K M Gray
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 6
- DNA and Nucleic Acid Chemistry 1
- bioluminescence and chemiluminescence research 1
- Genetics 7
- Bacterial Genetics and Biotechnology 6
- Co-authors
- E. Peter Greenberg (4 shared papers)Luciano Passador (2 shared papers)Barbara H. Iglewski (2 shared papers)James P. Pearson (2 shared papers)Anatol Eberhard (1 shared paper)Kenneth D. Tucker (1 shared paper)James R. Garey (1 shared paper)J. Allan Downie (1 shared paper)
- Journals
- Journal of Bacteriology (5 papers)Journal of Microbiological Methods (1 paper)Trends in Microbiology (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
K M Gray
12 papers receiving 1.6k citations
K M Gray's Hit Papers
Peers
Comparison fields: 5 of 99
- Endocrinology 269
- Molecular Medicine 219
- Genetics 558
- Microbiology 122
- Molecular Biology 1.3k
Countries citing papers authored by K M Gray
This map shows the geographic impact of K M Gray'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 K M Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K M Gray more than expected).
Fields of papers citing papers by K M Gray
This network shows the impact of papers produced by K M Gray. 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 K M Gray. The network helps show where K M Gray may publish in the future.
Co-authors
The 17 scholars most cited alongside K M Gray, 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 | Structure of the autoinducer required for expression of Pseudomonas aeruginosa virulence genes. Hit paper breakdown → | 1994 | 795 |
| 2 | 2000 | 195 | |
| 3 | 2001 | 141 | |
| 4 | 1996 | 121 | |
| 5 | 1994 | 119 | |
| 6 | 1997 | 83 | |
| 7 | 1992 | 64 | |
| 8 | 1985 | 47 | |
| 9 | 2001 | 31 | |
| 10 | 1990 | 20 | |
| 11 | 1989 | 12 | |
| 12 | 2000 | 2 |
About K M Gray
K M Gray is a scholar working on Molecular Biology, Genetics, Endocrinology, Ecology and Plant Science, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), Bacterial Genetics and Biotechnology (6 papers), Vibrio bacteria research studies (3 papers), Microbial Community Ecology and Physiology (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Plant nutrient uptake and metabolism (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and bioluminescence and chemiluminescence research (1 paper). The work is most often cited by research in Endocrinology (269 citations), Molecular Medicine (219 citations), Genetics (558 citations), Microbiology (122 citations) and Molecular Biology (1.3k citations). K M Gray has collaborated with scholars based in United States. Frequent co-authors include E. Peter Greenberg, Luciano Passador, Barbara H. Iglewski, James P. Pearson, Anatol Eberhard, Kenneth D. Tucker, James R. Garey, J. Allan Downie, B. Boboye and Renée S. Blosser-Middleton. Their work appears in journals such as Journal of Bacteriology, Journal of Microbiological Methods, Trends in Microbiology, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.