Keith Gregg
Impact in
- Cell Biology top 5%
- Skin and Cellular Biology Research
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
-
- Enzyme Production and Characterization 7
- Genetics 12
- Animal Genetics and Reproduction 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- George E. Rogers (3 shared papers)G.E. Rogers (5 shared papers)Philip E. Vercoe (2 shared papers)Cheryl E. Beard (5 shared papers)Peter L. Molloy (3 shared papers)Jan Kopečný (2 shared papers)Athol V. Klieve (4 shared papers)Steve Donald Wilton (2 shared papers)
- Journals
- Current Microbiology (5 papers)Microbiology (4 papers)Nucleic Acids Research (3 papers)Human Gene Therapy (1 paper)Gene (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Keith Gregg
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Cell Biology 297
- Biotechnology 139
- Agronomy and Crop Science 158
- Biomaterials 194
- Urology 76
Countries citing papers authored by Keith Gregg
This map shows the geographic impact of Keith Gregg'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 Keith Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Gregg more than expected).
Fields of papers citing papers by Keith Gregg
This network shows the impact of papers produced by Keith Gregg. 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 Keith Gregg. The network helps show where Keith Gregg may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Gregg, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 160 | |
| 2 | 2021 | 97 | |
| 3 | 1998 | 93 | |
| 4 | 2022 | 87 | |
| 5 | 1989 | 77 | |
| 6 | 1984 | 71 | |
| 7 | 1994 | 66 | |
| 8 | 1992 | 50 | |
| 9 | 1991 | 49 | |
| 10 | 1982 | 45 | |
| 11 | 2016 | 38 | |
| 12 | 1989 | 35 | |
| 13 | 1995 | 33 | |
| 14 | 1991 | 33 | |
| 15 | 1995 | 32 | |
| 16 | 1989 | 29 | |
| 17 | 1997 | 24 | |
| 18 | 2022 | 24 | |
| 19 | 1991 | 22 | |
| 20 | 1994 | 18 |
About Keith Gregg
Keith Gregg is a scholar working on Biotechnology, Genetics, Molecular Biology, Agronomy and Crop Science and Nutrition and Dietetics, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (7 papers), Biofuel production and bioconversion (7 papers), Animal Genetics and Reproduction (6 papers), Skin and Cellular Biology Research (6 papers), Plant and fungal interactions (6 papers), Bacterial Genetics and Biotechnology (5 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Microbial Metabolites in Food Biotechnology (5 papers). The work is most often cited by research in Cell Biology (297 citations), Biotechnology (139 citations), Agronomy and Crop Science (158 citations), Biomaterials (194 citations) and Urology (76 citations). Keith Gregg has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include George E. Rogers, G.E. Rogers, Philip E. Vercoe, Cheryl E. Beard, Peter L. Molloy, Jan Kopečný, Athol V. Klieve, Steve Donald Wilton, David A.D. Parry and Tom Bauchop. Their work appears in journals such as Current Microbiology, Microbiology, Nucleic Acids Research, Human Gene Therapy and Gene.
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.