Ethan C. Garner
Impact in
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Machine Learning in Bioinformatics
- Structural Biology top 2%
Papers in
- Genetics 28
- Bacterial Genetics and Biotechnology 27
- Co-authors
- Zoran ObradovićPedro RomeroCeleste J. BrownA. Keith DunkerXiaohong LiCharles R. KissingerR. Dyche MullinsChristopher S. Campbell
- Journals
- Nature Microbiology (8 papers)Science (7 papers)mBio (3 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ethan C. Garner
59 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 6.3k
- Structural Biology 120
- Genetics 2.1k
- Molecular Medicine 320
- Cell Biology 846
Countries citing papers authored by Ethan C. Garner
This map shows the geographic impact of Ethan C. Garner'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 Ethan C. Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan C. Garner more than expected).
Fields of papers citing papers by Ethan C. Garner
This network shows the impact of papers produced by Ethan C. Garner. 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 Ethan C. Garner. The network helps show where Ethan C. Garner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan C. Garner, 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 | 2025 | 0 | |
| 2 | 2024 | 19 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 46 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 44 | |
| 10 | 2021 | 49 | |
| 11 | 2020 | 40 | |
| 12 | 2019 | 89 | |
| 13 | 2018 | 96 | |
| 14 | Treadmilling by FtsZ filaments drives peptidoglycan synthesis and bacterial cell division Hit paper breakdown → | 2017 | 417 |
| 15 | 2015 | 28 | |
| 16 | 2014 | 62 | |
| 17 | 2013 | 121 | |
| 18 | 2011 | 394 | |
| 19 | 2007 | 167 | |
| 20 | 2007 | 69 |
About Ethan C. Garner
Ethan C. Garner is a scholar working on Structural Biology, Genetics, Molecular Medicine, Ecology and Molecular Biology, having authored 61 papers that have together received 8.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (27 papers), Bacteriophages and microbial interactions (19 papers), RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (10 papers), Genomics and Phylogenetic Studies (9 papers), Bacterial biofilms and quorum sensing (7 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Structural Biology (120 citations), Genetics (2.1k citations), Molecular Medicine (320 citations) and Cell Biology (846 citations). Ethan C. Garner has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Zoran Obradović, Pedro Romero, Celeste J. Brown, A. Keith Dunker, Xiaohong Li, A. Keith Dunker, Charles R. Kissinger, R. Dyche Mullins, Christopher S. Campbell and Ryan M. Williams. Their work appears in journals such as Nature Microbiology, Science, mBio, Nature Communications and Journal of Biological Chemistry.
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.