Dave Flowers
Impact in
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Chromosomal and Genetic Variations 2
- Plant Disease Resistance and Genetics 1
- Legume Nitrogen Fixing Symbiosis 1
-
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 3
- Glycosylation and Glycoproteins Research 1
- Co-authors
- G. Waeg (1 shared paper)Ernst Malle (1 shared paper)Roland Stocker (1 shared paper)Linda Hazell (1 shared paper)Leslie M. Arnold (1 shared paper)Paul A. Algate (1 shared paper)Kristen Carlberg (1 shared paper)Cynthia L. Friedman (1 shared paper)
- Journals
- Nature (5 papers)Blood (1 paper)Nature Genetics (1 paper)BMC Genomics (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Dave Flowers
8 papers receiving 1.7k citations
Dave Flowers's Hit Papers
Peers
Comparison fields: 5 of 105
- Biochemistry 121
- Immunology 354
- Genetics 418
- Biochemistry 100
- Plant Science 496
Countries citing papers authored by Dave Flowers
This map shows the geographic impact of Dave Flowers'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 Dave Flowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Flowers more than expected).
Fields of papers citing papers by Dave Flowers
This network shows the impact of papers produced by Dave Flowers. 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 Dave Flowers. The network helps show where Dave Flowers may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Flowers, 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 | 1996 | 557 | |
| 2 | Genomes of 13 domesticated and wild rice relatives highlight genetic conservation, turnover and innovation across the genus Oryza Hit paper breakdown → | 2018 | 392 |
| 3 | 2004 | 268 | |
| 4 | 2004 | 141 | |
| 5 | 2004 | 127 | |
| 6 | 2019 | 91 | |
| 7 | 2004 | 84 | |
| 8 | 1997 | 69 | |
| 9 | Gene duplication in soybean and polymorphism in the steroid biosynthesis pathway indicate highly conserved gene sequences. | 2008 | 0 |
| 10 | 2026 | 0 |
About Dave Flowers
Dave Flowers is a scholar working on Plant Science, Molecular Biology, Biochemistry, Genetics and Genetics, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Glycosylation and Glycoproteins Research (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Plant Disease Resistance and Genetics (1 paper) and Legume Nitrogen Fixing Symbiosis (1 paper). The work is most often cited by research in Biochemistry (121 citations), Immunology (354 citations), Genetics (418 citations), Biochemistry (100 citations) and Plant Science (496 citations). Dave Flowers has collaborated with scholars based in United States, France and Australia. Frequent co-authors include G. Waeg, Ernst Malle, Roland Stocker, Linda Hazell, Leslie M. Arnold, Paul A. Algate, Kristen Carlberg, Cynthia L. Friedman, Larry R. Rohrschneider and Barbara J. Trask. Their work appears in journals such as Nature, Blood, Nature Genetics, BMC Genomics and Journal of Clinical Investigation.
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.