W. R. Coffman
- Plant Science top 2%
- Genetics top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- G. S. KhushZheping YuGary KochertSusan R. McCouchSteven D. TanksleyD. J. MackillDennis P. GarrityJ. N. Rutger
- Topics
- Rice Cultivation and Yield Improvement (12 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)GABA and Rice Research (4 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- United StatesPhilippinesBrazil
In The Last Decade
W. R. Coffman
22 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Plant Science 1.2k
- Genetics 591
- Molecular Biology 292
- Ecology, Evolution, Behavior and Systematics 87
- Agronomy and Crop Science 57
Countries citing papers authored by W. R. Coffman
This map shows the geographic impact of W. R. Coffman'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 W. R. Coffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. R. Coffman more than expected).
Fields of papers citing papers by W. R. Coffman
This network shows the impact of papers produced by W. R. Coffman. 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 W. R. Coffman. The network helps show where W. R. Coffman may publish in the future.
Co-authorship network of co-authors of W. R. Coffman
This figure shows the co-authorship network connecting the top 25 collaborators of W. R. Coffman. A scholar is included among the top collaborators of W. R. Coffman 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 W. R. Coffman. W. R. Coffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | Modern rice varieties as a possible factor in production variability. | 3 |
| 6 | 6 | |
| 7 | Molecular mapping of rice chromosomesbreakdown → | 865 |
| 8 | 41 | |
| 9 | 28 | |
| 10 | 75 | |
| 11 | Mejoramiento de arroz | 0 |
| 12 | 1 | |
| 13 | 33 | |
| 14 | Varietal variation and evaluation procedures for ratooning ability in rice. | 6 |
| 15 | Seed protein improvement in rice. | 2 |
| 16 | Risk and uncertainty as factors in crop improvement research. | 10 |
| 17 | Genetic interrelationships of improved rice varieties in Asia | 15 |
| 18 | 16 | |
| 19 | Rice varietal development for cropping systems at IRRI. | 4 |
| 20 | 6 |
About W. R. Coffman
W. R. Coffman is a scholar working on Plant Science, General Agricultural and Biological Sciences and Genetics, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (12 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and GABA and Rice Research (4 papers). The work is most often cited by research in Plant Science (1.2k citations), Genetics (591 citations) and Horticulture (11 citations). W. R. Coffman has collaborated with scholars based in United States, Philippines and Brazil. Frequent co-authors include G. S. Khush, Zheping Yu, Gary Kochert, Susan R. McCouch, Steven D. Tanksley, D. J. Mackill, Dennis P. Garrity, J. N. Rutger, Mark E. Sorrells and Gary C. Bergstrom. Their work appears in journals such as BioScience, Theoretical and Applied Genetics 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.