Steve Hague
Impact in
- Plant Science top 5%
- Research in Cotton Cultivation
- Smart Agriculture and AI
- Genetics and Plant Breeding
- Rice Cultivation and Yield Improvement
- Agronomy and Crop Science top 10%
- Crop Yield and Soil Fertility
Papers in
-
- Research in Cotton Cultivation 40
- Genetics and Plant Breeding 3
-
- Crop Yield and Soil Fertility 10
- Co-authors
- C. Wayne Smith (30 shared papers)Eric Héquet (21 shared papers)Jane K. Dever (9 shared papers)Dirk B. Hays (2 shared papers)Seth C. Murray (2 shared papers)Jinha Jung (2 shared papers)Junho Yeom (1 shared paper)Nothabo Dube (1 shared paper)
- Journals
- Crop Science (13 papers)The journal of cotton science/Journal of cotton science (3 papers)Euphytica (2 papers)Agronomy Journal (2 papers)Industrial Crops and Products (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Steve Hague
50 papers receiving 531 citations
Peers
Comparison fields: 5 of 72
- Plant Science 461
- Agronomy and Crop Science 66
- Endocrinology 20
- Soil Science 36
- Ecology 87
Countries citing papers authored by Steve Hague
This map shows the geographic impact of Steve Hague'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 Steve Hague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Hague more than expected).
Fields of papers citing papers by Steve Hague
This network shows the impact of papers produced by Steve Hague. 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 Steve Hague. The network helps show where Steve Hague may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Hague, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2020 | 59 | |
| 3 | 2013 | 45 | |
| 4 | 2008 | 30 | |
| 5 | 2009 | 24 | |
| 6 | 2023 | 18 | |
| 7 | 2015 | 17 | |
| 8 | 2018 | 17 | |
| 9 | 2011 | 16 | |
| 10 | 2022 | 13 | |
| 11 | Fiber properties and mini-spun yarn performance of extra long staple upland cotton. | 2010 | 12 |
| 12 | 2013 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2013 | 9 | |
| 17 | 2011 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2009 | 9 |
About Steve Hague
Steve Hague is a scholar working on Plant Science, Agronomy and Crop Science, Soil Science, Endocrinology and Ecology, having authored 52 papers that have together received 552 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (40 papers), Crop Yield and Soil Fertility (10 papers), Plant and Fungal Interactions Research (5 papers), Textile materials and evaluations (4 papers), Remote Sensing in Agriculture (4 papers), Genetics and Plant Breeding (3 papers), Soil Management and Crop Yield (3 papers) and Diverse Educational Innovations Studies (2 papers). The work is most often cited by research in Plant Science (461 citations), Agronomy and Crop Science (66 citations), Endocrinology (20 citations), Soil Science (36 citations) and Ecology (87 citations). Steve Hague has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include C. Wayne Smith, Eric Héquet, Jane K. Dever, Dirk B. Hays, Seth C. Murray, Jinha Jung, Junho Yeom, Nothabo Dube, Juan Landivar and Anjin Chang. Their work appears in journals such as Crop Science, The journal of cotton science/Journal of cotton science, Euphytica, Agronomy Journal and Industrial Crops and Products.
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.