David A. Coil
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 34
- Bacterial biofilms and quorum sensing 5
- Ecology 27
- Microbial Community Ecology and Physiology 24
- Co-authors
- Guillaume Jospin (34 shared papers)Aaron E. Darling (10 shared papers)Jonathan A. Eisen (65 shared papers)A. Dusty Miller (4 shared papers)Leslie Dietz (3 shared papers)Mark Fretz (3 shared papers)Patrick F. Horve (3 shared papers)Kevin Van Den Wymelenberg (3 shared papers)
- Journals
- PLoS ONE (7 papers)PeerJ (6 papers)Journal of Virology (3 papers)mSphere (2 papers)PLoS Biology (2 papers)
- Partner nations
- United StatesLebanonBelgium
In The Last Decade
David A. Coil
84 papers receiving 2.7k citations
David A. Coil's Hit Papers
Peers
Comparison fields: 5 of 179
- Endocrinology 258
- Molecular Medicine 190
- Modeling and Simulation 112
- General Dentistry 27
- Microbiology 13
Countries citing papers authored by David A. Coil
This map shows the geographic impact of David A. Coil'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 David A. Coil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Coil more than expected).
Fields of papers citing papers by David A. Coil
This network shows the impact of papers produced by David A. Coil. 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 David A. Coil. The network helps show where David A. Coil may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Coil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data Hit paper breakdown → | 2014 | 906 |
| 2 | Schrödinger’s microbes: Tools for distinguishing the living from the dead in microbial ecosystems Hit paper breakdown → | 2017 | 351 |
| 3 | 2020 | 306 | |
| 4 | 2010 | 211 | |
| 5 | 2004 | 129 | |
| 6 | 2017 | 58 | |
| 7 | 2017 | 47 | |
| 8 | 2016 | 46 | |
| 9 | 2022 | 40 | |
| 10 | 2010 | 38 | |
| 11 | 2005 | 35 | |
| 12 | 2021 | 35 | |
| 13 | 2006 | 32 | |
| 14 | 2008 | 26 | |
| 15 | 2015 | 24 | |
| 16 | 2015 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2016 | 18 | |
| 19 | 2001 | 16 | |
| 20 | 2019 | 16 |
About David A. Coil
David A. Coil is a scholar working on Molecular Biology, Ecology, Endocrinology, Molecular Medicine and Infectious Diseases, having authored 84 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (34 papers), Microbial Community Ecology and Physiology (24 papers), Antibiotic Resistance in Bacteria (8 papers), Vibrio bacteria research studies (7 papers), Legionella and Acanthamoeba research (7 papers), Infection Control and Ventilation (5 papers), Bacterial biofilms and quorum sensing (5 papers) and Actinomycetales infections and treatment (5 papers). The work is most often cited by research in Endocrinology (258 citations), Molecular Medicine (190 citations), Modeling and Simulation (112 citations), General Dentistry (27 citations) and Microbiology (13 citations). David A. Coil has collaborated with scholars based in United States, Lebanon and Belgium. Frequent co-authors include Guillaume Jospin, Aaron E. Darling, Jonathan A. Eisen, A. Dusty Miller, Leslie Dietz, Mark Fretz, Patrick F. Horve, Kevin Van Den Wymelenberg, Mary Pat Wenderoth and Clarissa Dirks. Their work appears in journals such as PLoS ONE, PeerJ, Journal of Virology, mSphere and PLoS 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.