Audrey M. Michel

1.9k total citations
29 papers, 1.2k citations indexed

About

Audrey M. Michel is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Audrey M. Michel has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Audrey M. Michel's work include RNA and protein synthesis mechanisms (20 papers), RNA modifications and cancer (19 papers) and RNA Research and Splicing (12 papers). Audrey M. Michel is often cited by papers focused on RNA and protein synthesis mechanisms (20 papers), RNA modifications and cancer (19 papers) and RNA Research and Splicing (12 papers). Audrey M. Michel collaborates with scholars based in Ireland, United States and Russia. Audrey M. Michel's co-authors include Pavel V. Baranov, John F. Atkins, Andrew E. Firth, Patrick B. F. O’Connor, Stephen J. Kiniry, Ivaylo P. Ivanov, Dmitry E. Andreev, Nicholas T. Ingolia, Kingshuk Roy Choudhury and Desmond G. Higgins and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Audrey M. Michel

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Audrey M. Michel Ireland 19 1.1k 120 71 66 63 29 1.2k
Stefan J. Siira Australia 18 893 0.8× 89 0.7× 48 0.7× 53 0.8× 32 0.5× 29 989
Naomi R. Genuth United States 9 984 0.9× 89 0.7× 25 0.4× 94 1.4× 64 1.0× 12 1.1k
Ruth V. Spriggs United Kingdom 16 818 0.8× 183 1.5× 48 0.7× 30 0.5× 38 0.6× 29 987
Arnaud Hubstenberger France 12 1.1k 1.0× 87 0.7× 35 0.5× 46 0.7× 48 0.8× 17 1.2k
Sara W. Leung United States 16 640 0.6× 74 0.6× 51 0.7× 63 1.0× 40 0.6× 25 790
Marcella Simili Italy 16 547 0.5× 173 1.4× 72 1.0× 55 0.8× 44 0.7× 37 696
Miranda Kleijn Netherlands 15 597 0.6× 62 0.5× 54 0.8× 48 0.7× 88 1.4× 24 788
Abul Arif United States 18 1.1k 1.0× 141 1.2× 112 1.6× 63 1.0× 217 3.4× 28 1.4k
Laure Weill France 13 805 0.8× 52 0.4× 33 0.5× 69 1.0× 45 0.7× 19 973
Ritwick Sawarkar Germany 16 777 0.7× 56 0.5× 32 0.5× 72 1.1× 62 1.0× 29 920

Countries citing papers authored by Audrey M. Michel

Since Specialization
Citations

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

Fields of papers citing papers by Audrey M. Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey M. Michel

