Megan E. Garber
Impact in
-
- Microbial Metabolic Engineering and Bioproduction
- Plant biochemistry and biosynthesis
- CRISPR and Genetic Engineering
- Enzyme Catalysis and Immobilization
- Fungal and yeast genetics research
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
- Fungal and yeast genetics research 3
- CRISPR and Genetic Engineering 3
- Bacterial biofilms and quorum sensing 2
- RNA and protein synthesis mechanisms 1
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Aindrila Mukhopadhyay (9 shared papers)Jay D. Keasling (3 shared papers)Alfred Ayala (1 shared paper)Guillaume Monneret (1 shared paper)Chun‐Shiang Chung (1 shared paper)Xin Huang (1 shared paper)Fabienne Venet (1 shared paper)Nathan J. Hillson (3 shared papers)
- Journals
- Scientific Reports (1 paper)Journal of Leukocyte Biology (1 paper)Science Advances (1 paper)Molecular Microbiology (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesDenmarkSpain
In The Last Decade
Megan E. Garber
12 papers receiving 546 citations
Peers
Comparison fields: 5 of 78
- Critical Care and Intensive Care Medicine 27
- Molecular Biology 332
- Immunology 96
- Biotechnology 39
- Pharmacology 45
Countries citing papers authored by Megan E. Garber
This map shows the geographic impact of Megan E. Garber'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 Megan E. Garber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan E. Garber more than expected).
Fields of papers citing papers by Megan E. Garber
This network shows the impact of papers produced by Megan E. Garber. 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 Megan E. Garber. The network helps show where Megan E. Garber may publish in the future.
Co-authors
The 25 scholars most cited alongside Megan E. Garber, 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 | 2016 | 229 | |
| 2 | 2007 | 168 | |
| 3 | 2014 | 50 | |
| 4 | 2019 | 28 | |
| 5 | 2022 | 28 | |
| 6 | 2018 | 14 | |
| 7 | 2020 | 14 | |
| 8 | 2018 | 8 | |
| 9 | 2020 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Megan E. Garber
Megan E. Garber is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Nutrition and Dietetics and Plant Science, having authored 13 papers that have together received 551 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Bacterial Genetics and Biotechnology (4 papers), Fungal and yeast genetics research (3 papers), CRISPR and Genetic Engineering (3 papers), Bacterial biofilms and quorum sensing (2 papers), Trace Elements in Health (2 papers), Biofuel production and bioconversion (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (27 citations), Molecular Biology (332 citations), Immunology (96 citations), Biotechnology (39 citations) and Pharmacology (45 citations). Megan E. Garber has collaborated with scholars based in United States, Denmark and Spain. Frequent co-authors include Aindrila Mukhopadhyay, Jay D. Keasling, Alfred Ayala, Guillaume Monneret, Chun‐Shiang Chung, Xin Huang, Fabienne Venet, Nathan J. Hillson, Maren Wehrs and Daniel Sachs. Their work appears in journals such as Scientific Reports, Journal of Leukocyte Biology, Science Advances, Molecular Microbiology and ACS Synthetic 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.