Kenneth Garson

1.1k total citations
28 papers, 708 citations indexed

About

Kenneth Garson is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Kenneth Garson has authored 28 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Genetics and 8 papers in Reproductive Medicine. Recurrent topics in Kenneth Garson's work include Virus-based gene therapy research (11 papers), Ovarian cancer diagnosis and treatment (8 papers) and Renal and related cancers (5 papers). Kenneth Garson is often cited by papers focused on Virus-based gene therapy research (11 papers), Ovarian cancer diagnosis and treatment (8 papers) and Renal and related cancers (5 papers). Kenneth Garson collaborates with scholars based in Canada, China and United States. Kenneth Garson's co-authors include Barbara C. Vanderhyden, Yong Tang, Desheng Yao, Elizabeth A. Macdonald, Katherine V. Clark-Knowles, Jos Jonkers, John C. Bell, M. Fried, Paolo Colombo and Li Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Kenneth Garson

27 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth Garson Canada 17 386 209 203 160 128 28 708
A.-P.J. Huovila Finland 8 416 1.1× 98 0.5× 215 1.1× 105 0.7× 70 0.5× 8 899
Bolette Bjerregaard Denmark 14 412 1.1× 130 0.6× 37 0.2× 188 1.2× 59 0.5× 17 682
Liliane Meunier Canada 17 386 1.0× 53 0.3× 100 0.5× 229 1.4× 99 0.8× 29 760
S J Degen United States 9 350 0.9× 104 0.5× 35 0.2× 74 0.5× 174 1.4× 9 735
B Fagg Switzerland 15 319 0.8× 222 1.1× 34 0.2× 167 1.0× 44 0.3× 25 871
Sourindra Maiti United States 14 655 1.7× 384 1.8× 124 0.6× 456 2.9× 30 0.2× 16 1.2k
Sandra Silva-Arrieta United States 7 223 0.6× 147 0.7× 22 0.1× 168 1.1× 127 1.0× 8 459
Errin Lagow United States 7 210 0.5× 31 0.1× 53 0.3× 50 0.3× 26 0.2× 9 399
R. W. Brown Australia 10 436 1.1× 156 0.7× 62 0.3× 121 0.8× 63 0.5× 13 703
Florent Hubé France 19 976 2.5× 152 0.7× 20 0.1× 87 0.5× 571 4.5× 31 1.2k

Countries citing papers authored by Kenneth Garson

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Garson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Garson

