Euan C. Ramsay

668 total citations
9 papers, 552 citations indexed

About

Euan C. Ramsay is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Euan C. Ramsay has authored 9 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biomedical Engineering. Recurrent topics in Euan C. Ramsay's work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Cancer therapeutics and mechanisms (2 papers). Euan C. Ramsay is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Cancer therapeutics and mechanisms (2 papers). Euan C. Ramsay collaborates with scholars based in Canada, Australia and United Kingdom. Euan C. Ramsay's co-authors include Marcel B. Bally, Paul Tardi, Lawrence D. Mayer, Natashia Harasym, Troy O. Harasym, Andrew S. Janoff, Sharon A. Johnstone, Dawn Waterhouse, A.M. Thomas and Shell Ip and has published in prestigious journals such as Clinical Cancer Research, International Journal of Pharmaceutics and Molecular Cancer Therapeutics.

In The Last Decade

Euan C. Ramsay

9 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Euan C. Ramsay Canada 8 350 211 142 117 68 9 552
Natalia Zisman Canada 5 313 0.9× 234 1.1× 137 1.0× 113 1.0× 108 1.6× 9 547
Euan Ramsay Canada 15 543 1.6× 262 1.2× 162 1.1× 110 0.9× 38 0.6× 25 772
Fiona H. Tan Australia 11 302 0.9× 108 0.5× 77 0.5× 150 1.3× 46 0.7× 20 591
Annalisa Ferrero Italy 5 160 0.5× 173 0.8× 92 0.6× 67 0.6× 62 0.9× 5 359
Michael L. Manning United States 6 128 0.4× 115 0.5× 87 0.6× 79 0.7× 69 1.0× 7 333
Xing Q. Pan United States 11 293 0.8× 193 0.9× 87 0.6× 60 0.5× 38 0.6× 15 543
Derek Reichel United States 10 208 0.6× 180 0.9× 205 1.4× 86 0.7× 48 0.7× 18 508
Aviva C. Krauss United States 9 155 0.4× 113 0.5× 89 0.6× 118 1.0× 159 2.3× 20 442
Fangfang Wang China 12 284 0.8× 155 0.7× 221 1.6× 64 0.5× 144 2.1× 30 613

Countries citing papers authored by Euan C. Ramsay

Since Specialization
Citations

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

Fields of papers citing papers by Euan C. Ramsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Euan C. Ramsay. 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 Euan C. Ramsay. The network helps show where Euan C. Ramsay may publish in the future.

Co-authorship network of co-authors of Euan C. Ramsay

This figure shows the co-authorship network connecting the top 25 collaborators of Euan C. Ramsay. A scholar is included among the top collaborators of Euan C. Ramsay 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 Euan C. Ramsay. Euan C. Ramsay 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.
Webb, Cameron, Shell Ip, Viet Anh Nguyen Huu, et al.. (2022). Current Status and Future Perspectives on MRNA Drug Manufacturing. Molecular Pharmaceutics. 19(4). 1047–1058. 84 indexed citations
2.
Thomas, A.M., et al.. (2018). Microfluidic Production and Application of Lipid Nanoparticles for Nucleic Acid Transfection. Methods in molecular biology. 1792. 193–203. 13 indexed citations
3.
Walsh, Colin, Nathan M. Belliveau, Jens Huft, et al.. (2014). Microfluidic-Based Manufacture of siRNA-Lipid Nanoparticles for Therapeutic Applications. Methods in molecular biology. 1141. 109–120. 47 indexed citations
4.
Ramsay, Euan C., Malathi Anantha, Jason Zastre, et al.. (2008). Irinophore C: A Liposome Formulation of Irinotecan with Substantially Improved Therapeutic Efficacy against a Panel of Human Xenograft Tumors. Clinical Cancer Research. 14(4). 1208–1217. 33 indexed citations
5.
Dragowska, Wieslawa H., Maïté Verreault, Donald T. Yapp, et al.. (2007). Decreased levels of hypoxic cells in gefitinib treated ER+ HER-2 overexpressing MCF-7 breast cancer tumors are associated with hyperactivation of the mTOR pathway: therapeutic implications for combination therapy with rapamycin. Breast Cancer Research and Treatment. 106(3). 319–331. 15 indexed citations
6.
Mayer, Lawrence D., Troy O. Harasym, Paul Tardi, et al.. (2006). Ratiometric dosing of anticancer drug combinations: Controlling drug ratios after systemic administration regulates therapeutic activity in tumor-bearing mice. Molecular Cancer Therapeutics. 5(7). 1854–1863. 276 indexed citations
7.
Ramsay, Euan C., Dawn Waterhouse, Natashia Harasym, et al.. (2004). Liposomal Irinotecan. Clinical Cancer Research. 10(19). 6638–6649. 70 indexed citations
8.
Wong, Frances M. P., et al.. (2003). Phosphatidylethanolamine mediated destabilization of lipid-based pDNA delivery systems. International Journal of Pharmaceutics. 255(1-2). 117–127. 5 indexed citations
9.
Wong, Frances M. P., et al.. (2002). A Lipid-based Delivery System for Antisense Oligonucleotides Derived from a Hydrophobic Complex. Journal of drug targeting. 10(8). 615–623. 9 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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