Catherine M. Abbott

3.3k total citations
96 papers, 2.4k citations indexed

About

Catherine M. Abbott is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Catherine M. Abbott has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 39 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Catherine M. Abbott's work include RNA and protein synthesis mechanisms (20 papers), Animal Genetics and Reproduction (18 papers) and Genomics and Chromatin Dynamics (13 papers). Catherine M. Abbott is often cited by papers focused on RNA and protein synthesis mechanisms (20 papers), Animal Genetics and Reproduction (18 papers) and Genomics and Chromatin Dynamics (13 papers). Catherine M. Abbott collaborates with scholars based in United Kingdom, United States and Australia. Catherine M. Abbott's co-authors include Josephine Peters, Helen J. Newbery, Sue Povey, Dinesh C. Soares, Ian J. Jackson, Alison Pilz, David Harrich, Ting Wei, Linda D. Siracusa and Dongsheng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Catherine M. Abbott

94 papers receiving 2.3k 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 M. Abbott United Kingdom 27 1.8k 577 264 208 172 96 2.4k
Periannan Senapathy United States 12 2.3k 1.3× 669 1.2× 213 0.8× 233 1.1× 267 1.6× 18 3.1k
Hidesato Ogawa Japan 18 2.1k 1.2× 765 1.3× 289 1.1× 141 0.7× 155 0.9× 38 2.7k
Michèle Sawadogo United States 22 1.5k 0.8× 427 0.7× 197 0.7× 116 0.6× 237 1.4× 31 2.7k
Toshio Maekawa Japan 21 2.0k 1.1× 481 0.8× 305 1.2× 134 0.6× 279 1.6× 40 2.5k
Sarah M. Smolik United States 18 2.1k 1.2× 478 0.8× 341 1.3× 200 1.0× 272 1.6× 23 2.6k
Mônica Beltrame Italy 25 2.1k 1.2× 367 0.6× 179 0.7× 188 0.9× 314 1.8× 48 2.8k
Peter Little United Kingdom 27 1.6k 0.9× 666 1.2× 176 0.7× 201 1.0× 77 0.4× 77 2.2k
Ramiro Ramírez‐Solis United Kingdom 23 2.4k 1.3× 1.1k 1.9× 285 1.1× 239 1.1× 213 1.2× 39 3.2k
Aengus Stewart United Kingdom 31 2.5k 1.4× 585 1.0× 268 1.0× 281 1.4× 253 1.5× 41 3.1k
Yoshinori Kohwi United States 27 2.4k 1.4× 621 1.1× 291 1.1× 122 0.6× 317 1.8× 42 2.9k

Countries citing papers authored by Catherine M. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Catherine M. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine M. Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine M. Abbott. A scholar is included among the top collaborators of Catherine M. Abbott 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 M. Abbott. Catherine M. Abbott 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.
Gonzalez‐Sulser, Alfredo, et al.. (2024). Face-valid phenotypes in a mouse model of the most common mutation in EEF1A2-related neurodevelopmental disorder. Disease Models & Mechanisms. 17(6).
2.
Gadd, Danni A., et al.. (2023). Endogenous epitope tagging of eEF1A2 in mice reveals early embryonic expression of eEF1A2 and subcellular compartmentalisation of neuronal eEF1A1 and eEF1A2. Molecular and Cellular Neuroscience. 126. 103879–103879. 7 indexed citations
3.
4.
Abbott, Catherine M., et al.. (2019). A Review of Barriers Women Face in Research Funding Processes in the UK. PsyArXiv (OSF Preprints). 7 indexed citations
5.
Doig, Jennifer, et al.. (2017). Biallelic mutations in the gene encoding eEF1A2 cause seizures and sudden death in F0 mice. Scientific Reports. 7(1). 46019–46019. 22 indexed citations
6.
Li, Dongsheng, Ting Wei, Daniel J. Rawle, et al.. (2015). Specific Interaction between eEF1A and HIV RT Is Critical for HIV-1 Reverse Transcription and a Potential Anti-HIV Target. PLoS Pathogens. 11(12). e1005289–e1005289. 15 indexed citations
7.
Newbery, Helen J., Irina Stancheva, Lyle B. Zimmerman, & Catherine M. Abbott. (2011). Evolutionary importance of translation elongation factor eEF1A variant switching: eEF1A1 down-regulation in muscle is conserved in Xenopus but is controlled at a post-transcriptional level. Biochemical and Biophysical Research Communications. 411(1). 19–24. 9 indexed citations
8.
Li, Zhaoyang, Chen‐Feng Qi, Dong‐Mi Shin, et al.. (2010). Eef1a2 Promotes Cell Growth, Inhibits Apoptosis and Activates JAK/STAT and AKT Signaling in Mouse Plasmacytomas. PLoS ONE. 5(5). e10755–e10755. 58 indexed citations
9.
10.
Newbery, Helen J., Thomas H. Gillingwater, Permphan Dharmasaroja, et al.. (2005). Progressive Loss of Motor Neuron Function in Wasted Mice: Effects of a Spontaneous Null Mutation in the Gene for the eEF1A2 Translation Factor. Journal of Neuropathology & Experimental Neurology. 64(4). 295–303. 42 indexed citations
11.
Jackson, Ian J. & Catherine M. Abbott. (2000). Mouse genetics and transgenics : a practical approach. Oxford University Press eBooks. 41 indexed citations
12.
13.
Siracusa, Linda D., Catherine M. Abbott, Judith L. Morgan, et al.. (1997). Mouse chromosome 2. Mammalian Genome. 7(S1). S28–S44. 10 indexed citations
14.
15.
Abbott, Catherine M., et al.. (1994). Linkage Mapping around the Ragged (Ra) and Wasted (wst) Loci on Distal Mouse Chromosome 2. Genomics. 20(1). 94–98. 16 indexed citations
16.
Abbott, Catherine M., et al.. (1994). Analysis of CAG trinucleotide repeats from mouse cDNA sequences. Annals of Human Genetics. 58(2). 87–94. 11 indexed citations
17.
Pilz, Alison, et al.. (1992). Comparative mapping of mouse Chromosome 4 and human Chromosome 9: Lv, Orm, and Hxb are closely linked on mouse Chromosome 4. Mammalian Genome. 3(5). 247–249. 10 indexed citations
18.
Abbott, Catherine M., et al.. (1992). The gene for proliferating cell nuclear antigen (Pcna) maps to mouse Chromosome 2. Mammalian Genome. 3(5). 286–289. 7 indexed citations
19.
Abbott, Catherine M., Giulia Piaggio, Rosario Ammendola, et al.. (1990). Mapping of the gene TCF2 coding for the transcription factor LFB3 to human chromosome 17 by polymerase chain reaction. Genomics. 8(1). 165–167. 11 indexed citations
20.
Jeremiah, S.J., Catherine M. Abbott, Sue Povey, et al.. (1990). The assignment of the genes coding for human complement components C6 and C7 to chromosome 5. Annals of Human Genetics. 54(2). 141–147. 14 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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