Gail Teitzel
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
Papers in
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- Bacterial biofilms and quorum sensing 3
-
- Plant Parasitism and Resistance 3
- Plant Pathogenic Bacteria Studies 3
- Plant-Microbe Interactions and Immunity 3
- Co-authors
- Matthew R. Parsek (4 shared papers)Marvin Whiteley (2 shared papers)M. Gita Bangera (1 shared paper)Roger E. Bumgarner (1 shared paper)Stephen Lory (1 shared paper)E. Peter Greenberg (1 shared paper)Michael Givskov (1 shared paper)Morten Hentzer (1 shared paper)
- Journals
- Cell (2 papers)Journal of Bacteriology (2 papers)Molecular Microbiology (1 paper)Plant Signaling & Behavior (1 paper)Nature (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Gail Teitzel
9 papers receiving 2.3k citations
Gail Teitzel's Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Medicine 315
- Endocrinology 325
- Periodontics 207
- Microbiology 208
- Health, Toxicology and Mutagenesis 312
Countries citing papers authored by Gail Teitzel
This map shows the geographic impact of Gail Teitzel'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 Gail Teitzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Teitzel more than expected).
Fields of papers citing papers by Gail Teitzel
This network shows the impact of papers produced by Gail Teitzel. 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 Gail Teitzel. The network helps show where Gail Teitzel may publish in the future.
Co-authors
The 24 scholars most cited alongside Gail Teitzel, 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 | Gene expression in Pseudomonas aeruginosa biofilms Hit paper breakdown → | 2001 | 874 |
| 2 | Heavy Metal Resistance of Biofilm and Planktonic Pseudomonas aeruginosa Hit paper breakdown → | 2003 | 545 |
| 3 | Alginate Overproduction Affects Pseudomonas aeruginosa Biofilm Structure and Function Hit paper breakdown → | 2001 | 528 |
| 4 | 2006 | 247 | |
| 5 | 2006 | 150 | |
| 6 | 2012 | 58 | |
| 7 | 2018 | 2 | |
| 8 | 2012 | 1 | |
| 9 | 2016 | 1 |
About Gail Teitzel
Gail Teitzel is a scholar working on Molecular Biology, Plant Science, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine and Epidemiology, having authored 9 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Parasitism and Resistance (3 papers), Bacterial biofilms and quorum sensing (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Chromium effects and bioremediation (1 paper), Water Treatment and Disinfection (1 paper), Cystic Fibrosis Research Advances (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Molecular Medicine (315 citations), Endocrinology (325 citations), Periodontics (207 citations), Microbiology (208 citations) and Health, Toxicology and Mutagenesis (312 citations). Gail Teitzel has collaborated with scholars based in United States and Denmark. Frequent co-authors include Matthew R. Parsek, Marvin Whiteley, M. Gita Bangera, Roger E. Bumgarner, Stephen Lory, E. Peter Greenberg, Michael Givskov, Morten Hentzer, Grant J. Balzer and Søren Molin. Their work appears in journals such as Cell, Journal of Bacteriology, Molecular Microbiology, Plant Signaling & Behavior and Nature.
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.