Catherine Spickler

598 total citations
8 papers, 391 citations indexed

About

Catherine Spickler is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Catherine Spickler has authored 8 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Catherine Spickler's work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Catherine Spickler is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Catherine Spickler collaborates with scholars based in Canada and Belgium. Catherine Spickler's co-authors include George A. Mackie, Normand Brisson, Stephen W. Michnick, Darrell Desveaux, Rajagopal Subramaniam, Marie‐Noëlle Brunelle, Léa Brakier‐Gingras, Julie Lippens, Jingzhong Guo and Annick Gauthier and has published in prestigious journals such as Nature Biotechnology, Journal of Molecular Biology and Journal of Bacteriology.

In The Last Decade

Catherine Spickler

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Spickler Canada 7 265 103 89 54 50 8 391
Lori J. Hansen United States 6 364 1.4× 56 0.5× 274 3.1× 72 1.3× 19 0.4× 7 495
María Inés Gismondi Argentina 11 134 0.5× 60 0.6× 34 0.4× 98 1.8× 19 0.4× 23 310
Lok Man J. Law Canada 10 126 0.5× 44 0.4× 50 0.6× 153 2.8× 38 0.8× 11 382
Anna Kurzyńska‐Kokorniak Poland 14 323 1.2× 31 0.3× 110 1.2× 30 0.6× 17 0.3× 28 429
C. Cheng Kao United States 9 126 0.5× 27 0.3× 137 1.5× 45 0.8× 66 1.3× 10 352
Pierre Melançon Canada 13 371 1.4× 142 1.4× 24 0.3× 56 1.0× 32 0.6× 17 461
Kenan Demir Türkiye 8 264 1.0× 129 1.3× 17 0.2× 28 0.5× 46 0.9× 11 350
Nikesh Patel United Kingdom 11 255 1.0× 35 0.3× 63 0.7× 111 2.1× 189 3.8× 14 428
Shelley K. Cockrell United States 11 138 0.5× 94 0.9× 97 1.1× 194 3.6× 40 0.8× 13 439
Thorsten Stellberger Germany 5 158 0.6× 50 0.5× 37 0.4× 34 0.6× 23 0.5× 14 230

Countries citing papers authored by Catherine Spickler

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Spickler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Spickler

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

All Works

8 of 8 papers shown
1.
Spickler, Catherine, Julie Lippens, Michel Garneau, et al.. (2013). Phosphatidylinositol 4-Kinase III Beta Is Essential for Replication of Human Rhinovirus and Its Inhibition Causes a Lethal Phenotype In Vivo. Antimicrobial Agents and Chemotherapy. 57(7). 3358–3368. 65 indexed citations
2.
Lagacé, Lisette, Peter W. White, Nathalie Dansereau, et al.. (2011). In Vitro Resistance Profile of the Hepatitis C Virus NS3 Protease Inhibitor BI 201335. Antimicrobial Agents and Chemotherapy. 56(1). 569–572. 41 indexed citations
3.
Kukolj, George, Nathalie Dansereau, Florence Dô, et al.. (2010). 758 CHARACTERIZATION OF RESISTANT MUTANTS SELECTED IN VITRO BY THE HCV NS3/4A PROTEASE INHIBITOR BI 201335. Journal of Hepatology. 52. S295–S295. 4 indexed citations
4.
Subramaniam, Rajagopal, Darrell Desveaux, Catherine Spickler, Stephen W. Michnick, & Normand Brisson. (2001). Direct visualization of protein interactions in plant cells. Nature Biotechnology. 19(8). 769–772. 102 indexed citations
5.
Spickler, Catherine, et al.. (2001). Preferential Cleavage of Degradative Intermediates of rpsT mRNA by the Escherichia coli RNA Degradosome. Journal of Bacteriology. 183(3). 1106–1109. 24 indexed citations
6.
Spickler, Catherine & George A. Mackie. (2000). Action of RNase II and Polynucleotide Phosphorylase against RNAs Containing Stem-Loops of Defined Structure. Journal of Bacteriology. 182(9). 2422–2427. 119 indexed citations
7.
Spickler, Catherine, Marie‐Noëlle Brunelle, & Léa Brakier‐Gingras. (1997). Streptomycin binds to the decoding center of 16 S ribosomal RNA 1 1Edited by M. Gottesman. Journal of Molecular Biology. 273(3). 586–599. 27 indexed citations
8.
Dragon, François, et al.. (1996). Mutations of Non-canonical Base-pairs in the 3′ Major Domain ofEscherichia coli16 S Ribosomal RNA Affect the Initiation and Elongation of Protein Synthesis. Journal of Molecular Biology. 259(2). 207–215. 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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