W. R. Coffman

1.8k citations
23 papers · 1.3k indexed · 1 hit paper · h-index 11

W. R. Coffman

22 papers receiving 1.2k citations

Hit Papers

Molecular mapping of rice chromosomes8651988202620002013250500750

Peers

W. R. Coffman
Comparison fields: 5 of 59
  • Plant Science 1.2k
  • Genetics 591
  • Horticulture 11
  • Agronomy and Crop Science 57
  • Ecology, Evolution, Behavior and Systematics 87
Replace B. C. Viraktamath with:
B. C. Viraktamath India
G. Kimber United States
J. Sybenga Netherlands
Peng Xu China
T. C. Osborn United States
Monty P. Jones Ivory Coast
M. L. Carson United States
Gérard Second France
Mark Sawkins Mexico
D. González de León France
W. R. Coffman relative to B. C. Viraktamath India B. C. Viraktamath's profile →
Citations per field
00.5×1.5×2.2×
B. C. Viraktamath · 1×
Citations per year

Countries citing papers authored by W. R. Coffman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside W. R. Coffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W. R. Coffman Line = papers co-authored together W. R. Coffman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 20084
3 199214
4 19918
5
Modern rice varieties as a possible factor in production variability.
19893
6 19896
7
Molecular mapping of rice chromosomesbreakdown →
1988865
8 198741
9 198328
10 198275
11
Mejoramiento de arroz
19810
12 19811
13 198033
14
Varietal variation and evaluation procedures for ratooning ability in rice.
19806
15
Seed protein improvement in rice.
19792
16
Risk and uncertainty as factors in crop improvement research.
197810
17
Genetic interrelationships of improved rice varieties in Asia
197815
18 197716
19
Rice varietal development for cropping systems at IRRI.
19774
20 19686

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), GABA and Rice Research (4 papers), Plant Disease Resistance and Genetics (3 papers), Powdery Mildew Fungal Diseases (2 papers), Agricultural Systems and Practices (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Plant pathogens and resistance mechanisms (2 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.

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