Milo S. Johnson

633 total citations
11 papers, 245 citations indexed

About

Milo S. Johnson is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Milo S. Johnson has authored 11 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Ecology. Recurrent topics in Milo S. Johnson's work include Evolution and Genetic Dynamics (6 papers), Genomics and Phylogenetic Studies (3 papers) and Bacteriophages and microbial interactions (2 papers). Milo S. Johnson is often cited by papers focused on Evolution and Genetic Dynamics (6 papers), Genomics and Phylogenetic Studies (3 papers) and Bacteriophages and microbial interactions (2 papers). Milo S. Johnson collaborates with scholars based in United States, Canada and France. Milo S. Johnson's co-authors include Michael M. Desai, Sergey Kryazhimskiy, Gautam Reddy, Sandeep Venkataram, Katherine R. Lawrence, Angela M. Phillips, Alief Moulana, Jeffrey Chang, Thierry Mora and Ivana Cvijović and has published in prestigious journals such as Science, PLoS ONE and Environmental Microbiology.

In The Last Decade

Milo S. Johnson

11 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milo S. Johnson United States 8 159 158 48 28 18 11 245
Artur Rego‐Costa United States 6 124 0.8× 116 0.7× 36 0.8× 10 0.4× 6 0.3× 7 199
Zachary R. Sailer United States 6 183 1.2× 156 1.0× 37 0.8× 5 0.2× 9 0.5× 10 253
Oana Carja United States 9 145 0.9× 124 0.8× 57 1.2× 13 0.5× 25 1.4× 16 270
Atish Agarwala United States 5 159 1.0× 181 1.1× 72 1.5× 25 0.9× 25 1.4× 5 276
Lucas Hérissant United States 6 254 1.6× 128 0.8× 29 0.6× 8 0.3× 7 0.4× 7 297
Peter L. Conlin United States 8 60 0.4× 92 0.6× 90 1.9× 18 0.6× 19 1.1× 11 199
Anna Posfai United States 5 96 0.6× 100 0.6× 80 1.7× 33 1.2× 14 0.8× 7 190
Jaleal Sanjak United States 7 131 0.8× 146 0.9× 9 0.2× 11 0.4× 5 0.3× 12 368
Emanuele Leoncini United States 5 187 1.2× 109 0.7× 14 0.3× 42 1.5× 2 0.1× 5 262
Kristina Crona United States 7 76 0.5× 170 1.1× 88 1.8× 4 0.1× 48 2.7× 9 218

Countries citing papers authored by Milo S. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Milo S. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milo S. Johnson. 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 Milo S. Johnson. The network helps show where Milo S. Johnson may publish in the future.

Co-authorship network of co-authors of Milo S. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Milo S. Johnson. A scholar is included among the top collaborators of Milo S. Johnson 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 Milo S. Johnson. Milo S. Johnson 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.
Johnson, Milo S., et al.. (2024). Environment-independent distribution of mutational effects emerges from microscopic epistasis. Science. 386(6717). 87–92. 9 indexed citations
2.
Johnson, Milo S., Sandeep Venkataram, & Sergey Kryazhimskiy. (2023). Best Practices in Designing, Sequencing, and Identifying Random DNA Barcodes. Journal of Molecular Evolution. 91(3). 263–280. 22 indexed citations
3.
Johnson, Milo S., Gautam Reddy, & Michael M. Desai. (2023). Epistasis and evolution: recent advances and an outlook for prediction. BMC Biology. 21(1). 120–120. 38 indexed citations
4.
Johnson, Milo S., Lucas Hérissant, Parris T. Humphrey, et al.. (2023). Evolution of haploid and diploid populations reveals common, strong, and variable pleiotropic effects in non-home environments. eLife. 12. 4 indexed citations
5.
Hosmane, Nina N., et al.. (2022). Ten simple rules for designing and running a computing minor for bio/chem students. PLoS Computational Biology. 18(7). e1010202–e1010202. 1 indexed citations
6.
Johnson, Milo S. & Michael M. Desai. (2022). Mutational robustness changes during long-term adaptation in laboratory budding yeast populations. eLife. 11. 8 indexed citations
7.
Johnson, Milo S., Christopher W. Bakerlee, Parris T. Humphrey, et al.. (2021). Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations. eLife. 10. 52 indexed citations
8.
Phillips, Angela M., Katherine R. Lawrence, Alief Moulana, et al.. (2021). Binding affinity landscapes constrain the evolution of broadly neutralizing anti-influenza antibodies. eLife. 10. 35 indexed citations
9.
Johnson, Milo S., et al.. (2019). Higher-fitness yeast genotypes are less robust to deleterious mutations. Science. 366(6464). 490–493. 58 indexed citations
10.
Lossouarn, Julien, Camilla Nesbø, Olga Zhaxybayeva, et al.. (2015). ‘Ménage à trois’: a selfish genetic element uses a virus to propagate within T hermotogales. Environmental Microbiology. 17(9). 3278–3288. 15 indexed citations
11.
Zorz, Jackie, Andrew P. Joy, David A. Barnett, et al.. (2014). Quantitative and Functional Characterization of the Hyper-Conserved Protein of Prochlorococcus and Marine Synechococcus. PLoS ONE. 9(10). e109327–e109327. 3 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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