Matthew Gallon

1.5k total citations · 1 hit paper
7 papers, 860 citations indexed

About

Matthew Gallon is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Matthew Gallon has authored 7 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Matthew Gallon's work include Cellular transport and secretion (6 papers), Retinal Development and Disorders (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Matthew Gallon is often cited by papers focused on Cellular transport and secretion (6 papers), Retinal Development and Disorders (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Matthew Gallon collaborates with scholars based in United Kingdom, Australia and Israel. Matthew Gallon's co-authors include Peter J. Cullen, Florian Steinberg, Kate J. Heesom, Elaine Thomas, Jeremy M. Tavaré, Mark Winfield, Brett M. Collins, Thomas Clairfeuille, Richard B. Sessions and Rajesh Ghai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Nature Cell Biology.

In The Last Decade

Matthew Gallon

7 papers receiving 857 citations

Hit Papers

A global analysis of SNX27–retromer assembly and cargo sp... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Gallon United Kingdom 7 567 562 163 119 87 7 860
Francisco Lázaro‐Diéguez Spain 16 524 0.9× 507 0.9× 97 0.6× 132 1.1× 105 1.2× 22 887
Marco C. Betist Netherlands 16 892 1.6× 439 0.8× 147 0.9× 113 0.9× 44 0.5× 22 1.2k
Andrea L. Marat Canada 9 491 0.9× 422 0.8× 84 0.5× 48 0.4× 110 1.3× 11 894
David C. Gershlick United Kingdom 17 479 0.8× 458 0.8× 93 0.6× 47 0.4× 81 0.9× 26 789
Sharan Swarup United States 12 579 1.0× 439 0.8× 128 0.8× 78 0.7× 253 2.9× 15 977
Bianka L. Grosshans United States 7 838 1.5× 791 1.4× 147 0.9× 108 0.9× 67 0.8× 7 1.2k
Susan Skuntz United States 12 724 1.3× 398 0.7× 135 0.8× 142 1.2× 66 0.8× 14 1.2k
Jacqueline Oakley United Kingdom 6 511 0.9× 583 1.0× 129 0.8× 70 0.6× 78 0.9× 7 801
Krysten J. Palmer United Kingdom 11 618 1.1× 800 1.4× 109 0.7× 53 0.4× 72 0.8× 11 1.0k
Rachel Rudge France 9 440 0.8× 524 0.9× 96 0.6× 159 1.3× 40 0.5× 9 661

Countries citing papers authored by Matthew Gallon

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gallon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Gallon

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Gallon. A scholar is included among the top collaborators of Matthew Gallon 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 Matthew Gallon. Matthew Gallon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Gallon, Matthew, et al.. (2018). Retromer associates with the cytoplasmic amino-terminus of polycystin-2. Journal of Cell Science. 131(11). 6 indexed citations
2.
McMillan, Kirsty J., Matthew Gallon, Thomas Clairfeuille, et al.. (2016). Atypical parkinsonism–associated retromer mutant alters endosomal sorting of specific cargo proteins. The Journal of Cell Biology. 214(4). 389–399. 33 indexed citations
3.
Danson, Chris M., Bassam Abu‐Libdeh, Matthew Gallon, et al.. (2015). A defect in the retromer accessory protein, SNX27, manifests by infantile myoclonic epilepsy and neurodegeneration. Neurogenetics. 16(3). 215–221. 38 indexed citations
4.
Gallon, Matthew & Peter J. Cullen. (2015). Retromer and sorting nexins in endosomal sorting. Biochemical Society Transactions. 43(1). 33–47. 168 indexed citations
5.
Gallon, Matthew, Thomas Clairfeuille, Florian Steinberg, et al.. (2014). A unique PDZ domain and arrestin-like fold interaction reveals mechanistic details of endocytic recycling by SNX27-retromer. Proceedings of the National Academy of Sciences. 111(35). E3604–13. 142 indexed citations
6.
McGough, Ian J., Florian Steinberg, Matthew Gallon, et al.. (2014). Identification of molecular heterogeneity in SNX27-retromer-mediated endosome-to-plasma membrane recycling. Journal of Cell Science. 127(Pt 22). 4940–53. 78 indexed citations
7.
Steinberg, Florian, Matthew Gallon, Mark Winfield, et al.. (2013). A global analysis of SNX27–retromer assembly and cargo specificity reveals a function in glucose and metal ion transport. Nature Cell Biology. 15(5). 461–471. 395 indexed citations breakdown →

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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