R J Schmidt
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Molecular Biology top 5%
- Plant Reproductive Biology
- Plant tissue culture and regeneration
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
Papers in
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- Insect Resistance and Genetics 6
- Plant Reproductive Biology 4
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- Plant Molecular Biology Research 4
- Plant Genetic and Mutation Studies 3
- Genetic and Environmental Crop Studies 2
- Plant-Microbe Interactions and Immunity 2
- Co-authors
- Milo J. Aukerman (4 shared papers)Martin F. Yanofsky (3 shared papers)F A Burr (2 shared papers)B Burr (2 shared papers)Marguerite J. Varagona (2 shared papers)Natasha V. Raikhel (2 shared papers)Michael D. Purugganan (1 shared paper)Steven D. Rounsley (1 shared paper)
- Journals
- The Plant Cell (9 papers)Proceedings of the National Academy of Sciences (2 papers)Genes & Development (1 paper)Genetics (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
R J Schmidt
14 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 77
- Plant Science 1.6k
- Molecular Biology 1.5k
- Biotechnology 150
- Genetics 376
- Horticulture 10
Countries citing papers authored by R J Schmidt
This map shows the geographic impact of R J Schmidt'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 R J Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R J Schmidt more than expected).
Fields of papers citing papers by R J Schmidt
This network shows the impact of papers produced by R J Schmidt. 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 R J Schmidt. The network helps show where R J Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside R J Schmidt, 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 | 1990 | 331 | |
| 2 | 1981 | 323 | |
| 3 | 1995 | 320 | |
| 4 | 1992 | 278 | |
| 5 | 1992 | 239 | |
| 6 | 1993 | 188 | |
| 7 | 1993 | 104 | |
| 8 | 1993 | 97 | |
| 9 | 1997 | 78 | |
| 10 | 1992 | 73 | |
| 11 | 1991 | 68 | |
| 12 | 1993 | 48 | |
| 13 | 1991 | 48 | |
| 14 | 1999 | 14 |
About R J Schmidt
R J Schmidt is a scholar working on Molecular Biology, Plant Science, Genetics, Surgery and Insect Science, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (6 papers), Plant Reproductive Biology (4 papers), Plant Molecular Biology Research (4 papers), Plant Genetic and Mutation Studies (3 papers), Genetic and Environmental Crop Studies (2 papers), Entomopathogenic Microorganisms in Pest Control (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (1.5k citations), Biotechnology (150 citations), Genetics (376 citations) and Horticulture (10 citations). R J Schmidt has collaborated with scholars based in United States and Spain. Frequent co-authors include Milo J. Aukerman, Martin F. Yanofsky, F A Burr, B Burr, Marguerite J. Varagona, Natasha V. Raikhel, Michael D. Purugganan, Steven D. Rounsley, Gisela Hoschek and Sarah Hake. Their work appears in journals such as The Plant Cell, Proceedings of the National Academy of Sciences, Genes & Development, Genetics and Journal of Pharmacology and Experimental Therapeutics.
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.