Michael T. Mee
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Ecology top 10%
- Microbial Community Ecology and Physiology
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
- Gut microbiota and health 1
- Gene Regulatory Network Analysis 1
- CRISPR and Genetic Engineering 1
- Ecology 3
- Microbial Community Ecology and Physiology 3
- Co-authors
- Harris H. Wang (4 shared papers)George M. Church (3 shared papers)James J. Collins (1 shared paper)Gleb Kuznetsov (1 shared paper)Christopher Gregg (1 shared paper)Julie E. Norville (1 shared paper)Barry Stoddard (1 shared paper)Ryo Takeuchi (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Molecular BioSystems (1 paper)Nature (1 paper)PLoS ONE (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Michael T. Mee
5 papers receiving 951 citations
Michael T. Mee's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 668
- Ecology 251
- Biotechnology 78
- Genetics 232
- Pollution 70
Countries citing papers authored by Michael T. Mee
This map shows the geographic impact of Michael T. Mee'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 T. Mee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Mee more than expected).
Fields of papers citing papers by Michael T. Mee
This network shows the impact of papers produced by Michael T. Mee. 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 T. Mee. The network helps show where Michael T. Mee may publish in the future.
Co-authors
The 11 scholars most cited alongside Michael T. Mee, 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 | Syntrophic exchange in synthetic microbial communities Hit paper breakdown → | 2014 | 471 |
| 2 | 2015 | 346 | |
| 3 | 2012 | 97 | |
| 4 | 2015 | 47 | |
| 5 | 2013 | 4 |
About Michael T. Mee
Michael T. Mee is a scholar working on Molecular Biology, Ecology, Genetics, Sociology and Political Science and Biophysics, having authored 5 papers that have together received 965 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Microbial Community Ecology and Physiology (3 papers), Evolution and Genetic Dynamics (2 papers), Gut microbiota and health (1 paper), Gene Regulatory Network Analysis (1 paper), CRISPR and Genetic Engineering (1 paper), Cell Image Analysis Techniques (1 paper) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Molecular Biology (668 citations), Ecology (251 citations), Biotechnology (78 citations), Genetics (232 citations) and Pollution (70 citations). Michael T. Mee has collaborated with scholars based in United States. Frequent co-authors include Harris H. Wang, George M. Church, James J. Collins, Gleb Kuznetsov, Christopher Gregg, Julie E. Norville, Barry Stoddard, Ryo Takeuchi, Daniel J. Mandell and Marc J. Lajoie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular BioSystems, Nature, PLoS ONE and Elsevier eBooks.
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.