Kayla McCue

568 total citations
4 papers, 369 citations indexed

About

Kayla McCue is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Kayla McCue has authored 4 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Cancer Research and 0 papers in Infectious Diseases. Recurrent topics in Kayla McCue's work include RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (2 papers). Kayla McCue is often cited by papers focused on RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (2 papers). Kayla McCue collaborates with scholars based in United States. Kayla McCue's co-authors include Mitsuo Oshimura, Yaron E. Antebi, Michael B. Elowitz, Narumi Uno, John Yong, Lacramioara Bintu, Yasuhiro Kazuki, Christopher B. Burge, Karen Adelman and Telmo Henriques and has published in prestigious journals such as Science, Science Advances and Genome biology.

In The Last Decade

Kayla McCue

4 papers receiving 362 citations

Peers

Kayla McCue
Malcolm Cook United States
Ishminder K. Mann United States
Michael I. Robson United Kingdom
Dylan Mooijman Netherlands
Danuta M. Jeziorska United Kingdom
Peter F. Renz Switzerland
Nathan Boley United States
Malcolm Cook United States
Kayla McCue
Citations per year, relative to Kayla McCue Kayla McCue (= 1×) peers Malcolm Cook

Countries citing papers authored by Kayla McCue

Since Specialization
Citations

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

Fields of papers citing papers by Kayla McCue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayla McCue

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

All Works

4 of 4 papers shown
1.
McCue, Kayla & Christopher B. Burge. (2024). An interpretable model of pre-mRNA splicing for animal and plant genes. Science Advances. 10(19). eadn1547–eadn1547. 4 indexed citations
2.
Yang, Chenxi, Kayla McCue, Osbert Bastani, et al.. (2024). Improved modeling of RNA-binding protein motifs in an interpretable neural model of RNA splicing. Genome biology. 25(1). 23–23. 8 indexed citations
3.
Pai, Athma A., Telmo Henriques, Kayla McCue, et al.. (2017). The kinetics of pre-mRNA splicing in the Drosophila genome and the influence of gene architecture. eLife. 6. 52 indexed citations
4.
Bintu, Lacramioara, John Yong, Yaron E. Antebi, et al.. (2016). Dynamics of epigenetic regulation at the single-cell level. Science. 351(6274). 720–724. 305 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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