Leslie C. Sutherland

2.2k total citations
36 papers, 1.2k citations indexed

About

Leslie C. Sutherland is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Leslie C. Sutherland has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Leslie C. Sutherland's work include RNA Research and Splicing (14 papers), RNA modifications and cancer (11 papers) and interferon and immune responses (5 papers). Leslie C. Sutherland is often cited by papers focused on RNA Research and Splicing (14 papers), RNA modifications and cancer (11 papers) and interferon and immune responses (5 papers). Leslie C. Sutherland collaborates with scholars based in Canada, United Kingdom and United States. Leslie C. Sutherland's co-authors include Nina D. Rintala‐Maki, Gwyn T. Williams, Karen Jardine, Ryan D. White, Michael A. Rudnicki, Benoît Leclair, Ke Wang, Mirna Mourtada‐Maarabouni, Andrew Robinson and Kazuo Fushimi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Leslie C. Sutherland

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leslie C. Sutherland Canada 21 1.0k 348 229 96 91 36 1.2k
Tomoki Muramatsu Japan 20 1.1k 1.1× 526 1.5× 277 1.2× 60 0.6× 100 1.1× 29 1.4k
Rebecca A. Fillmore United States 9 611 0.6× 300 0.9× 143 0.6× 62 0.6× 81 0.9× 14 814
Caroline Moyret‐Lalle France 14 915 0.9× 298 0.9× 341 1.5× 67 0.7× 77 0.8× 25 1.2k
William J. Faller Netherlands 15 1.1k 1.1× 728 2.1× 205 0.9× 74 0.8× 86 0.9× 30 1.4k
Pavlova Tv Russia 19 657 0.6× 287 0.8× 216 0.9× 79 0.8× 70 0.8× 47 947
Sylvie Thuault France 15 1.0k 1.0× 388 1.1× 421 1.8× 94 1.0× 70 0.8× 18 1.3k
Ari Ristimäki Finland 9 470 0.5× 229 0.7× 328 1.4× 116 1.2× 57 0.6× 13 780
Luca Zacchigna Italy 6 940 0.9× 233 0.7× 269 1.2× 86 0.9× 95 1.0× 6 1.1k
Susanne Oehler Austria 8 715 0.7× 230 0.7× 385 1.7× 64 0.7× 50 0.5× 10 1.0k
Ronan Chaligné United States 13 656 0.6× 340 1.0× 196 0.9× 153 1.6× 124 1.4× 28 963

Countries citing papers authored by Leslie C. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Leslie C. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie C. Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie C. Sutherland. A scholar is included among the top collaborators of Leslie C. Sutherland 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 Leslie C. Sutherland. Leslie C. Sutherland 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.
2.
Sutherland, Leslie C., P Thibault, Mathieu Durand, et al.. (2017). Splicing arrays reveal novel RBM10 targets, including SMN2 pre-mRNA. BMC Molecular Biology. 18(1). 19–19. 15 indexed citations
3.
Sutherland, Leslie C., et al.. (2017). RBM10 promotes transformation-associated processes in small cell lung cancer and is directly regulated by RBM5. PLoS ONE. 12(6). e0180258–e0180258. 28 indexed citations
4.
5.
Sutherland, Leslie C., et al.. (2016). RBM5 reduces small cell lung cancer growth, increases cisplatin sensitivity and regulates key transformation-associated pathways. Heliyon. 2(11). e00204–e00204. 13 indexed citations
6.
Tessier, Sarah, et al.. (2015). Post-transcriptional regulation of Rbm5 expression in undifferentiated H9c2 myoblasts. In Vitro Cellular & Developmental Biology - Animal. 52(3). 327–336. 4 indexed citations
7.
Sutherland, Leslie C., et al.. (2013). Assessment of Reference Genes for Real-Time Quantitative PCR Gene Expression Normalization During C2C12 and H9c2 Skeletal Muscle Differentiation. Molecular Biotechnology. 56(4). 329–339. 22 indexed citations
8.
Hong, Liang, Jie Zhang, Chen Shao, et al.. (2012). Differential Expression of RBM5, EGFR and KRAS mRNA and protein in non-small cell lung cancer tissues. Journal of Experimental & Clinical Cancer Research. 31(1). 36–36. 28 indexed citations
9.
Wang, Ke, et al.. (2012). RBM10 Modulates Apoptosis and Influences TNF-α Gene Expression. PubMed. 5. JCD.S9073–JCD.S9073. 30 indexed citations
10.
Sutherland, Leslie C., Ke Wang, & Andrew Robinson. (2010). RBM5 as a Putative Tumor Suppressor Gene for Lung Cancer. Journal of Thoracic Oncology. 5(3). 294–298. 67 indexed citations
11.
Kobayashi, Takahiko, Manabu Musashi, Shuichi Ota, et al.. (2010). p53 transactivation is involved in the antiproliferative activity of the putative tumor suppressor RBM5. International Journal of Cancer. 128(2). 304–318. 24 indexed citations
12.
Rintala‐Maki, Nina D. & Leslie C. Sutherland. (2009). Identification and characterisation of a novel antisense non-coding RNA from the RBM5 gene locus. Gene. 445(1-2). 7–16. 29 indexed citations
13.
Wang, Ke, et al.. (2007). RBM6-RBM5 transcription-induced chimeras are differentially expressed in tumours. BMC Genomics. 8(1). 348–348. 30 indexed citations
14.
Sutherland, Leslie C., et al.. (2004). RNA binding motif (RBM) proteins: A novel family of apoptosis modulators?. Journal of Cellular Biochemistry. 94(1). 5–24. 131 indexed citations
15.
Rintala‐Maki, Nina D. & Leslie C. Sutherland. (2004). LUCA-15/RBM5, a putative tumour suppressor, enhances multiple receptor-initiated death signals. APOPTOSIS. 9(4). 475–484. 42 indexed citations
16.
Mourtada‐Maarabouni, Mirna, Leslie C. Sutherland, Janet Meredith, & Gwyn T. Williams. (2003). Simultaneous acceleration of the cell cycle and suppression of apoptosis by splice variant delta‐6 of the candidate tumour suppressor LUCA‐15/RBM5. Genes to Cells. 8(2). 109–119. 41 indexed citations
17.
Sutherland, Leslie C., Sandra E. Edwards, Hazel C. Cable, et al.. (2000). LUCA-15-encoded sequence variants regulate CD95-mediated apoptosis. Oncogene. 19(33). 3774–3781. 49 indexed citations
18.
Sutherland, Leslie C., Claire Anderson, & Gwyn T. Williams. (2000). Zinc has no effect on IL-3-mediated apoptosis of BAF-3 cells but enhances CD95-mediated apoptosis of Jurkat cells. Journal of Immunological Methods. 234(1-2). 43–50. 9 indexed citations
19.
McBurney, Michael W., et al.. (1994). Intragenic regions of the murinePgk-1 locus enhance integration of transfected DNAs into genomes of embryonal carcinoma cells. Somatic Cell and Molecular Genetics. 20(6). 515–528. 28 indexed citations
20.
Sutherland, Leslie C., et al.. (1991). The mouse Pgk-1 gene promoter contains an upstream activator sequence. Nucleic Acids Research. 19(20). 5755–5761. 190 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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