Gregory L. Gray
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Transgenic Plants and Applications
- Molecular Medicine top 10%
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Fungal and yeast genetics research 2
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Michael L. Vasil (8 shared papers)Randy M. Berka (7 shared papers)Herbert L. Heyneker (3 shared papers)Richard N. Harkins (1 shared paper)Douglas H. Smith (1 shared paper)Daniel Cullen (3 shared papers)Lori J. Wilson (2 shared papers)Kirk Hayenga (2 shared papers)
- Journals
- Journal of Bacteriology (5 papers)Gene (3 papers)Nature Biotechnology (2 papers)Infection and Immunity (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Gregory L. Gray
15 papers receiving 931 citations
Peers
Comparison fields: 5 of 77
- Biotechnology 237
- Molecular Medicine 71
- Genetics 345
- Molecular Biology 692
- Microbiology 62
Countries citing papers authored by Gregory L. Gray
This map shows the geographic impact of Gregory L. 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 Gregory L. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory L. Gray more than expected).
Fields of papers citing papers by Gregory L. Gray
This network shows the impact of papers produced by Gregory L. 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 Gregory L. Gray. The network helps show where Gregory L. Gray may publish in the future.
Co-authors
The 22 scholars most cited alongside Gregory L. 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 | 1984 | 235 | |
| 2 | 1987 | 152 | |
| 3 | 1981 | 122 | |
| 4 | 1987 | 109 | |
| 5 | 1985 | 94 | |
| 6 | 1986 | 60 | |
| 7 | 1987 | 59 | |
| 8 | 1982 | 46 | |
| 9 | 1986 | 42 | |
| 10 | 1984 | 28 | |
| 11 | 1981 | 28 | |
| 12 | 1981 | 24 | |
| 13 | 1982 | 20 | |
| 14 | 1981 | 12 | |
| 15 | 1988 | 2 | |
| 16 | 2015 | 0 |
About Gregory L. Gray
Gregory L. Gray is a scholar working on Molecular Biology, Genetics, Biotechnology, Cell Biology and Infectious Diseases, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Bacterial biofilms and quorum sensing (4 papers), Toxin Mechanisms and Immunotoxins (2 papers), Fungal and yeast genetics research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Enzyme Production and Characterization (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Biotechnology (237 citations), Molecular Medicine (71 citations), Genetics (345 citations), Molecular Biology (692 citations) and Microbiology (62 citations). Gregory L. Gray has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael L. Vasil, Randy M. Berka, Herbert L. Heyneker, Richard N. Harkins, Douglas H. Smith, Daniel Cullen, Lori J. Wilson, Kirk Hayenga, Berl R. Oakley and Gregory S. May. Their work appears in journals such as Journal of Bacteriology, Gene, Nature Biotechnology, Infection and Immunity and Nucleic Acids Research.
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.