Gloria Burow
Impact in
- Agronomy and Crop Science top 1%
- Bioenergy crop production and management
- Plant Science top 1%
- Plant Genetic and Mutation Studies
- Mycotoxins in Agriculture and Food
- Plant Stress Responses and Tolerance
- Genetics and Plant Breeding
- Peanut Plant Research Studies
- Wheat and Barley Genetics and Pathology
Papers in
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- Bioenergy crop production and management 22
-
- Peanut Plant Research Studies 9
- Plant Genetic and Mutation Studies 9
- Plant responses to water stress 7
- Wheat and Barley Genetics and Pathology 6
- Plant Virus Research Studies 5
- Co-authors
- John BurkeZhanguo XinCleve D. FranksNancy P. KellerRatan ChopraChad HayesVerónica Acosta‐MartínezMark D. Burow
- Journals
- Crop Science (9 papers)G3 Genes Genomes Genetics (3 papers)BioEnergy Research (2 papers)Molecular Breeding (2 papers)The Plant Genome (2 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Gloria Burow
62 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 89
- Agronomy and Crop Science 557
- Plant Science 1.8k
- Genetics 514
- Horticulture 13
- Soil Science 104
Countries citing papers authored by Gloria Burow
This map shows the geographic impact of Gloria Burow'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 Gloria Burow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria Burow more than expected).
Fields of papers citing papers by Gloria Burow
This network shows the impact of papers produced by Gloria Burow. 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 Gloria Burow. The network helps show where Gloria Burow may publish in the future.
Co-authors
The 25 scholars most cited alongside Gloria Burow, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 11 | |
| 5 | 2018 | 37 | |
| 6 | 2017 | 67 | |
| 7 | 2016 | 14 | |
| 8 | 2016 | 86 | |
| 9 | 2015 | 11 | |
| 10 | 2015 | 55 | |
| 11 | 2015 | 33 | |
| 12 | 2014 | 47 | |
| 13 | 2009 | 113 | |
| 14 | 2008 | 44 | |
| 15 | 2008 | 195 | |
| 16 | 2008 | 31 | |
| 17 | 2003 | 33 | |
| 18 | 2001 | 57 | |
| 19 | 1997 | 139 | |
| 20 | 1993 | 64 |
About Gloria Burow
Gloria Burow is a scholar working on Agronomy and Crop Science, Plant Science, Genetics, Inorganic Chemistry and Endocrinology, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (22 papers), Bioenergy crop production and management (22 papers), Peanut Plant Research Studies (9 papers), Plant Genetic and Mutation Studies (9 papers), Plant responses to water stress (7 papers), Coconut Research and Applications (6 papers), Wheat and Barley Genetics and Pathology (6 papers) and Plant Virus Research Studies (5 papers). The work is most often cited by research in Agronomy and Crop Science (557 citations), Plant Science (1.8k citations), Genetics (514 citations), Horticulture (13 citations) and Soil Science (104 citations). Gloria Burow has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include John Burke, Zhanguo Xin, Cleve D. Franks, Nancy P. Keller, Ratan Chopra, Chad Hayes, Verónica Acosta‐Martínez, Mark D. Burow, Ming Li Wang and Teresa Nesbitt. Their work appears in journals such as Crop Science, G3 Genes Genomes Genetics, BioEnergy Research, Molecular Breeding and The Plant Genome.
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.