Simon Collier

1.2k total citations
23 papers, 925 citations indexed

About

Simon Collier is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Simon Collier has authored 23 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Simon Collier's work include Developmental Biology and Gene Regulation (6 papers), Sexual Differentiation and Disorders (5 papers) and Neurobiology and Insect Physiology Research (5 papers). Simon Collier is often cited by papers focused on Developmental Biology and Gene Regulation (6 papers), Sexual Differentiation and Disorders (5 papers) and Neurobiology and Insect Physiology Research (5 papers). Simon Collier collaborates with scholars based in United Kingdom, United States and Australia. Simon Collier's co-authors include David Gubb, Paul N. Adler, Mayada Tassabehji, Tom Strachan, T Strachan, Jeannette Charlton, Woo Jin Park, Jae Hwan Goo, Jeiwook Chae and Maengjo Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Simon Collier

23 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Collier United Kingdom 13 731 298 222 101 89 23 925
Franziska F. Wiebel Germany 11 1.0k 1.4× 178 0.6× 151 0.7× 37 0.4× 164 1.8× 11 1.2k
Wu‐Lin Charng United States 14 590 0.8× 228 0.8× 130 0.6× 28 0.3× 140 1.6× 17 803
Glenn A. Friedrich United States 8 637 0.9× 143 0.5× 204 0.9× 40 0.4× 47 0.5× 8 817
Isabelle Fernandes France 17 653 0.9× 90 0.3× 248 1.1× 38 0.4× 134 1.5× 26 1.0k
Yao-Fu Chang United States 3 879 1.2× 63 0.2× 136 0.6× 119 1.2× 59 0.7× 3 1.1k
Günther Zehetner United Kingdom 14 1.0k 1.4× 55 0.2× 663 3.0× 148 1.5× 108 1.2× 17 1.3k
Rosemary Reinke United States 9 662 0.9× 185 0.6× 110 0.5× 40 0.4× 379 4.3× 9 913
Vincent Ossipow Switzerland 12 619 0.8× 56 0.2× 114 0.5× 109 1.1× 96 1.1× 14 993
Katarina Gell Sweden 6 453 0.6× 92 0.3× 130 0.6× 56 0.6× 81 0.9× 7 633
J. Kim de Riel United States 20 1.2k 1.6× 159 0.5× 155 0.7× 36 0.4× 429 4.8× 30 1.4k

Countries citing papers authored by Simon Collier

Since Specialization
Citations

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

Fields of papers citing papers by Simon Collier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Collier

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Collier. A scholar is included among the top collaborators of Simon Collier 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 Simon Collier. Simon Collier 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.
Maloney, Susan E., Xia Ge, Kwang‐Soo Kim, et al.. (2025). The gain-of-function UBE3AQ588E variant causes Angelman-like neurodevelopmental phenotypes in mice. Scientific Reports. 15(1). 9152–9152. 2 indexed citations
2.
Liu, Che, Zijing Chen, Junjie Luo, et al.. (2020). Rapid Release of Ca2+from Endoplasmic Reticulum Mediated by Na+/Ca2+Exchange. Journal of Neuroscience. 40(16). 3152–3164. 9 indexed citations
3.
Haider, Afreen, Yu‐Chen Wei, Koini Lim, et al.. (2018). PCYT1A Regulates Phosphatidylcholine Homeostasis from the Inner Nuclear Membrane in Response to Membrane Stored Curvature Elastic Stress. Developmental Cell. 45(4). 481–495.e8. 105 indexed citations
4.
Collier, Simon, et al.. (2014). The drosophila Chmp1 protein determines wing cell fate through regulation of epidermal growth factor receptor signaling. Developmental Dynamics. 243(8). 977–987. 13 indexed citations
5.
Neff, David, et al.. (2013). Insect Wing Membrane Topography Is Determined by the Dorsal Wing Epithelium. G3 Genes Genomes Genetics. 3(1). 5–8. 3 indexed citations
6.
Collier, Simon, et al.. (2011). Planar cell polarity and tissue design: Shaping the Drosophila wing membrane. Fly. 5(4). 316–321. 8 indexed citations
7.
Cox, Chris D., et al.. (2011). Two Frizzled Planar Cell Polarity Signals in the Drosophila Wing Are Differentially Organized by the Fat/Dachsous Pathway. PLoS Genetics. 7(2). e1001305–e1001305. 35 indexed citations
9.
Neff, David, et al.. (2009). Cell shape and epithelial patterning in the Drosophila embryonic epidermis. Fly. 3(3). 185–191. 7 indexed citations
10.
Collier, Simon, et al.. (2008). The Frizzled Planar Cell Polarity signaling pathway controls Drosophila wing topography. Developmental Biology. 317(1). 354–367. 31 indexed citations
11.
Collier, Simon, Haeryun Lee, Rosemary Burgess, & Paul N. Adler. (2005). The WD40 Repeat Protein Fritz Links Cytoskeletal Planar Polarity to Frizzled Subcellular Localization in the Drosophila Epidermis. Genetics. 169(4). 2035–2045. 45 indexed citations
12.
Collier, Simon, Ho Yin Edwin Chan, Takashi Toda, et al.. (2000). The DrosophilaembargoedGene Is Required for Larval Progression and Encodes the Functional Homolog of Schizosaccharomyces Crm1. Genetics. 155(4). 1799–1807. 30 indexed citations
13.
Chae, Jeiwook, Maengjo Kim, Jae Hwan Goo, et al.. (1999). The Drosophila tissue polarity gene starry night encodes a member of the protocadherin family. Development. 126(23). 5421–5429. 216 indexed citations
14.
Tassabehji, Mayada, Tom Strachan, Michael J. Anderson, et al.. (1994). Identification of a novel family of human endogenous retroviruses and characterization of one family member, HERV-K(C4), located in the complement C4 gene cluster. Nucleic Acids Research. 22(24). 5211–5217. 54 indexed citations
15.
Collier, Simon, Mayada Tassabehji, & Tom Strachan. (1993). A de novo pathological point mutation at the 21–hydroxylase locus: implications for gene conversion in the human genome. Nature Genetics. 3(3). 260–265. 66 indexed citations
16.
Strachan, T, May Tassabehji, Simon Collier, & P. J. Sinnott. (1993). MOLECULAR PATHOLOGY OF 21-HYDROXYLASE DEFICIENCY. Pediatric Research. 33. S3–S3. 1 indexed citations
17.
Collier, Simon, May Tassabehji, & T Strachan. (1992). A method for specific amplification and PCR sequencing of individual members of multigene families: application to the study of steroid 21-hydroxylase deficiency.. Genome Research. 1(3). 181–186. 8 indexed citations
18.
Benson, Fiona E., Simon Collier, & Robert G. Lloyd. (1991). Evidence of abortive recombination in ruv mutants of Escherichia coli K12. Molecular and General Genetics MGG. 225(2). 266–272. 60 indexed citations
19.
20.
Jones, B.E. & Simon Collier. (1984). Optical fibre sensors using wavelength modulation and simplified spectral analysis. Journal of Physics E Scientific Instruments. 17(12). 1240–1241. 5 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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