Mark D. Curtis
Impact in
- Plant Science top 0.5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
- Molecular Biology top 5%
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
- Plant tissue culture and regeneration
Papers in
-
- Plant Molecular Biology Research 5
- Chromosomal and Genetic Variations 2
- Plant-Microbe Interactions and Immunity 2
-
- Transgenic Plants and Applications 2
- Co-authors
- Ueli GrossniklausAndrew HudsonMaitreya J. DunhamMary E. ByrneRobert A. MartienssenCharles SpillaneJohn M. MannersWillem F. Broekaert
- Journals
- PLANT PHYSIOLOGY (2 papers)The Plant Journal (2 papers)Current Genetics (1 paper)Molecular Plant-Microbe Interactions (1 paper)Genome (1 paper)
- Partner nations
- SwitzerlandAustraliaUnited Kingdom
In The Last Decade
Mark D. Curtis
14 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Plant Science 3.0k
- Molecular Biology 2.4k
- Biotechnology 148
- Biochemistry 123
- Ecology, Evolution, Behavior and Systematics 259
Countries citing papers authored by Mark D. Curtis
This map shows the geographic impact of Mark D. Curtis'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 Mark D. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Curtis more than expected).
Fields of papers citing papers by Mark D. Curtis
This network shows the impact of papers produced by Mark D. Curtis. 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 Mark D. Curtis. The network helps show where Mark D. Curtis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark D. Curtis, 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 | 2009 | 67 | |
| 2 | 2008 | 3 | |
| 3 | 2007 | 53 | |
| 4 | 2006 | 6 | |
| 5 | 2006 | 88 | |
| 6 | 2004 | 133 | |
| 7 | 2004 | 124 | |
| 8 | A Gateway Cloning Vector Set for High-Throughput Functional Analysis of Genes in Planta Hit paper breakdown → | 2003 | 2169 |
| 9 | Asymmetric leaves1 mediates leaf patterning and stem cell function in Arabidopsis Hit paper breakdown → | 2000 | 655 |
| 10 | 1998 | 153 | |
| 11 | 1998 | 1 | |
| 12 | 1997 | 56 | |
| 13 | 1995 | 22 | |
| 14 | 1994 | 32 |
About Mark D. Curtis
Mark D. Curtis is a scholar working on Plant Science, Biotechnology, Microbiology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 3.6k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers), Plant tissue culture and regeneration (4 papers), Chromosomal and Genetic Variations (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Transgenic Plants and Applications (2 papers), Plant Taxonomy and Phylogenetics (2 papers) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Plant Science (3.0k citations), Molecular Biology (2.4k citations), Biotechnology (148 citations), Biochemistry (123 citations) and Ecology, Evolution, Behavior and Systematics (259 citations). Mark D. Curtis has collaborated with scholars based in Switzerland, Australia and United Kingdom. Frequent co-authors include Ueli Grossniklaus, Andrew Hudson, Maitreya J. Dunham, Mary E. Byrne, Robert A. Martienssen, Charles Spillane, John M. Manners, Willem F. Broekaert, Kemal Kazan and Bruno P.A. Cammue. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Journal, Current Genetics, Molecular Plant-Microbe Interactions and Genome.
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.