Suzanne J. Norwood

1.4k total citations
17 papers, 1.0k citations indexed

About

Suzanne J. Norwood is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Suzanne J. Norwood has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cell Biology, 10 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Suzanne J. Norwood's work include Cellular transport and secretion (14 papers), Erythrocyte Function and Pathophysiology (4 papers) and Lipid Membrane Structure and Behavior (4 papers). Suzanne J. Norwood is often cited by papers focused on Cellular transport and secretion (14 papers), Erythrocyte Function and Pathophysiology (4 papers) and Lipid Membrane Structure and Behavior (4 papers). Suzanne J. Norwood collaborates with scholars based in Australia, United Kingdom and Nepal. Suzanne J. Norwood's co-authors include Brett M. Collins, Rohan D. Teasdale, Andrea Bugarčić, Rajesh Ghai, Zhe Yang, David J. Owen, Jordan Follett, Matthew Seaman, Mehdi Mobli and Nicholas Hamilton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Suzanne J. Norwood

17 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne J. Norwood Australia	14	607	598	227	166	111	17	1.0k
Alberto T. Gatta United Kingdom	10	832 1.4×	482 0.8×	126 0.6×	252 1.5×	121 1.1×	11	1.3k
Sharan Swarup United States	12	579 1.0×	439 0.7×	128 0.6×	91 0.5×	253 2.3×	15	977
Louise H. Wong United Kingdom	10	818 1.3×	458 0.8×	115 0.5×	237 1.4×	98 0.9×	11	1.2k
David C. Gershlick United Kingdom	17	479 0.8×	458 0.8×	93 0.4×	76 0.5×	81 0.7×	26	789
Monika Bug Germany	6	785 1.3×	593 1.0×	101 0.4×	167 1.0×	402 3.6×	6	1.2k
Steve Jean Canada	15	655 1.1×	462 0.8×	161 0.7×	38 0.2×	254 2.3×	32	1.1k
Emily M. Lynes Canada	10	861 1.4×	653 1.1×	130 0.6×	96 0.6×	332 3.0×	10	1.2k
Ilektra Kouranti France	9	849 1.4×	619 1.0×	96 0.4×	48 0.3×	76 0.7×	11	1.2k
Colin J. Traer United Kingdom	9	890 1.5×	903 1.5×	228 1.0×	38 0.2×	172 1.5×	9	1.4k
Sergey N. Zolov United States	14	693 1.1×	800 1.3×	209 0.9×	42 0.3×	173 1.6×	23	1.3k

Countries citing papers authored by Suzanne J. Norwood

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne J. Norwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne J. Norwood. 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 Suzanne J. Norwood. The network helps show where Suzanne J. Norwood may publish in the future.

Co-authorship network of co-authors of Suzanne J. Norwood

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Chandra, Mintu, Yanni K.‐Y. Chin, Caroline Mas, et al.. (2019). Classification of the human phox homology (PX) domains based on their phosphoinositide binding specificities. Nature Communications. 10(1). 1528–1528. 97 indexed citations

Hu, Shuhong, Zakir Tnimov, Andrew E. Whitten, et al.. (2017). The nature of the Syntaxin4 C-terminus affects Munc18c-supported SNARE assembly. PLoS ONE. 12(8). e0183366–e0183366. 7 indexed citations

Follett, Jordan, Andrea Bugarčić, Zhe Yang, et al.. (2016). Parkinson Disease-linked Vps35 R524W Mutation Impairs the Endosomal Association of Retromer and Induces α-Synuclein Aggregation. Journal of Biological Chemistry. 291(35). 18283–18298. 65 indexed citations

Kubala, Marta H., Suzanne J. Norwood, Guillermo A. Gómez, et al.. (2015). Mammalian farnesyltransferase α subunit regulates vacuolar protein sorting-associated protein 4A (Vps4A) – dependent intracellular trafficking through recycling endosomes. Biochemical and Biophysical Research Communications. 468(4). 580–586. 5 indexed citations

Clairfeuille, Thomas, et al.. (2015). Structure and Membrane Binding Properties of the Endosomal Tetratricopeptide Repeat (TPR) Domain-containing Sorting Nexins SNX20 and SNX21. Journal of Biological Chemistry. 290(23). 14504–14517. 17 indexed citations

Mas, Caroline, Suzanne J. Norwood, Andrea Bugarčić, et al.. (2014). Structural Basis for Different Phosphoinositide Specificities of the PX Domains of Sorting Nexins Regulating G-protein Signaling. Journal of Biological Chemistry. 289(41). 28554–28568. 38 indexed citations

Archbold, Julia K., et al.. (2014). Reconciling the regulatory role of Munc18 proteins in SNARE-complex assembly. IUCrJ. 1(6). 505–513. 14 indexed citations

Luo, Lin, Adam A. Wall, Nicholas D. Condon, et al.. (2014). Rab8a interacts directly with PI3Kγ to modulate TLR4-driven PI3K and mTOR signalling. Nature Communications. 5(1). 4407–4407. 109 indexed citations

Ghai, Rajesh, María Tello‐Lafoz, Suzanne J. Norwood, et al.. (2014). Phosphoinositide binding by the SNX27 FERM domain regulates localisation at the immune synapse of activated T-cells. Journal of Cell Science. 26 indexed citations

10.

Follett, Jordan, Suzanne J. Norwood, Nicholas Hamilton, et al.. (2013). The Vps35 D620N Mutation Linked to Parkinson's Disease Disrupts the Cargo Sorting Function of Retromer. Traffic. 15(2). 230–244. 176 indexed citations

11.

Ghai, Rajesh, Andrea Bugarčić, Huadong Liu, et al.. (2013). Structural basis for endosomal trafficking of diverse transmembrane cargos by PX-FERM proteins. Proceedings of the National Academy of Sciences. 110(8). E643–52. 102 indexed citations

12.

Norwood, Suzanne J., et al.. (2012). The juxtamembrane domain of the E-cadherin cytoplasmic tail contributes to its interaction with Myosin VI. Europe PMC (PubMed Central). 2(5). 185–188. 12 indexed citations

13.

Swarbrick, James, Sandeep Chhabra, Rajesh Ghai, et al.. (2011). VPS29 Is Not an Active Metallo-Phosphatase but Is a Rigid Scaffold Required for Retromer Interaction with Accessory Proteins. PLoS ONE. 6(5). e20420–e20420. 50 indexed citations

14.

Wu, Selwin K., Suzanne J. Norwood, Brett M. Collins, et al.. (2011). Hepatocyte Growth Factor Acutely Perturbs Actin Filament Anchorage at the Epithelial Zonula Adherens. Current Biology. 21(6). 503–507. 34 indexed citations

15.

Ghai, Rajesh, Mehdi Mobli, Suzanne J. Norwood, et al.. (2011). Phox homology band 4.1/ezrin/radixin/moesin-like proteins function as molecular scaffolds that interact with cargo receptors and Ras GTPases. Proceedings of the National Academy of Sciences. 108(19). 7763–7768. 95 indexed citations

16.

Norwood, Suzanne J., et al.. (2010). Assembly and Solution Structure of the Core Retromer Protein Complex. Traffic. 12(1). 56–71. 66 indexed citations

17.

Collins, Brett M., Suzanne J. Norwood, Markus C. Kerr, et al.. (2007). Structure of Vps26B and Mapping of its Interaction with the Retromer Protein Complex. Traffic. 9(3). 366–379. 97 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.

Explore authors with similar magnitude of impact