Dave E. Monks
Impact in
- Plant Science top 5%
- Plant Pathogenic Bacteria Studies
- Plant Stress Responses and Tolerance
- Legume Nitrogen Fixing Symbiosis
- Plant-Microbe Interactions and Immunity
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- Lipid metabolism and biosynthesis 3
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- Antibiotic Resistance in Bacteria 2
- Co-authors
- Ralph E. Dewey (5 shared papers)Polly D. Courtney (3 shared papers)Daryll B. DeWald (2 shared papers)George W. Sundin (1 shared paper)Carol L. Bender (1 shared paper)Vytas A. Bankaitis (1 shared paper)Marcos Rivas (1 shared paper)Min Fang (1 shared paper)
- Journals
- The Plant Cell (2 papers)PLANT PHYSIOLOGY (1 paper)Extremophiles (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Dave E. Monks
9 papers receiving 947 citations
Dave E. Monks's Hit Papers
Peers
Comparison fields: 5 of 55
- Plant Science 475
- Biochemistry 73
- Genetics 267
- Cell Biology 62
- Pollution 51
Countries citing papers authored by Dave E. Monks
This map shows the geographic impact of Dave E. Monks'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 E. Monks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave E. Monks more than expected).
Fields of papers citing papers by Dave E. Monks
This network shows the impact of papers produced by Dave E. Monks. 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 E. Monks. The network helps show where Dave E. Monks may publish in the future.
Co-authors
The 17 scholars most cited alongside Dave E. Monks, 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 | The Genome of the Natural Genetic Engineer Agrobacterium tumefaciens C58 Hit paper breakdown → | 2001 | 688 |
| 2 | 2001 | 102 | |
| 3 | 1998 | 66 | |
| 4 | 1995 | 50 | |
| 5 | 1996 | 29 | |
| 6 | 2003 | 29 | |
| 7 | 2001 | 6 | |
| 8 | 1997 | 3 | |
| 9 | 2006 | 2 |
About Dave E. Monks
Dave E. Monks is a scholar working on Biochemistry, Molecular Medicine, Plant Science, Pollution and Cell Biology, having authored 9 papers that have together received 975 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers), Plant Stress Responses and Tolerance (2 papers), Plant Molecular Biology Research (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Plant Science (475 citations), Biochemistry (73 citations), Genetics (267 citations), Cell Biology (62 citations) and Pollution (51 citations). Dave E. Monks has collaborated with scholars based in United States and Japan. Frequent co-authors include Ralph E. Dewey, Polly D. Courtney, Daryll B. DeWald, George W. Sundin, Carol L. Bender, Vytas A. Bankaitis, Marcos Rivas, Min Fang, Jianliang Chen and Anne B. Theibert. Their work appears in journals such as The Plant Cell, PLANT PHYSIOLOGY, Extremophiles, Science and Proceedings of the National Academy of Sciences.
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.