Michael J. Dagley

907 total citations
11 papers, 632 citations indexed

About

Michael J. Dagley is a scholar working on Molecular Biology, Epidemiology and Parasitology. According to data from OpenAlex, Michael J. Dagley has authored 11 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Parasitology. Recurrent topics in Michael J. Dagley's work include Parasitic Infections and Diagnostics (3 papers), Trypanosoma species research and implications (3 papers) and RNA modifications and cancer (2 papers). Michael J. Dagley is often cited by papers focused on Parasitic Infections and Diagnostics (3 papers), Trypanosoma species research and implications (3 papers) and RNA modifications and cancer (2 papers). Michael J. Dagley collaborates with scholars based in Australia, United States and Czechia. Michael J. Dagley's co-authors include Malcolm J. McConville, Trevor Lithgow, Eleanor Saunders, Sean O’Callaghan, Joachim Kloehn, Vladimir A. Likić, Pavel Doležal, Staffan G. Svärd, Robin B. Gasser and Showgy Y. Ma’ayeh and has published in prestigious journals such as Nature Communications, Bioinformatics and Molecular Microbiology.

In The Last Decade

Michael J. Dagley

11 papers receiving 630 citations

Peers

Michael J. Dagley
Michael J. Dagley
Citations per year, relative to Michael J. Dagley Michael J. Dagley (= 1×) peers Hosam Shams-Eldin

Countries citing papers authored by Michael J. Dagley

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Dagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Dagley

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

All Works

11 of 11 papers shown
1.
Quinn, Kylie M., Tabinda Hussain, Felix Kraus, et al.. (2020). Metabolic characteristics of CD8+ T cell subsets in young and aged individuals are not predictive of functionality. Nature Communications. 11(1). 2857–2857. 38 indexed citations
2.
Dagley, Michael J. & Malcolm J. McConville. (2018). DExSI: a new tool for the rapid quantitation of 13C-labelled metabolites detected by GC-MS. Bioinformatics. 34(11). 1957–1958. 33 indexed citations
3.
Ansell, Brendan R. E., Malcolm J. McConville, Showgy Y. Ma’ayeh, et al.. (2015). Drug resistance in Giardia duodenalis. Biotechnology Advances. 33(6). 888–901. 91 indexed citations
4.
Dagley, Michael J., Eleanor Saunders, Kaylene J. Simpson, & Malcolm J. McConville. (2015). High-Content Assay for Measuring Intracellular Growth of Leishmania in Human Macrophages. Assay and Drug Development Technologies. 13(7). 389–401. 21 indexed citations
5.
Verma‐Gaur, Jiyoti, Yue Qu, Paul F. Harrison, et al.. (2015). Integration of Posttranscriptional Gene Networks into Metabolic Adaptation and Biofilm Maturation in Candida albicans. PLoS Genetics. 11(10). e1005590–e1005590. 28 indexed citations
6.
Kloehn, Joachim, Eleanor Saunders, Sean O’Callaghan, Michael J. Dagley, & Malcolm J. McConville. (2015). Characterization of Metabolically Quiescent Leishmania Parasites in Murine Lesions Using Heavy Water Labeling. PLoS Pathogens. 11(2). e1004683–e1004683. 101 indexed citations
7.
Likić, Vladimir A., et al.. (2010). Using Hidden Markov Models to Discover New Protein Transport Machines. Methods in molecular biology. 619. 271–284. 25 indexed citations
8.
Dagley, Michael J., Ian E. Gentle, Traude H. Beilharz, et al.. (2010). Cell wall integrity is linked to mitochondria and phospholipid homeostasis in Candida albicans through the activity of the post‐transcriptional regulator Ccr4‐Pop2. Molecular Microbiology. 79(4). 968–989. 108 indexed citations
9.
Doležal, Pavel, Michael J. Dagley, Maya Kono, et al.. (2010). The Essentials of Protein Import in the Degenerate Mitochondrion of Entamoeba histolytica. PLoS Pathogens. 6(3). e1000812–e1000812. 59 indexed citations
10.
Dagley, Michael J., Pavel Doležal, Vladimir A. Likić, et al.. (2009). The Protein Import Channel in the Outer Mitosomal Membrane of Giardia intestinalis. Molecular Biology and Evolution. 26(9). 1941–1947. 45 indexed citations
11.
Pusnik, Mascha, Pascal Mäser, Ross F. Waller, et al.. (2008). The Single Mitochondrial Porin of Trypanosoma brucei is the Main Metabolite Transporter in the Outer Mitochondrial Membrane. Molecular Biology and Evolution. 26(3). 671–680. 83 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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