Stephen Royle

4.1k total citations · 1 hit paper
64 papers, 3.0k citations indexed

About

Stephen Royle is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephen Royle has authored 64 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 49 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephen Royle's work include Cellular transport and secretion (40 papers), Microtubule and mitosis dynamics (21 papers) and Lipid Membrane Structure and Behavior (18 papers). Stephen Royle is often cited by papers focused on Cellular transport and secretion (40 papers), Microtubule and mitosis dynamics (21 papers) and Lipid Membrane Structure and Behavior (18 papers). Stephen Royle collaborates with scholars based in United Kingdom, United States and Germany. Stephen Royle's co-authors include Leon Lagnado, Benjamin Odermatt, Björn Granseth, Ruth D. Murrell‐Lagnado, Fiona E. Hood, Anna K. Willox, Nicholas A. Bright, Ian A. Prior, Daniel G. Booth and Andrew B. Fielding and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Stephen Royle

61 papers receiving 3.0k citations

Hit Papers

Clathrin-Mediated Endocytosis Is the Dominant Mechanism o... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Royle United Kingdom 34 2.0k 1.8k 636 339 217 64 3.0k
Helena Sabanay Israel 28 2.0k 1.0× 1.2k 0.7× 876 1.4× 138 0.4× 257 1.2× 35 3.8k
A. Pejmun Haghighi United States 21 2.0k 1.0× 770 0.4× 1.5k 2.3× 366 1.1× 155 0.7× 33 3.0k
Federico Calegari Germany 35 3.3k 1.6× 801 0.5× 1.1k 1.7× 211 0.6× 175 0.8× 69 4.8k
Martin Bähler Germany 37 3.0k 1.4× 1.8k 1.1× 1.1k 1.7× 109 0.3× 263 1.2× 78 4.3k
Uri Ashery Israel 35 2.8k 1.4× 2.0k 1.1× 1.4k 2.2× 312 0.9× 475 2.2× 80 4.3k
Manojkumar A. Puthenveedu United States 30 2.5k 1.2× 1.4k 0.8× 985 1.5× 134 0.4× 255 1.2× 57 3.3k
Jan R.T. van Weering Netherlands 28 1.6k 0.8× 1.2k 0.7× 376 0.6× 203 0.6× 378 1.7× 56 2.4k
Beverly Wendland United States 41 4.0k 1.9× 3.4k 2.0× 864 1.4× 193 0.6× 491 2.3× 69 5.2k
Stefan Eimer Germany 32 1.8k 0.9× 988 0.6× 862 1.4× 120 0.4× 482 2.2× 51 3.2k
Corey L. Smith United States 23 2.5k 1.2× 657 0.4× 435 0.7× 82 0.2× 160 0.7× 36 3.1k

Countries citing papers authored by Stephen Royle

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Royle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Royle

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Royle. A scholar is included among the top collaborators of Stephen Royle 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 Stephen Royle. Stephen Royle 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.
Bray, Sarah J., Stephen Royle, Holly A. Shiels, & Daniel St Johnston. (2025). The Company of Biologists: celebrating 100 years. Biology Open. 14(1).
2.
Bray, Sarah J., Stephen Royle, Holly A. Shiels, & Daniel St Johnston. (2025). The Company of Biologists: celebrating 100 years. Journal of Cell Science. 138(1). 1 indexed citations
3.
Bray, Sarah J., Stephen Royle, Holly A. Shiels, & Daniel St Johnston. (2025). The Company of Biologists: celebrating 100 years. Disease Models & Mechanisms. 18(1). 2 indexed citations
4.
Bray, Sarah J., Stephen Royle, Holly A. Shiels, & Daniel St Johnston. (2025). The Company of Biologists: celebrating 100 years. Development. 152(1). 2 indexed citations
5.
Royle, Stephen, et al.. (2025). ATG9A vesicles are a subtype of intracellular nanovesicle. Journal of Cell Science. 138(7). 2 indexed citations
6.
Ferrándiz, Nuria, et al.. (2025). Nondisruptive inducible labeling of ER-membrane contact sites using the Lamin B receptor. PLoS Biology. 23(7). e3003249–e3003249. 1 indexed citations
7.
Ferrándiz, Nuria, et al.. (2022). Endomembranes promote chromosome missegregation by ensheathing misaligned chromosomes. The Journal of Cell Biology. 221(6). 17 indexed citations
8.
Smith, Sarah M., Kyle L. Morris, Alan M. Roseman, et al.. (2021). Multi‐modal adaptor‐clathrin contacts drive coated vesicle assembly. The EMBO Journal. 40(19). e108795–e108795. 10 indexed citations
9.
Caswell, Patrick T., et al.. (2021). Intracellular nanovesicles mediate α5β1 integrin trafficking during cell migration. The Journal of Cell Biology. 220(10). 8 indexed citations
10.
Ryan, Ellis L., et al.. (2020). Defining endogenous TACC3–chTOG–clathrin–GTSE1 interactions at the mitotic spindle using induced relocalization. Journal of Cell Science. 134(3). 12 indexed citations
11.
Royle, Stephen, et al.. (2019). Unintended perturbation of protein function using GFP nanobodies in human cells. Journal of Cell Science. 132(21). 14 indexed citations
12.
Burgess, Selena G., Sarah Sabir, Nimesh Joseph, et al.. (2018). Mitotic spindle association of TACC3 requires Aurora‐A‐dependent stabilization of a cryptic α‐helix. The EMBO Journal. 37(8). 43 indexed citations
13.
Beckett, Alison J., et al.. (2017). Microtubule organization within mitotic spindles revealed by serial block face scanning electron microscopy and image analysis. Journal of Cell Science. 130(10). 1845–1855. 34 indexed citations
14.
Gutiérrez‐Caballero, Cristina, Selena G. Burgess, Richard Bayliss, & Stephen Royle. (2015). TACC3–ch-TOG track the growing tips of microtubules independently of clathrin and Aurora-A phosphorylation. Biology Open. 4(2). 170–179. 34 indexed citations
15.
Willox, Anna K., et al.. (2014). Non-specificity of Pitstop 2 in clathrin-mediated endocytosis. Biology Open. 3(5). 326–331. 62 indexed citations
16.
Royle, Stephen. (2013). Protein adaptation: mitotic functions for membrane trafficking proteins. Nature Reviews Molecular Cell Biology. 14(9). 592–599. 28 indexed citations
17.
Qureshi, Omar, Satdip Kaur, Tie Zheng Hou, et al.. (2012). Constitutive Clathrin-mediated Endocytosis of CTLA-4 Persists during T Cell Activation. Journal of Biological Chemistry. 287(12). 9429–9440. 122 indexed citations
18.
Royle, Stephen & Leon Lagnado. (2010). Clathrin-Mediated Endocytosis at the Synaptic Terminal: Bridging the Gap Between Physiology and Molecules. Traffic. 11(12). 1489–1497. 45 indexed citations
19.
Lagnado, Leon, Stephen Royle, Benjamin Odermatt, & Björn Granseth. (2007). Clathrin-mediated endocytosis is the dominant mechanism of vesicle retrieval at hippocampal synapses. Proceedings of The Physiological Society. 1 indexed citations
20.
Royle, Stephen. (2006). The cellular functions of clathrin. Cellular and Molecular Life Sciences. 63(16). 1823–1832. 117 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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