Clinton C. MacDonald

2.9k total citations
61 papers, 2.4k citations indexed

About

Clinton C. MacDonald is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Clinton C. MacDonald has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Surgery. Recurrent topics in Clinton C. MacDonald's work include RNA Research and Splicing (43 papers), RNA modifications and cancer (33 papers) and RNA and protein synthesis mechanisms (17 papers). Clinton C. MacDonald is often cited by papers focused on RNA Research and Splicing (43 papers), RNA modifications and cancer (33 papers) and RNA and protein synthesis mechanisms (17 papers). Clinton C. MacDonald collaborates with scholars based in United States, Canada and Australia. Clinton C. MacDonald's co-authors include Thomas Shenk, Jeffrey Wilusz, Brinda Dass, Y Takagaki, James L. Manley, K. Wyatt McMahon, Krikor Dikranian, David Holtzman, Debra Brody and Philip V. Bayly and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Clinton C. MacDonald

59 papers receiving 2.4k citations

Peers

Clinton C. MacDonald
François D. Boussin France
Carmen Sandoval-Espinosa United States
David J. Anderson United States
Keisuke Kuroda Japan
Yvonne J. K. Edwards United States
Sandra Jansen Germany
Satoru Takahashi Japan
Elaine Kenny Ireland
Sarah E. Lloyd United Kingdom
François D. Boussin France
Clinton C. MacDonald
Citations per year, relative to Clinton C. MacDonald Clinton C. MacDonald (= 1×) peers François D. Boussin

Countries citing papers authored by Clinton C. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Clinton C. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clinton C. MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Clinton C. MacDonald. A scholar is included among the top collaborators of Clinton C. MacDonald 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 Clinton C. MacDonald. Clinton C. MacDonald 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.
Bailoo, Jeremy D., Susan E. Bergeson, Igor Ponomarev, et al.. (2024). A bespoke water T–maze apparatus and protocol: an optimized, reliable, and repeatable method for screening learning, memory, and executive functioning in laboratory mice. Frontiers in Behavioral Neuroscience. 18. 1492327–1492327.
2.
MacDonald, Clinton C., et al.. (2023). Specialized Ribosomes in Health and Disease. International Journal of Molecular Sciences. 24(7). 6334–6334. 26 indexed citations
3.
Grozdanov, Petar N., et al.. (2022). Electrostatic Interactions between CSTF2 and pre-mRNA Drive Cleavage and Polyadenylation. Biophysical Journal. 121(4). 607–619. 2 indexed citations
4.
Grozdanov, Petar N., Vera M. Kalscheuer, Thierry Bienvenu, et al.. (2020). A missense mutation in the CSTF2 gene that impairs the function of the RNA recognition motif and causes defects in 3′ end processing is associated with intellectual disability in humans. Nucleic Acids Research. 48(17). 9804–9821. 12 indexed citations
5.
Latham, Michael P., et al.. (2020). Study of Self-Association of Human CstF-64 RNA Recognition Motif. Biophysical Journal. 118(3). 520a–520a. 1 indexed citations
6.
Harris, Jaryse, Joseph M. Martinez, Petar N. Grozdanov, et al.. (2016). The Cstf2t Polyadenylation Gene Plays a Sex-Specific Role in Learning Behaviors in Mice. PLoS ONE. 11(11). e0165976–e0165976. 13 indexed citations
7.
8.
Grozdanov, Petar N. & Clinton C. MacDonald. (2015). Generation of Plasmid Vectors Expressing FLAG-tagged Proteins Under the Regulation of Human Elongation Factor-1α Promoter Using Gibson Assembly. Journal of Visualized Experiments. 5 indexed citations
9.
Youngblood, Bradford A., Petar N. Grozdanov, & Clinton C. MacDonald. (2014). CstF-64 supports pluripotency and regulates cell cycle progression in embryonic stem cells through histone 3′ end processing. Nucleic Acids Research. 42(13). 8330–8342. 18 indexed citations
10.
Grozdanov, Petar N. & Clinton C. MacDonald. (2014). High-Throughput Sequencing of RNA Isolated by Cross-Linking and Immunoprecipitation (HITS-CLIP) to Determine Sites of Binding of CstF-64 on Nascent RNAs. Methods in molecular biology. 1125. 187–208. 10 indexed citations
11.
MacDonald, Clinton C., et al.. (2009). The Hinge Domain of the Cleavage Stimulation Factor Protein CstF-64 Is Essential for CstF-77 Interaction, Nuclear Localization, and Polyadenylation. Journal of Biological Chemistry. 285(1). 695–704. 22 indexed citations
12.
MacDonald, Clinton C., Krikor Dikranian, Soo‐Chang Song, et al.. (2007). Detection of traumatic axonal injury with diffusion tensor imaging in a mouse model of traumatic brain injury. Experimental Neurology. 205(1). 116–131. 249 indexed citations
13.
Liu, Donglin, Brinda Dass, Lucie N. Hutchins, et al.. (2006). Systematic variation in mRNA 3′-processing signals during mouse spermatogenesis. Nucleic Acids Research. 35(1). 234–246. 109 indexed citations
14.
Wallace, A. Michelle, et al.. (2004). Developmental Distribution of the Polyadenylation Protein CstF-64 and the Variant τCstF-64 in Mouse and Rat Testis1. Biology of Reproduction. 70(4). 1080–1087. 26 indexed citations
15.
MacDonald, Clinton C. & K. Wyatt McMahon. (2003). The Flowers that Bloom in the Spring. Cell. 113(6). 671–672. 3 indexed citations
16.
MacDonald, Clinton C., et al.. (2002). Reexamining the polyadenylation signal: were we wrong about AAUAAA?. Molecular and Cellular Endocrinology. 190(1-2). 1–8. 75 indexed citations
17.
Dass, Brinda, K. Wyatt McMahon, Nancy A. Jenkins, et al.. (2001). The Gene for a Variant Form of the Polyadenylation Protein CstF-64 Is on Chromosome 19 and Is Expressed in Pachytene Spermatocytes in Mice. Journal of Biological Chemistry. 276(11). 8044–8050. 43 indexed citations
18.
MacDonald, Clinton C. & David L. Williams. (1993). RNase H/oligonucleotide-directed mRNA purification (ROMP) of apoll mRNA. Nucleic Acids Research. 21(3). 765–766. 5 indexed citations
19.
Niwa, Maho, Clinton C. MacDonald, & Susan M. Berget. (1992). Are vertebrate exons scanned during splice-site selection?. Nature. 360(6401). 277–280. 124 indexed citations
20.
Binder, Roberta, Clinton C. MacDonald, John B.E. Burch, Catherine B. Lazier, & David L. Williams. (1990). Expression of Endogenous and Transfected Apolipoprotein II and Vitellogenin II Genes in an Estrogen Responsive Chicken Liver Cell Line. Molecular Endocrinology. 4(2). 201–208. 42 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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2026