Marcy Main
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Plant Genetic and Mutation Studies
- Plant Molecular Biology Research
Papers in
-
- Plant tissue culture and regeneration 7
- CRISPR and Genetic Engineering 4
- Genomics, phytochemicals, and oxidative stress 1
-
- Chromosomal and Genetic Variations 4
- Plant Virus Research Studies 1
- Plant Genetic and Mutation Studies 1
- Co-authors
- Kan Wang (7 shared papers)Bronwyn Frame (6 shared papers)Martin H. Spalding (2 shared papers)Si Nian Char (2 shared papers)Bing Yang (2 shared papers)Philip W. Becraft (1 shared paper)Anjanasree K. Neelakandan (1 shared paper)Virginia Walbot (1 shared paper)
- Journals
- Plant Biotechnology Journal (2 papers)Journal of Applied Entomology (1 paper)Plant Cell Reports (1 paper)Plant Molecular Biology (1 paper)Methods in molecular biology (3 papers)
- Partner nations
- United States
In The Last Decade
Marcy Main
8 papers receiving 584 citations
Peers
Comparison fields: 5 of 46
- Business and International Management 30
- Plant Science 469
- Biotechnology 103
- Aging 17
- Molecular Biology 494
Countries citing papers authored by Marcy Main
This map shows the geographic impact of Marcy Main'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 Marcy Main with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcy Main more than expected).
Fields of papers citing papers by Marcy Main
This network shows the impact of papers produced by Marcy Main. 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 Marcy Main. The network helps show where Marcy Main may publish in the future.
Co-authors
The 23 scholars most cited alongside Marcy Main, 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 | 2016 | 230 | |
| 2 | 2006 | 113 | |
| 3 | 2015 | 86 | |
| 4 | 2014 | 67 | |
| 5 | 2010 | 61 | |
| 6 | 2019 | 38 | |
| 7 | 2014 | 10 | |
| 8 | 2014 | 9 |
About Marcy Main
Marcy Main is a scholar working on Molecular Biology, Plant Science, Biotechnology, Insect Science and Infectious Diseases, having authored 8 papers that have together received 614 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (7 papers), Transgenic Plants and Applications (4 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (4 papers), Plant Virus Research Studies (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Insect-Plant Interactions and Control (1 paper) and Plant Genetic and Mutation Studies (1 paper). The work is most often cited by research in Business and International Management (30 citations), Plant Science (469 citations), Biotechnology (103 citations), Aging (17 citations) and Molecular Biology (494 citations). Marcy Main has collaborated with scholars based in United States. Frequent co-authors include Kan Wang, Bronwyn Frame, Martin H. Spalding, Si Nian Char, Bing Yang, Philip W. Becraft, Anjanasree K. Neelakandan, Virginia Walbot, Hartinio Natalia Nahampun and Blake C. Meyers. Their work appears in journals such as Plant Biotechnology Journal, Journal of Applied Entomology, Plant Cell Reports, Plant Molecular Biology and Methods in molecular biology.
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.