Michael Charleston

5.0k total citations
95 papers, 3.4k citations indexed

About

Michael Charleston is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Michael Charleston has authored 95 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 33 papers in Genetics and 14 papers in Infectious Diseases. Recurrent topics in Michael Charleston's work include Genomics and Phylogenetic Studies (28 papers), Genetic diversity and population structure (16 papers) and Evolution and Paleontology Studies (10 papers). Michael Charleston is often cited by papers focused on Genomics and Phylogenetic Studies (28 papers), Genetic diversity and population structure (16 papers) and Evolution and Paleontology Studies (10 papers). Michael Charleston collaborates with scholars based in Australia, United Kingdom and United States. Michael Charleston's co-authors include Roderic Page, Edward C. Holmes, David L. Robertson, Oliver G. Pybus, Michael D. Hendy, Andrew Rambaut, Sunetra Gupta, Paul Harvey, David Penny and Beth Shapiro and has published in prestigious journals such as Science, Bioinformatics and PLoS ONE.

In The Last Decade

Michael Charleston

93 papers receiving 3.4k citations

Peers

Countries citing papers authored by Michael Charleston

Since Specialization

Citations

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

Fields of papers citing papers by Michael Charleston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Charleston

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Leveraging advances in machine learning for the robust classification and interpretation of networks 2025 ·Royal Society Open Science ·(unknown), Nicholas M. Fountain‐Jones, Michael Charleston	1
2	Ancient and Modern Genomes Reveal Microsatellites Maintain a Dynamic Equilibrium Through Deep Time 2024 ·Genome Biology and Evolution ·Bennet J. McComish, Michael Charleston, (unknown), Carlo Baroni, María Cristina Salvatore, Ruiqiang Li, Guojie Zhang, Craig D. Millar, Barbara R. Holland, David M. Lambert	2
3	Effect of molnupiravir on SARS-CoV-2 evolution in immunocompromised patients: a retrospective observational study 2024 ·The Lancet Microbe ·Nicholas M. Fountain‐Jones, (unknown), Jan Williamson, (unknown), (unknown), Michael Charleston, Louise Cooley	12
4	Methods of analysing patterns of multimorbidity using network analysis: a scoping review. 2022 ·Journal of Public Health ·(unknown), Fiona Cocker, Matthew Jose, Michael Charleston, Amanda L. Neil	10
5	A review of visualisations of protein fold networks and their relationship with sequence and function 2022 ·Biological reviews/Biological reviews of the Cambridge Philosophical Society ·(unknown), Barbara R. Holland, Michael Charleston	3
6	Performance of Akaike Information Criterion and Bayesian Information Criterion in Selecting Partition Models and Mixture Models 2022 ·Systematic Biology ·(unknown), Michael Charleston, Shane A. Richards, Barbara R. Holland	27
7	Hunting alters viral transmission and evolution in a large carnivore 2022 ·Nature Ecology & Evolution ·Nicholas M. Fountain‐Jones, Simona Kraberger, Roderick B. Gagne, Marie L. J. Gilbertson, Daryl R. Trumbo, Michael Charleston, Patricia E. Salerno, W. Chris Funk, Kevin R. Crooks, Kenneth A. Logan, Mathew W. Alldredge, Simon Dellicour, Guy Baele, Xavier Didelot, Sue VandeWoude, Scott Carver, Meggan E. Craft	7
8	MrIML: Multi‐response interpretable machine learning to model genomic landscapes 2021 ·Molecular Ecology Resources ·Nicholas M. Fountain‐Jones, Christopher P. Kozakiewicz, Brenna R. Forester, Erin L. Landguth, Scott Carver, Michael Charleston, Roderick B. Gagne, Brandon Greenwell, Simona Kraberger, Daryl R. Trumbo, Michael Mayer, Nicholas J. Clark, Gustavo Machado	8
9	Optimising predictive modelling of Ross River virus using meteorological variables 2021 ·PLoS neglected tropical diseases ·(unknown), Simon M. Firestone, SS Bettiol, Michael Charleston, Katherine B. Gibney, Peter J. Neville, Andrew Jardine, Scott Carver	5
10	Emerging phylogenetic structure of the SARS-CoV-2 pandemic 2020 ·Virus Evolution ·Nicholas M. Fountain‐Jones, (unknown), Scott Carver, Xavier Didelot, Erik Volz, Michael Charleston	17
11	Benchmarking Methods of Protein Structure Alignment 2020 ·Journal of Molecular Evolution ·(unknown), Barbara R. Holland, Michael Charleston	5
12	Bioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges 2020 ·IEEE Access ·(unknown), James Montgomery, Saurabh Garg, Michael Charleston	29
13	Methods of analysing patterns of multimorbidity using network analysis: a scoping review 2020 ·OSF Preprints (OSF Preprints) ·Michael Charleston, Amanda L. Neil, (unknown), Matthew Jose, Fiona Cocker	1
14	Active subnetwork recovery with a mechanism-dependent scoring function; with application to angiogenesis and organogenesis studies 2013 ·BMC Bioinformatics ·(unknown), Michael Charleston, Tibério S. Caetano, Jennifer R. Gamble, Mathew A. Vadas	5
15	A conceptual model for reflecting on expected learning vs. demonstrated student performance 2013 ·Australasian Computing Education Conference ·(unknown), Judy Kay, Raymond Lister, Norma P. Simon, Michael Charleston, James Harland, Donna Teague	7
16	Lability of Antiretroviral Drug Resistance Mutations - Correlates with Immunological and Virological Responses 2007 ·Current HIV Research ·(unknown), Albert Y. Zomaya, Michael Charleston, Hanan Salem, (unknown), Roger Garsia	2
17	Host Switch Leads to Emergence of Plasmodium vivax Malaria in Humans 2005 ·Molecular Biology and Evolution ·Jianbing Mu, Deirdre A. Joy, Junhui Duan, Yaming Huang, Jane M. Carlton, John C. Walker, John W. Barnwell, Peter Beerli, Michael Charleston, Oliver G. Pybus, Xin‐zhuan Su	155
18	Traversing the tangle: Algorithms and applications for cophylogenetic studies 2005 ·Journal of Biomedical Informatics ·Michael Charleston, Susan L. Perkins	52
19	Reconciled trees and incongruent gene and species trees 1997 ·Roderic Page, Michael Charleston	10
20	Hadamard conjugation: A versatile tool for modelling nucleotide sequence evolution 1993 ·New Zealand Journal of Botany ·Michael D. Hendy, Michael Charleston	14

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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