Brian Keith
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
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- Photosynthetic Processes and Mechanisms 4
- Peroxisome Proliferator-Activated Receptors 1
- Plant Gene Expression Analysis 1
- Mitochondrial Function and Pathology 1
- Co-authors
- Nam‐Hai Chua (3 shared papers)Richard Broglie (3 shared papers)Gloria M. Coruzzi (3 shared papers)Gayle K. Lamppa (2 shared papers)Zachary L. Quinn (1 shared paper)J. Alan Diehl (1 shared paper)Ekaterina Bobrovnikova-Marjon (1 shared paper)Daniel Ackerman (1 shared paper)
- Journals
- The Plant Cell (1 paper)Nature Biotechnology (1 paper)The EMBO Journal (1 paper)Plant Molecular Biology (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesSlovakiaAustralia
In The Last Decade
Brian Keith
7 papers receiving 519 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 112
- Biochemistry 55
- Biotechnology 58
- Molecular Biology 437
- Plant Science 210
Countries citing papers authored by Brian Keith
This map shows the geographic impact of Brian Keith'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 Brian Keith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Keith more than expected).
Fields of papers citing papers by Brian Keith
This network shows the impact of papers produced by Brian Keith. 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 Brian Keith. The network helps show where Brian Keith may publish in the future.
Co-authors
The 20 scholars most cited alongside Brian Keith, 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 | 2013 | 176 | |
| 2 | 1986 | 151 | |
| 3 | 1983 | 137 | |
| 4 | 1984 | 79 | |
| 5 | 2023 | 6 | |
| 6 | Monocot and dicot genes encoding the small subunit of ribulose-1,5-bisphosphate carboxylase: structural analysis and gene expression. | 1983 | 3 |
| 7 | 1993 | 1 |
About Brian Keith
Brian Keith is a scholar working on Molecular Biology, Biotechnology, Plant Science, Epidemiology and Cell Biology, having authored 7 papers that have together received 553 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (4 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Fatty Acid Research and Health (1 paper), Plant Gene Expression Analysis (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Mitochondrial Function and Pathology (1 paper), Polysaccharides and Plant Cell Walls (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Cancer Research (112 citations), Biochemistry (55 citations), Biotechnology (58 citations), Molecular Biology (437 citations) and Plant Science (210 citations). Brian Keith has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include Nam‐Hai Chua, Richard Broglie, Gloria M. Coruzzi, Gayle K. Lamppa, Zachary L. Quinn, J. Alan Diehl, Ekaterina Bobrovnikova-Marjon, Daniel Ackerman, M. Celeste Simon and Michaela Gruber. Their work appears in journals such as The Plant Cell, Nature Biotechnology, The EMBO Journal, Plant Molecular Biology and Genes & Development.
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.