× 770 1.2× 52 4.9k
Diane S. Lidke United States 34 2.3k 0.9× 933 0.5× 587 0.7× 651 0.9× 523 0.8× 103 4.1k
Ben N. G. Giepmans Netherlands 45 6.2k 2.3× 1.5k 0.9× 434 0.5× 901 1.3× 1.2k 1.8× 105 9.8k
Yasushi Sako Japan 39 4.2k 1.6× 1.5k 0.9× 349 0.4× 845 1.2× 1.2k 1.9× 134 6.0k

Countries citing papers authored by Dylan M. Owen

Since Specialization
Citations

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

Fields of papers citing papers by Dylan M. Owen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan M. Owen. 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 Dylan M. Owen. The network helps show where Dylan M. Owen may publish in the future.

Co-authorship network of co-authors of Dylan M. Owen

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan M. Owen. A scholar is included among the top collaborators of Dylan M. Owen 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 Dylan M. Owen. Dylan M. Owen 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.
Nieves, Daniel J., Jeremy A. Pike, Mahmoud A. Ahmed, et al.. (2025). Nano-org, a functional resource for single-molecule localisation microscopy data. Nature Communications. 16(1). 8674–8674.
2.
Makarova, Maria, et al.. (2024). Mapping membrane biophysical nano-environments. Nature Communications. 15(1). 9641–9641. 5 indexed citations
3.
Nieves, Daniel J., Deirdre M. Kavanagh, Dylan M. Owen, et al.. (2023). Analyzing Angiotensin II Receptor Type 1 Clustering in PC12 Cells in Response to Hypoxia Using Direct Stochastic Optical Reconstruction Microscopy (dSTORM). Advances in experimental medicine and biology. 1427. 175–184. 3 indexed citations
4.
Pike, Jeremy A., Ying Di, Natalie S. Poulter, et al.. (2022). Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Computational Biology. 18(11). e1010708–e1010708. 4 indexed citations
5.
Patel, Lekha, David J. Williamson, Dylan M. Owen, & Edward A. K. Cohen. (2021). Blinking statistics and molecular counting in direct stochastic reconstruction microscopy (dSTORM). Bioinformatics. 37(17). 2730–2737. 6 indexed citations
6.
Waddington, Kirsty E., George Robinson, Sara Andreone, et al.. (2021). LXR directly regulates glycosphingolipid synthesis and affects human CD4+ T cell function. Proceedings of the National Academy of Sciences. 118(21). 36 indexed citations
7.
Smith, Paul, Dylan M. Owen, Christian D. Lorenz, & Maria Makarova. (2021). Asymmetric glycerophospholipids impart distinctive biophysical properties to lipid bilayers. Biophysical Journal. 120(9). 1746–1754. 14 indexed citations
8.
Simoncelli, Sabrina, Juliette Griffié, David J. Williamson, et al.. (2020). Multi-color Molecular Visualization of Signaling Proteins Reveals How C-Terminal Src Kinase Nanoclusters Regulate T Cell Receptor Activation. Cell Reports. 33(12). 108523–108523. 20 indexed citations
9.
Williamson, David J., Garth L. Burn, Sabrina Simoncelli, et al.. (2020). Machine learning for cluster analysis of localization microscopy data. Nature Communications. 11(1). 1493–1493. 63 indexed citations
10.
Griffié, Juliette, Ruby Peters, & Dylan M. Owen. (2020). An agent-based model of molecular aggregation at the cell membrane. PLoS ONE. 15(2). e0226825–e0226825. 10 indexed citations
11.
Smith, Paul, et al.. (2019). On the interaction of hyaluronic acid with synovial fluid lipid membranes. Physical Chemistry Chemical Physics. 21(19). 9845–9857. 70 indexed citations
12.
Peters, Ruby, Juliette Griffié, David J. Williamson, et al.. (2018). Development of 2-colour and 3D SMLM data analysis methods for fibrous spatial point patterns. Journal of Physics D Applied Physics. 52(1). 14005–14005. 3 indexed citations
13.
Griffié, Juliette, Dylan M. Owen, Patrick Rubin‐Delanchy, & Garth L. Burn. (2017). Quantitative Analysis of Membrane Protein Clustering from Live-Cell, Single-Molecule Super-Resolution Microscopy Data. Biophysical Journal. 112(3). 144a–145a. 1 indexed citations
14.
Griffié, Juliette, David J. Williamson, Michael J. Shannon, et al.. (2017). 3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse. Scientific Reports. 7(1). 4077–4077. 21 indexed citations
15.
Gustafsson, Nils, S J Culley, George W. Ashdown, et al.. (2016). Fast live-cell conventional fluorophore nanoscopy with ImageJ through super-resolution radial fluctuations. Nature Communications. 7(1). 12471–12471. 436 indexed citations breakdown →
16.
Rollason, Ruth, et al.. (2013). CD317/Tetherin is an organiser of membrane microdomains. Journal of Cell Science. 126(Pt 7). 1553–64. 43 indexed citations
17.
Pereira, Cândida F., Jérémie Rossy, Dylan M. Owen, Johnson Mak, & Katharina Gaus. (2012). HIV taken by STORM: Super-resolution fluorescence microscopy of a viral infection. Virology Journal. 9(1). 84–84. 41 indexed citations
18.
Owen, Dylan M., Katharina Gaus, Anthony I. Magee, & Marek Cebecauer. (2010). Dynamic organization of lymphocyte plasma membrane: lessons from advanced imaging methods. Immunology. 131(1). 1–8. 24 indexed citations
19.
Oddos, Stéphane, Christopher Dunsby, Marco A. Purbhoo, et al.. (2008). High-Speed High-Resolution Imaging of Intercellular Immune Synapses Using Optical Tweezers. Biophysical Journal. 95(10). L66–L68. 58 indexed citations
20.
Lopes, Vanda S., José S. Ramalho, Dylan M. Owen, et al.. (2007). The Ternary Rab27a–Myrip–Myosin VIIa Complex Regulates Melanosome Motility in the Retinal Pigment Epithelium. Traffic. 8(5). 486–499. 77 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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