This figure shows the co-authorship network connecting the top 25 collaborators of Audrey M. Michel. A scholar is included among the top collaborators of Audrey M. Michel 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 Audrey M. Michel. Audrey M. Michel 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.
Román-Trufero, Mónica, Kevin Blighe, Paula Saavedra-García, et al.. (2025). An ISR-independent role of GCN2 prevents excessive ribosome biogenesis and mRNA translation. Life Science Alliance. 8(5). e202403014–e202403014.
2.
Michel, Audrey M., Yiyang Zhang, Emma R. Toner, et al.. (2025). A mobile intervention to reduce anxiety among university students, faculty, and staff: Mixed methods study on users’ experiences. PLOS Digital Health. 4(1). e0000601–e0000601.
3.
Tjeldnes, Håkon, Anmol Kiran, Stephen J. Kiniry, et al.. (2024). RiboSeq.Org: an integrated suite of resources for ribosome profiling data analysis and visualization. Nucleic Acids Research. 53(D1). D268–D274. 1 indexed citations
4.
Fedorova, Alla D., et al.. (2023). RiboGalaxy: A Galaxy-based Web Platform for Ribosome Profiling Data Processing – 2023 Update. Journal of Molecular Biology. 435(14). 168043–168043. 5 indexed citations
5.
Eshraghi, Mehdi, Pabalu P. Karunadharma, Juliana Blin, et al.. (2021). Mutant Huntingtin stalls ribosomes and represses protein synthesis in a cellular model of Huntington disease. Nature Communications. 12(1). 1461–1461. 73 indexed citations
6.
Loughran, Gary, Alexander V. Zhdanov, Sergey I. Kovalchuk, et al.. (2020). Unusually efficient CUG initiation of an overlapping reading frame in POLG mRNA yields novel protein POLGARF. Proceedings of the National Academy of Sciences. 117(40). 24936–24946. 26 indexed citations
7.
Michel, Audrey M., Dmitry E. Andreev, Lyudmila Shalamova, et al.. (2019). Cellular Gene Expression during Hepatitis C Virus Replication as Revealed by Ribosome Profiling. International Journal of Molecular Sciences. 20(6). 1321–1321. 16 indexed citations
8.
Kumari, Romika, Audrey M. Michel, & Pavel V. Baranov. (2018). PausePred and Rfeet: webtools for inferring ribosome pauses and visualizing footprint density from ribosome profiling data. RNA. 24(10). 1297–1304. 23 indexed citations
9.
Andreev, Dmitry E., Stephen J. Kiniry, Gary Loughran, et al.. (2018). TASEP modelling provides a parsimonious explanation for the ability of a single uORF to derepress translation during the integrated stress response. eLife. 7. 40 indexed citations
10.
Loughran, Gary, Alexander V. Zhdanov, Marco Mariotti, et al.. (2018). AMD1 mRNA employs ribosome stalling as a mechanism for molecular memory formation. Nature. 553(7688). 356–360. 51 indexed citations
11.
Haskett, Scott, Hema Aluri, Claire L. Kublin, et al.. (2017). RNA-Seq and CyTOF immuno-profiling of regenerating lacrimal glands identifies a novel subset of cells expressing muscle-related proteins. PLoS ONE. 12(6). e0179385–e0179385. 17 indexed citations
12.
Karim, Md Rezaul, et al.. (2017). Improving data workflow systems with cloud services and use of open data for bioinformatics research. Briefings in Bioinformatics. 19(5). 1035–1050. 11 indexed citations
13.
Michel, Audrey M., et al.. (2017). GWIPS-viz: 2018 update. Nucleic Acids Research. 46(D1). D823–D830. 46 indexed citations
14.
Aluri, Hema, et al.. (2015). Delivery of human bone marrow-derived mesenchymal stem cells improves tear production in a mouse model of Sjögren’s Syndrome. 56(12). 3462–3462.
15.
Michel, Audrey M., et al.. (2015). GWIPS‐viz as a tool for exploring ribosome profiling evidence supporting the synthesis of alternative proteoforms. PROTEOMICS. 15(14). 2410–2416. 18 indexed citations
16.
Michel, Audrey M., Dmitry E. Andreev, & Pavel V. Baranov. (2014). Computational approach for calculating the probability of eukaryotic translation initiation from ribo-seq data that takes into account leaky scanning. BMC Bioinformatics. 15(1). 380–380. 46 indexed citations
17.
Michel, Audrey M., et al.. (2013). GWIPS-viz: development of a ribo-seq genome browser. Nucleic Acids Research. 42(D1). D859–D864. 186 indexed citations
18.
Michel, Audrey M. & Pavel V. Baranov. (2013). Ribosome profiling: a Hi‐Def monitor for protein synthesis at the genome‐wide scale. Wiley Interdisciplinary Reviews - RNA. 4(5). 473–490. 60 indexed citations
19.
Michel, Audrey M., Kingshuk Roy Choudhury, Andrew E. Firth, et al.. (2012). Observation of dually decoded regions of the human genome using ribosome profiling data. Genome Research. 22(11). 2219–2229. 145 indexed citations
20.
Ivanov, Ivaylo P., Andrew E. Firth, Audrey M. Michel, John F. Atkins, & Pavel V. Baranov. (2011). Identification of evolutionarily conserved non-AUG-initiated N-terminal extensions in human coding sequences. Nucleic Acids Research. 39(10). 4220–4234. 176 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stefan J. Siira Breakdown of academic impact, for papers by Naomi R. Genuth Breakdown of academic impact, for papers by Ruth V. Spriggs Breakdown of academic impact, for papers by Arnaud Hubstenberger Breakdown of academic impact, for papers by Sara W. Leung Breakdown of academic impact, for papers by Marcella Simili Breakdown of academic impact, for papers by Miranda Kleijn Breakdown of academic impact, for papers by Abul Arif Breakdown of academic impact, for papers by Laure Weill Breakdown of academic impact, for papers by Ritwick Sawarkar
Rankless by CCL
2026