Brian McDonagh

2.2k total citations
80 papers, 1.7k citations indexed

About

Brian McDonagh is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Brian McDonagh has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 17 papers in Physiology and 13 papers in Cell Biology. Recurrent topics in Brian McDonagh's work include Redox biology and oxidative stress (30 papers), Muscle Physiology and Disorders (14 papers) and Adipose Tissue and Metabolism (11 papers). Brian McDonagh is often cited by papers focused on Redox biology and oxidative stress (30 papers), Muscle Physiology and Disorders (14 papers) and Adipose Tissue and Metabolism (11 papers). Brian McDonagh collaborates with scholars based in Ireland, United Kingdom and Spain. Brian McDonagh's co-authors include David Sheehan, José Antonio Bárcena, Raymond Tyther, Giorgos K. Sakellariou, Katarzyna Goljanek‐Whysall, Malcolm J. Jackson, C. Alicia Padilla, José Rafael Pedrajas, Neil Smith and Philip Brownridge and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Brian McDonagh

78 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian McDonagh 921 320 282 186 152 80 1.7k
Paola Arslan 852 0.9× 208 0.7× 225 0.8× 150 0.8× 117 0.8× 34 1.6k
Paolo Di Simplicio 1.1k 1.2× 431 1.3× 161 0.6× 326 1.8× 62 0.4× 77 2.4k
Michael W. Lamé 1.0k 1.1× 164 0.5× 286 1.0× 177 1.0× 35 0.2× 70 2.1k
Collin C. White 1.2k 1.3× 263 0.8× 386 1.4× 119 0.6× 34 0.2× 60 2.7k
C. O’Neill 345 0.4× 498 1.6× 133 0.5× 73 0.4× 111 0.7× 19 1.3k
Thomas Haarmann‐Stemmann 937 1.0× 259 0.8× 892 3.2× 136 0.7× 31 0.2× 68 2.8k
Rodrigo S. Fortunato 716 0.8× 451 1.4× 200 0.7× 190 1.0× 179 1.2× 89 2.3k
James P. Fabisiak 987 1.1× 248 0.8× 293 1.0× 115 0.6× 15 0.1× 66 2.1k
David Waddell 1.2k 1.3× 247 0.8× 101 0.4× 183 1.0× 109 0.7× 52 1.9k
Jérôme Ruzzin 471 0.5× 439 1.4× 442 1.6× 140 0.8× 44 0.3× 24 1.4k

Countries citing papers authored by Brian McDonagh

Since Specialization
Citations

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

Fields of papers citing papers by Brian McDonagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian McDonagh

This figure shows the co-authorship network connecting the top 25 collaborators of Brian McDonagh. A scholar is included among the top collaborators of Brian McDonagh 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 Brian McDonagh. Brian McDonagh 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.
Qin, Xia, Penglin Li, Antonio Miranda–Vizuete, et al.. (2025). Adaptive ER stress promotes mitochondrial remodelling and longevity through PERK-dependent MERCS assembly. Cell Death and Differentiation.
2.
Ismaeel, Ahmed, Bailey D. Peck, Xia Qin, et al.. (2025). microRNA-1 regulates metabolic flexibility by programming adult skeletal muscle pyruvate metabolism. Molecular Metabolism. 98. 102182–102182. 1 indexed citations
3.
Coyne, Sarah M., Bairbre McNicholas, Kevin S. O’Connell, et al.. (2023). The role of microRNAs in muscle wasting and recovery during critical illness: a systematic review. SHILAP Revista de lepidopterología. 6(2). 68–80. 1 indexed citations
4.
Goljanek‐Whysall, Katarzyna, et al.. (2020). miR‐181a regulates p62/SQSTM1, parkin, and protein DJ‐1 promoting mitochondrial dynamics in skeletal muscle aging. Aging Cell. 19(4). e13140–e13140. 64 indexed citations
5.
Pelt, Douglas W. Van, Yalda A. Kharaz, Dylan C. Sarver, et al.. (2020). Multiomics analysis of the mdx/mTR mouse model of Duchenne muscular dystrophy. Connective Tissue Research. 62(1). 24–39. 16 indexed citations
6.
McDonagh, Brian, et al.. (2020). Diaphragm weakness and proteomics (global and redox) modifications in heart failure with reduced ejection fraction in rats. Journal of Molecular and Cellular Cardiology. 139. 238–249. 8 indexed citations
7.
Peffers, Mandy J., et al.. (2019). Translational regulation contributes to the secretory response of chondrocytic cells following exposure to interleukin-1β. Journal of Biological Chemistry. 294(35). 13027–13039. 10 indexed citations
8.
Sakellariou, Giorgos K. & Brian McDonagh. (2018). Redox Homeostasis in Age-Related Muscle Atrophy. Advances in experimental medicine and biology. 1088. 281–306. 8 indexed citations
9.
Smith, Neil, et al.. (2018). Redox responses are preserved across muscle fibres with differential susceptibility to aging. Journal of Proteomics. 177. 112–123. 19 indexed citations
10.
Sakellariou, Giorgos K., Brian McDonagh, Helen Porter, et al.. (2017). Comparison of Whole Body SOD1 Knockout with Muscle-Specific SOD1 Knockout Mice Reveals a Role for Nerve Redox Signaling in Regulation of Degenerative Pathways in Skeletal Muscle. Antioxidants and Redox Signaling. 28(4). 275–295. 43 indexed citations
11.
McDonagh, Brian. (2017). Detection of ROS Induced Proteomic Signatures by Mass Spectrometry. Frontiers in Physiology. 8. 470–470. 36 indexed citations
12.
13.
McDonagh, Brian, et al.. (2016). Ribosome profiling: Providing a snapshot of active protein translation by chondrocytic cells in response to interleukin-1β stimulation. Osteoarthritis and Cartilage. 24. S42–S42. 1 indexed citations
14.
Pedrajas, José Rafael, Brian McDonagh, Francisco Hernández‐Torres, et al.. (2015). Glutathione Is the Resolving Thiol for Thioredoxin Peroxidase Activity of 1-Cys Peroxiredoxin Without Being Consumed During the Catalytic Cycle. Antioxidants and Redox Signaling. 24(3). 115–128. 37 indexed citations
15.
McDonagh, Brian. (2012). Diagonal Electrophoresis for the Detection of Protein Disulfides. Methods in molecular biology. 869. 309–315. 10 indexed citations
16.
McDonagh, Brian, et al.. (2010). Application of iTRAQ reagent to relatively quantify the reversible redox state of cysteines. Universidad de Córdoba Insitutional Repository (Universidad de Córdoba). 93–93.
17.
McDonagh, Brian, et al.. (2010). Ubiquitination and carbonylation of proteins in the clam Ruditapes decussatus, exposed to nonylphenol using redox proteomics. Chemosphere. 81(10). 1212–1217. 15 indexed citations
18.
Tedesco, Sara, et al.. (2009). Shotgun redox proteomics in sub-proteomes trapped on functionalised beads: Identification of proteins targeted by oxidative stress. Marine Environmental Research. 69. S25–S27. 10 indexed citations
19.
Sheehan, David, et al.. (2008). Oxidative stress and bivalves: a proteomic approach. SHILAP Revista de lepidopterología. 5(2). 110–123. 23 indexed citations
20.
McDonagh, Brian & David Sheehan. (2007). Effect of oxidative stress on protein thiols in the blue mussel Mytilus edulis: Proteomic identification of target proteins. PROTEOMICS. 7(18). 3395–3403. 54 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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