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
- Advanced biosensing and bioanalysis techniques 1
- Biochemical and Structural Characterization 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)Kenneth D. Tucker (1 shared paper)Anatol Eberhard (1 shared paper)James R. Garey (1 shared paper)B. Boboye (1 shared paper)
- Journals
- Journal of Bacteriology (5 papers)Microbiology (1 paper)Trends in Cell Biology (1 paper)Archives of Microbiology (1 paper)Journal of Microbiological Methods (1 paper)
- Partner nations
- United States
In The Last Decade
K M Gray
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Endocrinology 282
- Molecular Medicine 232
- Microbiology 129
- Genetics 572
- 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 | 791 |
| 2 | 2000 | 194 | |
| 3 | 2001 | 139 | |
| 4 | 1996 | 121 | |
| 5 | 1994 | 119 | |
| 6 | 1997 | 84 | |
| 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), Legume Nitrogen Fixing Symbiosis (2 papers), Microbial Community Ecology and Physiology (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cystic Fibrosis Research Advances (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Endocrinology (282 citations), Molecular Medicine (232 citations), Microbiology (129 citations), Genetics (572 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, Kenneth D. Tucker, Anatol Eberhard, James R. Garey, B. Boboye, J. Allan Downie and Edward G. Ruby. Their work appears in journals such as Journal of Bacteriology, Microbiology, Trends in Cell Biology, Archives of Microbiology and Journal of Microbiological Methods.
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.