RJ Redden
- Plant Science top 5%
- Agronomy and Crop Science top 10%
- Genetics
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- K. E. BasfordAmirul IslamStephen BeebeN. F. JensenJ. B. SmithsonAngharad M. R. GatehouseP. DobieS. Beebe
- Topics
- Agricultural pest management studies (21 papers)Genetics and Plant Breeding (13 papers)Genetic and Environmental Crop Studies (11 papers)
- Partner nations
- AustraliaNigeriaUnited States
In The Last Decade
RJ Redden
34 papers receiving 360 citations
Peers
Comparison fields: 5 of 37
- Plant Science 394
- Agronomy and Crop Science 61
- Genetics 35
- Molecular Biology 32
- Ecology, Evolution, Behavior and Systematics 21
Countries citing papers authored by RJ Redden
This map shows the geographic impact of RJ Redden'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 RJ Redden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RJ Redden more than expected).
Fields of papers citing papers by RJ Redden
This network shows the impact of papers produced by RJ Redden. 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 RJ Redden. The network helps show where RJ Redden may publish in the future.
Co-authorship network of co-authors of RJ Redden
This figure shows the co-authorship network connecting the top 25 collaborators of RJ Redden. A scholar is included among the top collaborators of RJ Redden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with RJ Redden. RJ Redden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Collecting and surveying landraces of pea ("Pisum sativum") and faba bean ("Vicia faba") in Qinghai province of China | 6 |
| 2 | Preliminary evaluation of the common bean core collection at CIAT | 4 |
| 3 | 3 | |
| 4 | 42 | |
| 5 | 77 | |
| 6 | 2 | |
| 7 | Breeding for physiological traits affecting water use efficiency, nitrogen fixation and yield in grain legumes. | 1 |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | Adzuki beans: from production to marketing - part 2. | 2 |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 41 | |
| 19 | 1 | |
| 20 | 29 |
About RJ Redden
RJ Redden is a scholar working on Agronomy and Crop Science, Plant Science and Soil Science, having authored 36 papers that have together received 415 indexed citations. Recurring topics across this work include Agricultural pest management studies (21 papers), Genetics and Plant Breeding (13 papers) and Genetic and Environmental Crop Studies (11 papers). The work is most often cited by research in Plant Science (394 citations), Agronomy and Crop Science (61 citations) and Horticulture (3 citations). RJ Redden has collaborated with scholars based in Australia, Nigeria and United States. Frequent co-authors include K. E. Basford, Amirul Islam, Stephen Beebe, N. F. Jensen, J. B. Smithson, Angharad M. R. Gatehouse, P. Dobie, S. Beebe, I. H. DeLacy and D. G. Butler. Their work appears in journals such as Field Crops Research, Academic Medicine and Crop Science.
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.