Cheryl McFarlane

807 total citations
19 papers, 680 citations indexed

About

Cheryl McFarlane is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Cheryl McFarlane has authored 19 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Cheryl McFarlane's work include Ubiquitin and proteasome pathways (7 papers), Cell Adhesion Molecules Research (6 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Cheryl McFarlane is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Cell Adhesion Molecules Research (6 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Cheryl McFarlane collaborates with scholars based in United Kingdom, United States and Ireland. Cheryl McFarlane's co-authors include Christopher J. Scott, James F. Burrows, Michelle de la Vega, Ureshnie Govender, Alyson A. Kelvin, James A. Johnston, Suzanne McFarlane, James A. Johnston, A Hill and David Waugh and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Cheryl McFarlane

19 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheryl McFarlane United Kingdom 14 460 246 132 128 102 19 680
Thomas W. Owens United Kingdom 14 542 1.2× 199 0.8× 93 0.7× 98 0.8× 97 1.0× 18 742
Shiro Kataoka Japan 13 480 1.0× 219 0.9× 77 0.6× 103 0.8× 183 1.8× 27 717
Kym L. Stanley Australia 9 588 1.3× 310 1.3× 146 1.1× 123 1.0× 107 1.0× 10 893
Venturina Stagni Italy 16 687 1.5× 289 1.2× 140 1.1× 127 1.0× 116 1.1× 26 863
Junhye Kwon South Korea 18 594 1.3× 274 1.1× 99 0.8× 205 1.6× 47 0.5× 31 854
Dawo Liu China 18 456 1.0× 132 0.5× 75 0.6× 174 1.4× 187 1.8× 30 665
Rolando Pérez‐Lorenzo United States 15 460 1.0× 196 0.8× 52 0.4× 165 1.3× 135 1.3× 24 667
Claudia Mueller Germany 10 284 0.6× 144 0.6× 130 1.0× 55 0.4× 57 0.6× 15 545
Murielle Glondu France 7 397 0.9× 173 0.7× 87 0.7× 304 2.4× 60 0.6× 8 705
Chuang Lu China 12 871 1.9× 276 1.1× 62 0.5× 207 1.6× 130 1.3× 16 1.0k

Countries citing papers authored by Cheryl McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheryl McFarlane

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

All Works

19 of 19 papers shown
1.
Zhang, Chun, Yuwang Liu, Min Wang, et al.. (2016). Abstract 404: Development of a RSPO3 CLIA-validated assay as a predictive biomarker for response to anti-RSPO3 antibody treatment in patients with solid tumors. Cancer Research. 76(14_Supplement). 404–404. 1 indexed citations
2.
McFarlane, Suzanne, Jonathan A. Coulter, Paul A. Tibbits, et al.. (2015). CD44 increases the efficiency of distant metastasis of breast cancer. Oncotarget. 6(13). 11465–11476. 88 indexed citations
3.
4.
Dib, Karim, Tomáš Perečko, Veronika Jenei, et al.. (2014). The histamine H4 receptor is a potent inhibitor of adhesion-dependent degranulation in human neutrophils. Journal of Leukocyte Biology. 96(3). 411–418. 17 indexed citations
5.
Jaworski, Jakub, Michelle de la Vega, Sarah J. Fletcher, et al.. (2014). USP17 is required for clathrin mediated endocytosis of epidermal growth factor receptor. Oncotarget. 5(16). 6964–6975. 13 indexed citations
6.
Jaworski, Jakub, Ureshnie Govender, Cheryl McFarlane, et al.. (2013). A novel RCE1 isoform is required for H-Ras plasma membrane localization and is regulated by USP17. Biochemical Journal. 457(2). 289–300. 14 indexed citations
7.
Harte, Mary T., Julia J. Gorski, Kienan I. Savage, et al.. (2013). NF-κB is a critical mediator of BRCA1-induced chemoresistance. Oncogene. 33(6). 713–723. 44 indexed citations
8.
Small, Donna M., Roberta E. Burden, Jakub Jaworski, et al.. (2013). Cathepsin S from both tumor and tumor‐associated cells promote cancer growth and neovascularization. International Journal of Cancer. 133(9). 2102–2112. 82 indexed citations
9.
McFarlane, Cheryl, Suzanne McFarlane, Ken Arthur, et al.. (2013). The deubiquitinating enzyme USP17 is associated with nonsmall cell lung cancer (NSCLC) recurrence and metastasis. Oncotarget. 4(10). 1836–1843. 39 indexed citations
10.
Vega, Michelle de la, Alyson A. Kelvin, Dara J. Dunican, et al.. (2011). The deubiquitinating enzyme USP17 is essential for GTPase subcellular localization and cell motility. Nature Communications. 2(1). 259–259. 52 indexed citations
11.
McFarlane, Cheryl, et al.. (2011). Exchange protein directly activated by cAMP 1 (Epac1) is expressed in human neutrophils and mediates cAMP-dependent activation of the monomeric GTPase Rap1. Journal of Leukocyte Biology. 90(4). 741–749. 13 indexed citations
12.
McFarlane, Cheryl, Alyson A. Kelvin, Michelle de la Vega, et al.. (2010). The Deubiquitinating Enzyme USP17 Is Highly Expressed in Tumor Biopsies, Is Cell Cycle Regulated, and Is Required for G1-S Progression. Cancer Research. 70(8). 3329–3339. 87 indexed citations
13.
Wijnstok, Nienke J., Jos W. R. Twisk, Ian Young, et al.. (2010). Inflammation Markers are Associated with Cardiovascular Diseases Risk in Adolescents: The Young Hearts Project 2000. Journal of Adolescent Health. 47(4). 346–351. 29 indexed citations
14.
Stevenson, Nigel J., Cheryl McFarlane, Seow Theng Ong, et al.. (2010). Suppressor of cytokine signalling (SOCS) 1 and 3 enhance cell adhesion and inhibit migration towards the chemokine eotaxin/CCL11. FEBS Letters. 584(21). 4469–4474. 12 indexed citations
15.
Vega, Michelle de la, James F. Burrows, Cheryl McFarlane, et al.. (2010). The Deubiquitinating Enzyme USP17 Blocks N-Ras Membrane Trafficking and Activation but Leaves K-Ras Unaffected. Journal of Biological Chemistry. 285(16). 12028–12036. 30 indexed citations
16.
Burrows, James F., Alyson A. Kelvin, Cheryl McFarlane, et al.. (2009). USP17 Regulates Ras Activation and Cell Proliferation by Blocking RCE1 Activity. Journal of Biological Chemistry. 284(14). 9587–9595. 70 indexed citations
17.
McFarlane, Cheryl, et al.. (2004). A rapid methodology for the isolation of intermediate-density lipoprotein: characterization of lipid composition and apoprotein content. Clinica Chimica Acta. 353(1-2). 117–125. 5 indexed citations
18.
Young, Ian, Cheryl McFarlane, & Jane McEneny. (2003). Oxidative modification of triacylglycerol-rich lipoproteins. Biochemical Society Transactions. 31(5). 1062–1065. 19 indexed citations
19.
Dean, Christopher, S. A. Eccles, M Valeri, et al.. (1993). Rat MAbs to the product of the c-erbB-2 proto-oncogene for diagnosis and therapy in breast cancer. Cell Biophysics. 22(1-3). 111–127. 11 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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