Ann E. Meyers
Impact in
- Biotechnology top 0.5%
- Transgenic Plants and Applications
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Transgenic Plants and Applications 28
- Virology 10
- HIV Research and Treatment 10
- Co-authors
- Edward P. Rybicki (44 shared papers)Anna‐Lise Williamson (21 shared papers)Inga Isabel Hitzeroth (12 shared papers)Rosamund E. Chapman (13 shared papers)Emmanuel Margolin (11 shared papers)George P. Lomonossoff (3 shared papers)Enid Shephard (8 shared papers)Eva C. Thuenemann (2 shared papers)
- Journals
- Frontiers in Plant Science (6 papers)Virus Research (4 papers)Plant Biotechnology Journal (4 papers)BMC Biotechnology (3 papers)Journal of Applied Phycology (2 papers)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Ann E. Meyers
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Biotechnology 716
- Biophysics 171
- Virology 96
- Immunology 351
- Infectious Diseases 302
Countries citing papers authored by Ann E. Meyers
This map shows the geographic impact of Ann E. Meyers'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 Ann E. Meyers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann E. Meyers more than expected).
Fields of papers citing papers by Ann E. Meyers
This network shows the impact of papers produced by Ann E. Meyers. 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 Ann E. Meyers. The network helps show where Ann E. Meyers may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann E. Meyers, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 352 | |
| 2 | 2017 | 177 | |
| 3 | 2013 | 126 | |
| 4 | 2008 | 85 | |
| 5 | 2018 | 65 | |
| 6 | 2013 | 58 | |
| 7 | 2019 | 57 | |
| 8 | 2020 | 54 | |
| 9 | 2020 | 44 | |
| 10 | 2012 | 42 | |
| 11 | 2009 | 41 | |
| 12 | 2014 | 39 | |
| 13 | 2022 | 38 | |
| 14 | 2017 | 32 | |
| 15 | 2018 | 31 | |
| 16 | 2019 | 29 | |
| 17 | 2009 | 28 | |
| 18 | 2017 | 27 | |
| 19 | 2013 | 27 | |
| 20 | 2021 | 26 |
About Ann E. Meyers
Ann E. Meyers is a scholar working on Biotechnology, Virology, Ecology, Evolution, Behavior and Systematics, Immunology and Plant Science, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (28 papers), Plant Virus Research Studies (17 papers), Vector-Borne Animal Diseases (15 papers), HIV Research and Treatment (10 papers), Toxin Mechanisms and Immunotoxins (9 papers), Animal Disease Management and Epidemiology (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Biotechnology (716 citations), Biophysics (171 citations), Virology (96 citations), Immunology (351 citations) and Infectious Diseases (302 citations). Ann E. Meyers has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Edward P. Rybicki, Anna‐Lise Williamson, Inga Isabel Hitzeroth, Rosamund E. Chapman, Emmanuel Margolin, George P. Lomonossoff, Enid Shephard, Eva C. Thuenemann, Yulii A. Labas and Mikhail V. Matz. Their work appears in journals such as Frontiers in Plant Science, Virus Research, Plant Biotechnology Journal, BMC Biotechnology and Journal of Applied Phycology.
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.