G. Donn
Impact in
- Biotechnology top 5%
- Transgenic Plants and Applications
- Plant Science top 5%
- Plant Genetic and Mutation Studies
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Weed Control and Herbicide Applications
- Plant nutrient uptake and metabolism
Papers in
-
- Plant tissue culture and regeneration 8
- Plant Reproductive Biology 5
- Plant Gene Expression Analysis 1
-
- Plant nutrient uptake and metabolism 2
- Seed Germination and Physiology 1
- Polysaccharides and Plant Cell Walls 1
- Co-authors
- Ingo Potrykus (3 shared papers)E. Tischer (1 shared paper)John A. Smith (1 shared paper)H. M. Goodman (1 shared paper)Dénes Dudits (2 shared papers)Swapan K. Datta (1 shared paper)Karabi Datta (1 shared paper)Mária Deák (1 shared paper)
- Journals
- Theoretical and Applied Genetics (1 paper)The Plant Journal (1 paper)Plant Molecular Biology (1 paper)Plant Cell Reports (1 paper)Angewandte Chemie International Edition in English (1 paper)
- Partner nations
- GermanyHungarySwitzerland
In The Last Decade
G. Donn
11 papers receiving 462 citations
Peers
Comparison fields: 5 of 35
- Biotechnology 100
- Plant Science 430
- Molecular Biology 432
- Pollution 24
- Food Science 25
Countries citing papers authored by G. Donn
This map shows the geographic impact of G. Donn'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 G. Donn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Donn more than expected).
Fields of papers citing papers by G. Donn
This network shows the impact of papers produced by G. Donn. 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 G. Donn. The network helps show where G. Donn may publish in the future.
Co-authors
The 17 scholars most cited alongside G. Donn, 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 | 1992 | 125 | |
| 2 | Herbicide-resistant alfalfa cells: an example of gene amplification in plants. | 1984 | 112 |
| 3 | 1990 | 80 | |
| 4 | 1973 | 78 | |
| 5 | 2003 | 32 | |
| 6 | 1978 | 28 | |
| 7 | 1988 | 22 | |
| 8 | 1973 | 15 | |
| 9 | 1987 | 9 | |
| 10 | 1987 | 5 | |
| 11 | The influence of temperature on the herbicidal activity of diclofop-methyl against different weed grass species | 1980 | 5 |
About G. Donn
G. Donn is a scholar working on Molecular Biology, Plant Science, Biotechnology, General Agricultural and Biological Sciences and Infectious Diseases, having authored 11 papers that have together received 511 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (8 papers), Plant Reproductive Biology (5 papers), Transgenic Plants and Applications (3 papers), Plant nutrient uptake and metabolism (2 papers), Seed Germination and Physiology (1 paper), Plant Gene Expression Analysis (1 paper), Polysaccharides and Plant Cell Walls (1 paper) and Agriculture and Biological Studies (1 paper). The work is most often cited by research in Biotechnology (100 citations), Plant Science (430 citations), Molecular Biology (432 citations), Pollution (24 citations) and Food Science (25 citations). G. Donn has collaborated with scholars based in Germany, Hungary and Switzerland. Frequent co-authors include Ingo Potrykus, E. Tischer, John A. Smith, H. M. Goodman, Dénes Dudits, Swapan K. Datta, Karabi Datta, Mária Deák, Attila Fehér and Dieter Heß. Their work appears in journals such as Theoretical and Applied Genetics, The Plant Journal, Plant Molecular Biology, Plant Cell Reports and Angewandte Chemie International Edition in English.
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.