Michael A. Cortázar

1.4k total citations
12 papers, 896 citations indexed

About

Michael A. Cortázar is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Michael A. Cortázar has authored 12 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Organic Chemistry. Recurrent topics in Michael A. Cortázar's work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (5 papers). Michael A. Cortázar is often cited by papers focused on RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (5 papers). Michael A. Cortázar collaborates with scholars based in United States, Greece and Colombia. Michael A. Cortázar's co-authors include David L. Bentley, Ryan M. Sheridan, Tassa Saldi, Nova Fong, Benjamin Erickson, Kristopher W. Brannan, Kira Glover-Cutter, Michael C. Dyle, Sujatha Jagannathan and Hyunmin Kim and has published in prestigious journals such as Genes & Development, Molecular Cell and Journal of Molecular Biology.

In The Last Decade

Michael A. Cortázar

11 papers receiving 895 citations

Peers

Michael A. Cortázar
Sowmya Iyer United States
Julie Stock United Kingdom
Nader Ezzeddine United States
Joanna L. Birch United Kingdom
Sowmya Iyer United States
Michael A. Cortázar
Citations per year, relative to Michael A. Cortázar Michael A. Cortázar (= 1×) peers Sowmya Iyer

Countries citing papers authored by Michael A. Cortázar

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Cortázar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Cortázar. 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 Michael A. Cortázar. The network helps show where Michael A. Cortázar may publish in the future.

Co-authorship network of co-authors of Michael A. Cortázar

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

All Works

12 of 12 papers shown
1.
Fu, Rui, Alexey Shuvalov, Amy E. Campbell, et al.. (2025). Systematic analysis of nonsense variants uncovers peptide release rate as a novel modifier of nonsense-mediated mRNA decay. Cell Genomics. 5(7). 100882–100882. 1 indexed citations
2.
Cortázar, Michael A. & Sujatha Jagannathan. (2024). SelectRepair Knockout: Efficient PTC-Free Gene Knockout Through Selectable Homology-Directed DNA Repair. Methods in molecular biology. 2863. 397–417.
3.
Campbell, Amy E., Michael C. Dyle, Tyler Matheny, et al.. (2023). Compromised nonsense-mediated RNA decay results in truncated RNA-binding protein production upon DUX4 expression. Cell Reports. 42(6). 112642–112642. 16 indexed citations
4.
Cortázar, Michael A., et al.. (2022). Xrn2 substrate mapping identifies torpedo loading sites and extensive premature termination of RNA pol II transcription. Genes & Development. 36(19-20). 1062–1078. 22 indexed citations
5.
Cortázar, Michael A., Ryan M. Sheridan, Benjamin Erickson, et al.. (2019). Control of RNA Pol II Speed by PNUTS-PP1 and Spt5 Dephosphorylation Facilitates Termination by a “Sitting Duck Torpedo” Mechanism. Molecular Cell. 76(6). 896–908.e4. 145 indexed citations
6.
Dyle, Michael C., et al.. (2019). How to get away with nonsense: Mechanisms and consequences of escape from nonsense‐mediated RNA decay. Wiley Interdisciplinary Reviews - RNA. 11(1). e1560–e1560. 71 indexed citations
7.
Erickson, Benjamin, Ryan M. Sheridan, Michael A. Cortázar, & David L. Bentley. (2018). Dynamic turnover of paused Pol II complexes at human promoters. Genes & Development. 32(17-18). 1215–1225. 58 indexed citations
8.
Fong, Nova, Tassa Saldi, Ryan M. Sheridan, Michael A. Cortázar, & David L. Bentley. (2017). RNA Pol II Dynamics Modulate Co-transcriptional Chromatin Modification, CTD Phosphorylation, and Transcriptional Direction. Molecular Cell. 66(4). 546–557.e3. 75 indexed citations
9.
Saldi, Tassa, Michael A. Cortázar, Ryan M. Sheridan, & David L. Bentley. (2016). Coupling of RNA Polymerase II Transcription Elongation with Pre-mRNA Splicing. Journal of Molecular Biology. 428(12). 2623–2635. 188 indexed citations
10.
Fong, Nova, Kristopher W. Brannan, Benjamin Erickson, et al.. (2015). Effects of Transcription Elongation Rate and Xrn2 Exonuclease Activity on RNA Polymerase II Termination Suggest Widespread Kinetic Competition. Molecular Cell. 60(2). 256–267. 161 indexed citations
11.
Klein, Brianna J., Lianhua Piao, Yuanxin Xi, et al.. (2014). The Histone-H3K4-Specific Demethylase KDM5B Binds to Its Substrate and Product through Distinct PHD Fingers. Cell Reports. 6(2). 325–335. 130 indexed citations
12.
Caldas, Yupanqui, Héctor Giral, Michael A. Cortázar, et al.. (2011). Liver X receptor-activating ligands modulate renal and intestinal sodium–phosphate transporters. Kidney International. 80(5). 535–544. 29 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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