James J. Cheetham

892 total citations
23 papers, 655 citations indexed

About

James J. Cheetham is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, James J. Cheetham has authored 23 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in James J. Cheetham's work include Lipid Membrane Structure and Behavior (14 papers), RNA Interference and Gene Delivery (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). James J. Cheetham is often cited by papers focused on Lipid Membrane Structure and Behavior (14 papers), RNA Interference and Gene Delivery (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). James J. Cheetham collaborates with scholars based in Canada, United States and Italy. James J. Cheetham's co-authors include Richard M. Epand, Myron L. Smith, Paul Greengard, Ellen Wachtel, D. Bach, Ashkan Golshani, Thomas D. Flanagan, Sabine Hilfiker, Andrew J. Czernik and Fabio Benfenati and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical Journal.

In The Last Decade

James J. Cheetham

23 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Cheetham Canada 15 421 99 93 90 64 23 655
Luciano Pirone Italy 21 798 1.9× 94 0.9× 129 1.4× 30 0.3× 48 0.8× 70 1.2k
Mohammad S. Yousef United States 14 418 1.0× 57 0.6× 55 0.6× 38 0.4× 36 0.6× 32 707
Juan Manuel Domı́nguez Spain 16 556 1.3× 55 0.6× 43 0.5× 26 0.3× 148 2.3× 39 963
Gianvito Grasso Switzerland 20 485 1.2× 35 0.4× 68 0.7× 96 1.1× 48 0.8× 48 806
Alejandro Torrecillas Spain 19 600 1.4× 137 1.4× 76 0.8× 17 0.2× 58 0.9× 41 855
Ruo‐Xu Gu China 18 855 2.0× 78 0.8× 85 0.9× 37 0.4× 52 0.8× 36 1.1k
J. de Vlieg Netherlands 12 554 1.3× 24 0.2× 90 1.0× 39 0.4× 44 0.7× 19 915
Prasenjit Mondal India 17 370 0.9× 72 0.7× 42 0.5× 126 1.4× 145 2.3× 90 824
Rosemary S. Harrison Australia 9 449 1.1× 46 0.5× 28 0.3× 46 0.5× 120 1.9× 12 574
Hui‐Ming Yu Taiwan 19 474 1.1× 28 0.3× 26 0.3× 51 0.6× 97 1.5× 42 911

Countries citing papers authored by James J. Cheetham

Since Specialization
Citations

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

Fields of papers citing papers by James J. Cheetham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J. Cheetham

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Cheetham. A scholar is included among the top collaborators of James J. Cheetham 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 James J. Cheetham. James J. Cheetham 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.
McKay, Bruce C., et al.. (2019). Mode of action of nisin on Escherichia coli. Canadian Journal of Microbiology. 66(2). 161–168. 16 indexed citations
2.
Cheetham, James J., et al.. (2013). Alkamides from Echinacea disrupt the fungal cell wall-membrane complex. Phytomedicine. 21(4). 435–442. 23 indexed citations
3.
Goldstein, Rhys, et al.. (2008). Vesicle-synapsin interactions modeled with Cell-DEVS. Winter Simulation Conference. 813–821. 3 indexed citations
4.
Goldstein, Rhys, et al.. (2008). Vesicle-synapsin interactions modeled with Cell-DEVS. 2008 Winter Simulation Conference. 813–821. 6 indexed citations
5.
Cuccia, Louis A., et al.. (2004). Imaging the Selective Binding of Synapsin to Anionic Membrane Domains. ChemBioChem. 5(11). 1489–1494. 16 indexed citations
6.
Brown, David L., et al.. (2004). Cytoskeletal interactions of synapsin I in non-neuronal cells. Biochemical and Biophysical Research Communications. 317(1). 16–23. 8 indexed citations
7.
Cheetham, James J., et al.. (2003). Solving large FPT problems on coarse-grained parallel machines. Journal of Computer and System Sciences. 67(4). 691–706. 50 indexed citations
8.
Cheetham, James J., et al.. (2003). Interaction of synapsin I with membranes. Biochemical and Biophysical Research Communications. 309(4). 823–829. 14 indexed citations
9.
Cheetham, James J., Sabine Hilfiker, Fabio Benfenati, et al.. (2001). Identification of synapsin I peptides that insert into lipid membranes. Biochemical Journal. 354(1). 57–57. 49 indexed citations
10.
Buchanan, G. W., et al.. (2001). Membrane perturbing properties of sucrose polyesters. Chemistry and Physics of Lipids. 109(2). 185–202. 2 indexed citations
11.
Cheetham, James J., Sabine Hilfiker, Fabio Benfenati, et al.. (2001). Identification of synapsin I peptides that insert into lipid membranes. Biochemical Journal. 354(1). 57–66. 34 indexed citations
12.
Desdouits, Frédéric, James J. Cheetham, Hsieh‐Hong Huang, et al.. (1995). Mechanism of Inhibition of Protein Phosphatase 1 by DARPP-32: Studies with Recombinant DARPP-32 and Synthetic Peptides. Biochemical and Biophysical Research Communications. 206(2). 652–658. 53 indexed citations
13.
Cheetham, James J., et al.. (1995). Ganglioside GD1a generates domains of high curvature in phosphatidylethanolamine liposomes as determined by solid state 31P-NMR spectroscopy. Chemistry and Physics of Lipids. 76(1). 103–108. 19 indexed citations
14.
Cheetham, James J., Shlomo Nir, Emily Johnson-Barlow, Thomas D. Flanagan, & Richard M. Epand. (1994). The effects of membrane physical properties on the fusion of Sendai virus with human erythrocyte ghosts and liposomes. Analysis of kinetics and extent of fusion.. Journal of Biological Chemistry. 269(7). 5467–5472. 31 indexed citations
15.
Epand, Richard M., James J. Cheetham, Raquel F. Epand, et al.. (1992). Peptide models for the membrane destabilizing actions of viral fusion proteins. Biopolymers. 32(4). 309–314. 46 indexed citations
16.
Cheetham, James J., et al.. (1990). Interaction of calcium and cholesterol sulphate induces membrane destabilization and fusion: implications for the acrosome reaction. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1024(2). 367–372. 26 indexed citations
17.
Cheetham, James J., et al.. (1990). Cholesterol sulfate inhibits the fusion of Sendai virus to biological and model membranes.. Journal of Biological Chemistry. 265(21). 12404–12409. 43 indexed citations
18.
Cheetham, James J., Ellen Wachtel, D. Bach, & Richard M. Epand. (1989). Role of the stereochemistry of the hydroxyl group of cholesterol and the formation of nonbilayer structures in phosphatidylethanolamines. Biochemistry. 28(22). 8928–8934. 68 indexed citations
19.
Epand, Richard M., James J. Cheetham, & Karen Raymer. (1988). Acid-induced fusion of liposomes: studies with 2,3-seco-5α-cholestan-2,3-dioic acid. Biochimica et Biophysica Acta (BBA) - Biomembranes. 940(1). 85–92. 13 indexed citations
20.
Cheetham, James J. & Richard M. Epand. (1987). Comparison of the interaction of the anti-viral chemotherapeutic agents amantadine and tromantadine with model phospholipid membranes. Bioscience Reports. 7(3). 225–230. 14 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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