Milo S. Johnson
Impact in
-
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
-
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
Papers in
- Genetics 6
- Evolution and Genetic Dynamics 6
- Genetic diversity and population structure 2
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- CRISPR and Genetic Engineering 3
- Genomics and Phylogenetic Studies 3
- Photosynthetic Processes and Mechanisms 1
- Co-authors
- Michael M. Desai (6 shared papers)Sergey Kryazhimskiy (3 shared papers)Gautam Reddy (1 shared paper)Sandeep Venkataram (1 shared paper)Alief Moulana (2 shared papers)Katherine R. Lawrence (2 shared papers)Angela M. Phillips (2 shared papers)Jeffrey S. Chang (1 shared paper)
- Journals
- eLife (4 papers)Science (2 papers)Nature Biotechnology (1 paper)Environmental Microbiology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Milo S. Johnson
12 papers receiving 292 citations
Peers
Comparison fields: 5 of 52
- Genetics 176
- Molecular Biology 169
- Ecology 33
- Sociology and Political Science 52
- Aging 2
Countries citing papers authored by Milo S. Johnson
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
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-authors
The 25 scholars most cited alongside Milo S. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2021 | 60 | |
| 3 | 2023 | 46 | |
| 4 | 2021 | 43 | |
| 5 | 2023 | 27 | |
| 6 | 2015 | 19 | |
| 7 | 2022 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 5 | |
| 10 | 2014 | 3 | |
| 11 | 2026 | 2 | |
| 12 | 2022 | 1 |
About Milo S. Johnson
Milo S. Johnson is a scholar working on Genetics, Molecular Biology, Ecology, Microbiology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 294 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (2 papers), Bacteriophages and microbial interactions (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Genetics (176 citations), Molecular Biology (169 citations), Ecology (33 citations), Sociology and Political Science (52 citations) and Aging (2 citations). Milo S. Johnson has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Michael M. Desai, Sergey Kryazhimskiy, Gautam Reddy, Sandeep Venkataram, Alief Moulana, Katherine R. Lawrence, Angela M. Phillips, Jeffrey S. Chang, Ivana Cvijović and Parris T. Humphrey. Their work appears in journals such as eLife, Science, Nature Biotechnology, Environmental Microbiology and PLoS Computational Biology.
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.