Scott D. Findlay

906 total citations
15 papers, 362 citations indexed

About

Scott D. Findlay is a scholar working on Molecular Biology, Oncology and Sociology and Political Science. According to data from OpenAlex, Scott D. Findlay has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Sociology and Political Science. Recurrent topics in Scott D. Findlay's work include RNA modifications and cancer (5 papers), Cancer Cells and Metastasis (4 papers) and RNA Research and Splicing (4 papers). Scott D. Findlay is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer Cells and Metastasis (4 papers) and RNA Research and Splicing (4 papers). Scott D. Findlay collaborates with scholars based in Canada and United States. Scott D. Findlay's co-authors include Lynne‐Marie Postovit, Paul Thagard, Krista M. Vincent, David A. Hess, Daniela F. Quail, Jennifer R. Berman, Michael Jewer, Ge Zhang, Guihua Zhang and Logan A. Walsh and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Scott D. Findlay

15 papers receiving 353 citations

Peers

Scott D. Findlay
Richard Woodfield United Kingdom
Jeffrey Nicholas Fisk United States
Kyungjoon Lee United States
Kristin Yates United States
Abigail Anderson United States
Alexandra Miller United States
Richard Woodfield United Kingdom
Scott D. Findlay
Citations per year, relative to Scott D. Findlay Scott D. Findlay (= 1×) peers Richard Woodfield

Countries citing papers authored by Scott D. Findlay

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Findlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Findlay. 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 Scott D. Findlay. The network helps show where Scott D. Findlay may publish in the future.

Co-authorship network of co-authors of Scott D. Findlay

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

All Works

15 of 15 papers shown
1.
Findlay, Scott D., et al.. (2024). Regulatory features aid interpretation of 3′UTR variants. The American Journal of Human Genetics. 111(2). 350–363. 7 indexed citations
2.
Findlay, Scott D., et al.. (2024). Quantifying negative selection in human 3ʹ UTRs uncovers constrained targets of RNA-binding proteins. Nature Communications. 15(1). 85–85. 5 indexed citations
3.
Findlay, Scott D., et al.. (2022). CellTrace™ Violet Flow Cytometric Assay to Assess Cell Proliferation. Methods in molecular biology. 2508. 101–114. 4 indexed citations
4.
Pink, Desmond, et al.. (2022). Application of Surface-Enhanced Raman Spectroscopy to Guide Therapy for Advanced Prostate Cancer Patients. ACS Sensors. 7(3). 827–838. 10 indexed citations
5.
Vincent, Krista M., Scott D. Findlay, Daniel Choi, et al.. (2018). 61 Functional characterization of ribosomal RNA methyltransferase NSUN5 in glioblastoma. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 45(S3). S10–S11. 3 indexed citations
6.
Findlay, Scott D., Krista M. Vincent, Jennifer R. Berman, & Lynne‐Marie Postovit. (2016). A Digital PCR-Based Method for Efficient and Highly Specific Screening of Genome Edited Cells. PLoS ONE. 11(4). e0153901–e0153901. 51 indexed citations
7.
Vincent, Krista M., Scott D. Findlay, & Lynne‐Marie Postovit. (2015). Assessing breast cancer cell lines as tumour models by comparison of mRNA expression profiles. Breast Cancer Research. 17(1). 114–114. 53 indexed citations
9.
Quail, Daniela F., Ge Zhang, Scott D. Findlay, David A. Hess, & Lynne‐Marie Postovit. (2013). Nodal promotes invasive phenotypes via a mitogen-activated protein kinase-dependent pathway. Oncogene. 33(4). 461–473. 38 indexed citations
10.
Quail, Daniela F., Logan A. Walsh, Guihua Zhang, et al.. (2012). Embryonic Protein Nodal Promotes Breast Cancer Vascularization. Cancer Research. 72(15). 3851–3863. 34 indexed citations
11.
Jewer, Michael, Scott D. Findlay, & Lynne‐Marie Postovit. (2012). Post-transcriptional regulation in cancer progression. Journal of Cell Communication and Signaling. 6(4). 233–248. 29 indexed citations
12.
Findlay, Scott D. & Paul Thagard. (2012). How parts make up wholes. Frontiers in Physiology. 3. 455–455. 23 indexed citations
13.
Quail, Daniela F., Guihua Zhang, Logan A. Walsh, et al.. (2012). Embryonic Morphogen Nodal Promotes Breast Cancer Growth and Progression. PLoS ONE. 7(11). e48237–e48237. 35 indexed citations
14.
Findlay, Scott D. & Paul Thagard. (2011). Emotional Change in International Negotiation: Analyzing the Camp David Accords Using Cognitive-Affective Maps. Group Decision and Negotiation. 23(6). 1281–1300. 16 indexed citations
15.
Thagard, Paul & Scott D. Findlay. (2009). Getting to Darwin: Obstacles to Accepting Evolution by Natural Selection. Science & Education. 19(6-8). 625–636. 51 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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