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Garson. A scholar is included among the top collaborators of Kenneth Garson 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 Kenneth Garson. Kenneth Garson 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.
Rodriguez, Galaxia M., Elizabeth A. Macdonald, Mélanie Grondin, et al.. (2025). Specific Genetic Mutations Impact Chemotherapy Resistance and Therapeutic Efficacy of Oncolytic Viruses in Ovarian Cancer. Molecular Cancer Therapeutics. 24(10). 1626–1639.
2.
Rodriguez, Galaxia M., et al.. (2024). NLRC5 overexpression in ovarian tumors remodels the tumor microenvironment and increases T-cell reactivity toward autologous tumor-associated antigens. Frontiers in Immunology. 14. 1295208–1295208. 5 indexed citations
3.
Feng, Yan, Yong Tang, Yingzhao Liu, et al.. (2020). PAX2 promotes epithelial ovarian cancer progression involving fatty acid metabolic reprogramming. International Journal of Oncology. 56(3). 697–708. 16 indexed citations
4.
Hodgkinson, Kendra, et al.. (2018). GREB1 is an estrogen receptor-regulated tumour promoter that is frequently expressed in ovarian cancer. Oncogene. 37(44). 5873–5886. 55 indexed citations
5.
Abedini, Atefeh, et al.. (2017). PAX2 maintains the differentiation of mouse oviductal epithelium and inhibits the transition to a stem cell-like state. Oncotarget. 8(44). 76881–76897. 28 indexed citations
6.
Wang, Jiahu, Rozanne Arulanandam, Theresa Falls, et al.. (2016). Enhancing Expression of Functional Human Sodium Iodide Symporter and Somatostatin Receptor in Recombinant Oncolytic Vaccinia Virus for In Vivo Imaging of Tumors. Journal of Nuclear Medicine. 58(2). 221–227. 16 indexed citations
7.
Tang, Yong, et al.. (2015). Divergent Roles of PAX2 in the Etiology and Progression of Ovarian Cancer. Cancer Prevention Research. 8(12). 1163–1173. 21 indexed citations
8.
Tang, Yong, Kenneth Garson, Li Li, & Barbara C. Vanderhyden. (2014). Optimization of lentiviral vector production using polyethylenimine-mediated transfection. Oncology Letters. 9(1). 55–62. 44 indexed citations
9.
Garson, Kenneth & Barbara C. Vanderhyden. (2014). Epithelial ovarian cancer stem cells: underlying complexity of a simple paradigm. Reproduction. 149(2). R59–R70. 56 indexed citations
10.
McCloskey, Curtis W., Olga Collins, Elizabeth A. Macdonald, et al.. (2014). A New Spontaneously Transformed Syngeneic Model of High-Grade Serous Ovarian Cancer with a Tumor-Initiating Cell Population. Frontiers in Oncology. 4. 53–53. 46 indexed citations
11.
Garson, Kenneth, et al.. (2012). Technical challenges and limitations of current mouse models of ovarian cancer. Journal of Ovarian Research. 5(1). 39–39. 20 indexed citations
12.
Rintoul, Julia L., Jiahu Wang, Don B. Gammon, et al.. (2011). A Selectable and Excisable Marker System for the Rapid Creation of Recombinant Poxviruses. PLoS ONE. 6(9). e24643–e24643. 36 indexed citations
13.
Garson, Kenneth, et al.. (2010). 17β-Estradiol Accelerates Tumor Onset and Decreases Survival in a Transgenic Mouse Model of Ovarian Cancer. Endocrinology. 151(3). 929–938. 49 indexed citations
14.
Clark-Knowles, Katherine V., Kenneth Garson, Jos Jonkers, & Barbara C. Vanderhyden. (2006). Conditional inactivation of Brca1 in the mouse ovarian surface epithelium results in an increase in preneoplastic changes. Experimental Cell Research. 313(1). 133–145. 57 indexed citations
15.
Garson, Kenneth, et al.. (2005). Models of ovarian cancer—Are we there yet?. Molecular and Cellular Endocrinology. 239(1-2). 15–26. 53 indexed citations
16.
Garson, Kenneth, Elizabeth A. Macdonald, Manon Dubé, et al.. (2003). Generation of Tumors in Transgenic Mice Expressing the SV40 T Antigen Under the Control of Ovarian-Specific Promoter 1. Journal of the Society for Gynecologic Investigation. 10(4). 244–250. 21 indexed citations
17.
Hamilton, Thomas C., Denise C. Connolly, Alexander Yu. Nikitin, Kenneth Garson, & Barbara C. Vanderhyden. (2003). Translational research in ovarian cancer: a must. International Journal of Gynecological Cancer. 13(s2). 220–230. 8 indexed citations
18.
Bell, John C., et al.. (2002). Oncolytic Viruses: Programmable Tumour Hunters. Current Gene Therapy. 2(2). 243–254. 33 indexed citations
19.
Armour, Christine M., et al.. (1999). Cell-Cell Interaction Modulates myoD-Induced Skeletal Myogenesis of Pluripotent P19 Cells in Vitro. Experimental Cell Research. 251(1). 79–91. 25 indexed citations
20.
Garson, Kenneth, et al.. (1990). The N-terminal env-derived amino acids of v-rel are required for full transforming activity. Virology. 177(1). 106–115. 22 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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