Greg D. May
Impact in
- Horticulture top 5%
- Plant Science top 5%
- Plant Molecular Biology Research
- Genetic and Environmental Crop Studies
- Chromosomal and Genetic Variations
- Soybean genetics and cultivation
- Phytoplasmas and Hemiptera pathogens
- Plant Stress Responses and Tolerance
Papers in
-
- Plant Molecular Biology Research 4
- Genetic and Environmental Crop Studies 3
- Seed Germination and Physiology 1
- Plant Disease Resistance and Genetics 1
- Soybean genetics and cultivation 1
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Andrew D Farmer (5 shared papers)Gary S. Stacey (2 shared papers)Marc Libault (2 shared papers)Paul Livermore Auer (1 shared paper)Anne C. Roulin (1 shared paper)Rebecca W. Doerge (1 shared paper)Scott A. Jackson (2 shared papers)Jessica Ann Schlueter (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Pathogens (1 paper)DNA Research (1 paper)PLANT PHYSIOLOGY (1 paper)American Journal of Botany (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Greg D. May
12 papers receiving 813 citations
Peers
Comparison fields: 5 of 45
- Horticulture 20
- Plant Science 646
- Genetics 87
- Biochemistry 15
- Molecular Biology 142
Countries citing papers authored by Greg D. May
This map shows the geographic impact of Greg D. May'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 Greg D. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg D. May more than expected).
Fields of papers citing papers by Greg D. May
This network shows the impact of papers produced by Greg D. May. 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 Greg D. May. The network helps show where Greg D. May may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg D. May, 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 | 2012 | 249 | |
| 2 | 2011 | 138 | |
| 3 | 2011 | 124 | |
| 4 | 2010 | 118 | |
| 5 | 2012 | 47 | |
| 6 | 2009 | 44 | |
| 7 | 2014 | 44 | |
| 8 | 2014 | 40 | |
| 9 | 2015 | 29 | |
| 10 | 2010 | 7 | |
| 11 | 2005 | 2 | |
| 12 | Genome Resources For Cowpea Genotype IT97K-499-35 | 2011 | 2 |
About Greg D. May
Greg D. May is a scholar working on Plant Science, Genetics, Horticulture, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 844 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and Environmental Crop Studies (3 papers), Seed Germination and Physiology (1 paper), Plant Disease Resistance and Genetics (1 paper), Soybean genetics and cultivation (1 paper), Plant Taxonomy and Phylogenetics (1 paper) and Cocoa and Sweet Potato Agronomy (1 paper). The work is most often cited by research in Horticulture (20 citations), Plant Science (646 citations), Genetics (87 citations), Biochemistry (15 citations) and Molecular Biology (142 citations). Greg D. May has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Andrew D Farmer, Gary S. Stacey, Marc Libault, Paul Livermore Auer, Anne C. Roulin, Rebecca W. Doerge, Scott A. Jackson, Jessica Ann Schlueter, W. Brad Barbazuk and Zhihong Song. Their work appears in journals such as BMC Bioinformatics, Pathogens, DNA Research, PLANT PHYSIOLOGY and American Journal of Botany.
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.