Michael J. McDonald

4.9k total citations · 3 hit papers
44 papers, 3.1k citations indexed

About

Michael J. McDonald is a scholar working on Genetics, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Michael J. McDonald has authored 44 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 13 papers in Sociology and Political Science and 12 papers in Molecular Biology. Recurrent topics in Michael J. McDonald's work include Evolution and Genetic Dynamics (26 papers), Evolutionary Game Theory and Cooperation (12 papers) and Plant and animal studies (7 papers). Michael J. McDonald is often cited by papers focused on Evolution and Genetic Dynamics (26 papers), Evolutionary Game Theory and Cooperation (12 papers) and Plant and animal studies (7 papers). Michael J. McDonald collaborates with scholars based in Australia, United States and Taiwan. Michael J. McDonald's co-authors include Michael Rosbash, Michael M. Desai, Philip M. Marden, David W. Smith, Daniel P. Rice, Richard E. Lenski, Benjamin H. Good, Jeffrey E. Barrick, Laura C. Woods and Jun‐Yi Leu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael J. McDonald

42 papers receiving 3.0k citations

Hit Papers

Microarray Analysis and Organizati... 1964 2026 1984 2005 2001 2017 1964 100 200 300 400

Peers

Michael J. McDonald
L Gilbert United States
Wen Huang United States
Justin C. Fay United States
Daniel Pomp United States
Robert E. Braun United States
Laurent Farinelli Switzerland
Immo A. Hansen United States
Peter L. Chang United States
William M. Muir United States
L Gilbert United States
Michael J. McDonald
Citations per year, relative to Michael J. McDonald Michael J. McDonald (= 1×) peers L Gilbert

Countries citing papers authored by Michael J. McDonald

Since Specialization
Citations

This map shows the geographic impact of Michael J. McDonald'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. McDonald 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. McDonald more than expected).

Fields of papers citing papers by Michael J. McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. McDonald. A scholar is included among the top collaborators of Michael J. McDonald 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. McDonald. Michael J. McDonald 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.
Good, Benjamin H., Ami S. Bhatt, & Michael J. McDonald. (2025). Unraveling the tempo and mode of horizontal gene transfer in bacteria. Trends in Microbiology. 33(8). 853–865. 6 indexed citations
2.
Danielewski, Jennifer, et al.. (2025). In vitro evolution provides insights into mechanisms of Mycoplasma genitalium resistance to moxifloxacin. Journal of Antimicrobial Chemotherapy. 80(11). 2970–2977.
3.
Blake, Christopher, et al.. (2025). Co‐Existence Slows Diversification in Experimental Populations of E. coli and P. fluorescens. Environmental Microbiology. 27(2). e70061–e70061.
4.
Blake, Christopher, et al.. (2024). Evolutionary shift of a tipping point can precipitate, or forestall, collapse in a microbial community. Nature Ecology & Evolution. 8(12). 2325–2335. 2 indexed citations
5.
Nguyen, An, Rebecca J. Gorrell, Terry Kwok, Tim Connallon, & Michael J. McDonald. (2024). Horizontal gene transfer facilitates the molecular reverse-evolution of antibiotic sensitivity in experimental populations of H. pylori. Nature Ecology & Evolution. 8(2). 315–324. 5 indexed citations
6.
Wilksch, Jonathan J., Jiahui Li, Yanan Wang, et al.. (2023). The evolutionary mechanism of non-carbapenemase carbapenem-resistant phenotypes in Klebsiella spp. eLife. 12. 9 indexed citations
7.
Woods, Laura C., et al.. (2022). Species interactions constrain adaptation and preserve ecological stability in an experimental microbial community. The ISME Journal. 16(5). 1442–1452. 46 indexed citations
8.
Nguyen, An, et al.. (2022). Recombination resolves the cost of horizontal gene transfer in experimental populations of Helicobacter pylori. Proceedings of the National Academy of Sciences. 119(12). e2119010119–e2119010119. 20 indexed citations
9.
Marshall, Dustin J., Martino E. Malerba, Thomas Lines, et al.. (2022). Long-term experimental evolution decouples size and production costs in Escherichia coli. Proceedings of the National Academy of Sciences. 119(21). e2200713119–e2200713119. 23 indexed citations
10.
Chin, Wai Hoe, Rebecca S. Bamert, Ruzeen Patwa, et al.. (2022). Bacteriophages evolve enhanced persistence to a mucosal surface. Proceedings of the National Academy of Sciences. 119(27). e2116197119–e2116197119. 30 indexed citations
11.
Sant, Duhita G., Laura C. Woods, Jeremy J. Barr, & Michael J. McDonald. (2021). Host diversity slows bacteriophage adaptation by selecting generalists over specialists. Nature Ecology & Evolution. 5(3). 350–359. 46 indexed citations
12.
Woods, Laura C., Rebecca J. Gorrell, F. Ë. Taylor, et al.. (2020). Horizontal gene transfer potentiates adaptation by reducing selective constraints on the spread of genetic variation. Proceedings of the National Academy of Sciences. 117(43). 26868–26875. 63 indexed citations
13.
Leu, Jun‐Yi, et al.. (2020). Sex alters molecular evolution in diploid experimental populations of S. cerevisiae. Nature Ecology & Evolution. 4(3). 453–460. 18 indexed citations
14.
Woods, Laura C., et al.. (2020). The evolution of coexistence from competition in experimental co-cultures of Escherichia coli and Saccharomyces cerevisiae. The ISME Journal. 15(3). 746–761. 31 indexed citations
15.
McDonald, Michael J.. (2019). Microbial Experimental Evolution – a proving ground for evolutionary theory and a tool for discovery. EMBO Reports. 20(8). e46992–e46992. 95 indexed citations
16.
Wannier, Timothy M., Aditya M. Kunjapur, Daniel P. Rice, et al.. (2018). Adaptive evolution of genomically recoded Escherichia coli. Proceedings of the National Academy of Sciences. 115(12). 3090–3095. 70 indexed citations
17.
Malerba, Martino E., et al.. (2018). Beneficial Mutations from Evolution Experiments Increase Rates of Growth and Fermentation. Journal of Molecular Evolution. 86(2). 111–117. 7 indexed citations
18.
McDonald, Michael J., Daniel P. Rice, & Michael M. Desai. (2016). Sex speeds adaptation by altering the dynamics of molecular evolution. Nature. 531(7593). 233–236. 223 indexed citations
19.
McDonald, Michael J., et al.. (2012). The Evolution of Low Mutation Rates in Experimental Mutator Populations of Saccharomyces cerevisiae. Current Biology. 22(13). 1235–1240. 40 indexed citations
20.
McDonald, Michael J., Michael Rosbash, & Patrick Emery. (2001). Wild-Type Circadian Rhythmicity Is Dependent on Closely Spaced E Boxes in the Drosophila timeless Promoter. Molecular and Cellular Biology. 21(4). 1207–1217. 72 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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