Eric W. Storlie
Impact in
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility
- Bioenergy crop production and management
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Seed Germination and Physiology
- Plant Disease Resistance and Genetics
Papers in
-
- Wheat and Barley Genetics and Pathology 9
- Genetics and Plant Breeding 8
- Chromosomal and Genetic Variations 2
- Legume Nitrogen Fixing Symbiosis 2
- Genetic and Environmental Crop Studies 1
-
- Crop Yield and Soil Fertility 4
- Co-authors
- Daryl J. Mares (2 shared papers)Kevin Jon Williams (1 shared paper)M. W. Sutherland (2 shared papers)Brian D. Watson (1 shared paper)Judy Cheong (1 shared paper)Kolumbina Mrva (1 shared paper)Gilles Charmet (2 shared papers)Robert E. Allan (1 shared paper)
- Journals
- Crop Science (3 papers)Theoretical and Applied Genetics (2 papers)Genome (2 papers)Molecular Breeding (2 papers)Euphytica (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Eric W. Storlie
13 papers receiving 434 citations
Peers
Comparison fields: 5 of 30
- Agronomy and Crop Science 121
- Plant Science 428
- Genetics 146
- Environmental Chemistry 10
- Physiology 3
Countries citing papers authored by Eric W. Storlie
This map shows the geographic impact of Eric W. Storlie'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 Eric W. Storlie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric W. Storlie more than expected).
Fields of papers citing papers by Eric W. Storlie
This network shows the impact of papers produced by Eric W. Storlie. 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 Eric W. Storlie. The network helps show where Eric W. Storlie may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric W. Storlie, 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 | 2005 | 177 | |
| 2 | 2014 | 53 | |
| 3 | 1998 | 48 | |
| 4 | 2013 | 45 | |
| 5 | 2013 | 35 | |
| 6 | 1995 | 34 | |
| 7 | 2007 | 30 | |
| 8 | 1993 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2008 | 8 | |
| 11 | 1996 | 5 | |
| 12 | 1992 | 3 | |
| 13 | 2006 | 3 |
About Eric W. Storlie
Eric W. Storlie is a scholar working on Plant Science, Agronomy and Crop Science, Genetics, Nutrition and Dietetics and Insect Science, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (9 papers), Genetics and Plant Breeding (8 papers), Crop Yield and Soil Fertility (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers), Chromosomal and Genetic Variations (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Genetic and Environmental Crop Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (121 citations), Plant Science (428 citations), Genetics (146 citations), Environmental Chemistry (10 citations) and Physiology (3 citations). Eric W. Storlie has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Daryl J. Mares, Kevin Jon Williams, M. W. Sutherland, Brian D. Watson, Judy Cheong, Kolumbina Mrva, Gilles Charmet, Robert E. Allan, Mary Kay Walker-Simmons and Nancy K. Blake. Their work appears in journals such as Crop Science, Theoretical and Applied Genetics, Genome, Molecular Breeding and Euphytica.
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.