Fraser D. Brown

1.2k total citations
9 papers, 1.1k citations indexed

About

Fraser D. Brown is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Fraser D. Brown has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Fraser D. Brown's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Cellular transport and secretion (5 papers) and Biomedical Research and Pathophysiology (2 papers). Fraser D. Brown is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Cellular transport and secretion (5 papers) and Biomedical Research and Pathophysiology (2 papers). Fraser D. Brown collaborates with scholars based in United Kingdom and United States. Fraser D. Brown's co-authors include Julie G. Donaldson, Tamás Balla, Andrew Rozelle, Helen L. Yin, Michael J.O. Wakelam, Péter Várnai, Akira Honda, Khalid M. Saqib, Neil T. Thompson and Joanna M. Clark and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Current Biology.

In The Last Decade

Fraser D. Brown

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fraser D. Brown United Kingdom 9 744 703 171 119 102 9 1.1k
Philippe Mâle United States 8 698 0.9× 707 1.0× 206 1.2× 97 0.8× 72 0.7× 8 1.1k
Lesley J. Page United States 14 837 1.1× 599 0.9× 188 1.1× 69 0.6× 107 1.0× 19 1.2k
Bianka L. Grosshans United States 7 838 1.1× 791 1.1× 147 0.9× 127 1.1× 59 0.6× 7 1.2k
Anne Lütcke Germany 10 1.1k 1.5× 1.3k 1.8× 304 1.8× 186 1.6× 120 1.2× 10 1.7k
Annette L. Boman United States 13 1.0k 1.4× 1.0k 1.4× 125 0.7× 274 2.3× 95 0.9× 16 1.4k
John J. Dumas United States 9 482 0.6× 418 0.6× 117 0.7× 81 0.7× 80 0.8× 11 906
Solange Monier France 20 971 1.3× 813 1.2× 159 0.9× 69 0.6× 69 0.7× 21 1.3k
Jennifer Navarre United States 10 938 1.3× 1.0k 1.4× 279 1.6× 94 0.8× 87 0.9× 10 1.5k
Paul L. Campbell United Kingdom 8 568 0.8× 423 0.6× 100 0.6× 84 0.7× 161 1.6× 10 878

Countries citing papers authored by Fraser D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Fraser D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fraser D. Brown. 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 Fraser D. Brown. The network helps show where Fraser D. Brown may publish in the future.

Co-authorship network of co-authors of Fraser D. Brown

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

All Works

9 of 9 papers shown
1.
Honda, Akira, et al.. (2007). Active Arf6 Recruits ARNO/Cytohesin GEFs to the PM by Binding Their PH Domains. Molecular Biology of the Cell. 18(6). 2244–2253. 175 indexed citations
2.
Brown, Fraser D., et al.. (2005). An Effector Domain Mutant of Arf6 Implicates Phospholipase D in Endosomal Membrane Recycling. Molecular Biology of the Cell. 17(1). 327–335. 71 indexed citations
3.
Foletta, Victoria C., Fraser D. Brown, & W. Scott Young. (2002). Cloning of rat ARHGAP4/C1, a RhoGAP family member expressed in the nervous system that colocalizes with the Golgi complex and microtubules. Molecular Brain Research. 107(1). 65–79. 35 indexed citations
4.
Brown, Fraser D., Andrew Rozelle, Helen L. Yin, Tamás Balla, & Julie G. Donaldson. (2001). Phosphatidylinositol 4,5-bisphosphate and Arf6-regulated membrane traffic. The Journal of Cell Biology. 154(5). 1007–1018. 367 indexed citations
5.
Jackson, Trevor, Fraser D. Brown, Zhongzhen Nie, et al.. (2000). Acaps Are Arf6 Gtpase-Activating Proteins That Function in the Cell Periphery. The Journal of Cell Biology. 151(3). 627–638. 160 indexed citations
6.
Brown, Fraser D., Nicola Thompson, Khalid M. Saqib, et al.. (1998). Phospholipase D1 localises to secretory granules and lysosomes and is plasma-membrane translocated on cellular stimulation. Current Biology. 8(14). 835–838. 175 indexed citations
7.
Wakelam, Michael J.O., Ashley Martin, Matthew N. Hodgkin, et al.. (1997). Role and regulation of phospholipase D activity in normal and cancer cells. Advances in Enzyme Regulation. 37. 29–34. 15 indexed citations
8.
Martin, A, et al.. (1997). Role and regulation of phospholipase D signalling. Biochemical Society Transactions. 25(4). 1157–1160. 16 indexed citations
9.
Martin, Ashley, Fraser D. Brown, Matthew N. Hodgkin, et al.. (1996). Activation of Phospholipase D and Phosphatidylinositol 4-Phosphate 5-Kinase in HL60 Membranes Is Mediated by Endogenous Arf but Not Rho. Journal of Biological Chemistry. 271(29). 17397–17403. 39 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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