Simon DOWLER

1.8k total citations
14 papers, 1.5k citations indexed

About

Simon DOWLER is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Simon DOWLER has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Simon DOWLER's work include Protein Kinase Regulation and GTPase Signaling (8 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cellular transport and secretion (3 papers). Simon DOWLER is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cellular transport and secretion (3 papers). Simon DOWLER collaborates with scholars based in United Kingdom, Spain and United States. Simon DOWLER's co-authors include Dario R. Alessi, Gursant Kular, A Currie, C. Peter Downes, Mária Deák, Cornelis J. Weijer, Daan M. F. van Aalten, Dirk Dormann, Nick Morrice and Doreen A. Cantrell and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Journal of Cell Science.

In The Last Decade

Simon DOWLER

14 papers receiving 1.5k 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 DOWLER United Kingdom 12 1.1k 773 195 119 113 14 1.5k
Jennifer M. Kavran United States 17 1.7k 1.5× 698 0.9× 148 0.8× 130 1.1× 125 1.1× 29 2.1k
Terry Copeland United States 15 1.9k 1.7× 518 0.7× 171 0.9× 75 0.6× 158 1.4× 19 2.5k
Clive S. D’Santos United Kingdom 25 1.7k 1.5× 614 0.8× 268 1.4× 107 0.9× 114 1.0× 47 2.2k
Felix Kappeler Switzerland 12 1.1k 1.0× 1.1k 1.4× 217 1.1× 245 2.1× 107 0.9× 12 1.7k
Michelle Pirruccello United States 14 1.4k 1.3× 908 1.2× 120 0.6× 201 1.7× 178 1.6× 17 1.9k
James D.R. Knight Canada 23 2.2k 1.9× 965 1.2× 153 0.8× 80 0.7× 73 0.6× 26 2.8k
Anne Crompton United States 8 1.5k 1.4× 871 1.1× 190 1.0× 75 0.6× 331 2.9× 9 2.0k
Takeshi Ijuin Japan 22 1.1k 1.0× 797 1.0× 110 0.6× 176 1.5× 98 0.9× 37 1.6k
James J. Hartman United States 17 1.1k 0.9× 879 1.1× 65 0.3× 105 0.9× 116 1.0× 28 1.8k
Orit Gutman Israel 18 1.1k 1.0× 395 0.5× 103 0.5× 108 0.9× 60 0.5× 27 1.3k

Countries citing papers authored by Simon DOWLER

Since Specialization
Citations

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

Fields of papers citing papers by Simon DOWLER

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon DOWLER

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

All Works

14 of 14 papers shown
1.
Todd, Daniel G., Simon DOWLER, Michael D. Wall, et al.. (2014). A Monoclonal Antibody TrkB Receptor Agonist as a Potential Therapeutic for Huntington’s Disease. PLoS ONE. 9(2). e87923–e87923. 70 indexed citations
2.
Southan, Andrew P., Simon DOWLER, Matthew Gardener, et al.. (2009). Using Inducible Expression Vector Technology To Create Stable Cell Lines Expressing KCNQ2/3, KCNQ4, And KCNQ3/5 Currents Suitable For Automated Electrophysiology Platforms. Biophysical Journal. 96(3). 177a–177a. 1 indexed citations
3.
Dormann, Dirk, et al.. (2004). In vivo analysis of 3-phosphoinositide dynamics during Dictyostelium phagocytosis and chemotaxis. Journal of Cell Science. 117(26). 6497–6509. 112 indexed citations
4.
DOWLER, Simon, Gursant Kular, & Dario R. Alessi. (2002). Protein Lipid Overlay Assay. Science Signaling. 2002(129). pl6–pl6. 21 indexed citations
5.
DOWLER, Simon, Gursant Kular, & Dario R. Alessi. (2002). Protein Lipid Overlay Assay. Science s STKE. 2002(129). pl6–pl6. 209 indexed citations
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DOWLER, Simon, A Currie, Mária Deák, et al.. (2000). Identification of pleckstrin-homology-domain-containing proteins with novel phosphoinositide-binding specificities. Biochemical Journal. 351(1). 19–19. 453 indexed citations
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DOWLER, Simon, et al.. (2000). Identification of pleckstrin-homology-domain-containing proteins with novel phosphoinositide-binding specificities. Biochemical Journal. 351(1). 19–31. 329 indexed citations
12.
DOWLER, Simon, A Currie, C. Peter Downes, & Dario R. Alessi. (1999). DAPP1: a dual adaptor for phosphotyrosine and 3-phosphoinositides. Biochemical Journal. 342(1). 7–7. 50 indexed citations
13.
DOWLER, Simon, A Currie, C. Peter Downes, & Dario R. Alessi. (1999). DAPP1: a dual adaptor for phosphotyrosine and 3-phosphoinositides. Biochemical Journal. 342(1). 7–12. 88 indexed citations
14.

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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