Pamela C. Ronald
- Plant Science top 0.01%
- Plant-Microbe Interactions and Immunity 123
- Plant Pathogenic Bacteria Studies 102
- Legume Nitrogen Fixing Symbiosis 59
- Plant Virus Research Studies 22
- Plant Disease Resistance and Genetics 21
- Chromosomal and Genetic Variations 19
- Horticulture top 1%
- Molecular Biology top 0.5%
- Plant tissue culture and regeneration 19
- Genomics and Phylogenetic Studies 18
- Genetics top 0.5%
- Cell Biology top 0.5%
- Co-authors
- Patrick E. CanlasMawsheng ChernJulia Bailey‐SerresTakeshi FukaoKenong XuAdam J. BogdanoveDavid Niño-LiuBenjamin Schwessinger
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Pamela C. Ronald
240 papers receiving 19.3k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Plant Science 17.2k
- Horticulture 107
- Molecular Biology 6.8k
- Genetics 2.2k
- Cell Biology 1.3k
Countries citing papers authored by Pamela C. Ronald
This map shows the geographic impact of Pamela C. Ronald'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 Pamela C. Ronald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela C. Ronald more than expected).
Fields of papers citing papers by Pamela C. Ronald
This network shows the impact of papers produced by Pamela C. Ronald. 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 Pamela C. Ronald. The network helps show where Pamela C. Ronald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pamela C. Ronald, 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 | 8 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 56 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 201 | |
| 7 | 2019 | 67 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 63 | |
| 10 | 2017 | 109 | |
| 11 | 2017 | 12 | |
| 12 | 2013 | 10 | |
| 13 | From seed to lab to farm: the story of Submergence tolerant rice | 2012 | 1 |
| 14 | 2012 | 96 | |
| 15 | 2012 | 7 | |
| 16 | Radically Rethinking Agriculture for the 21st Centurybreakdown → | 2010 | 531 |
| 17 | 2008 | 20 | |
| 18 | 2007 | 10 | |
| 19 | A Variable Cluster of Ethylene Response Factor–Like Genes Regulates Metabolic and Developmental Acclimation Responses to Submergence in Ricebreakdown → | 2006 | 555 |
| 20 | Xanthomonas oryzae pathovars: model pathogens of a model cropbreakdown → | 2006 | 700 |
About Pamela C. Ronald
Pamela C. Ronald is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 241 papers that have together received 20.0k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (123 papers), Plant Pathogenic Bacteria Studies (102 papers), Legume Nitrogen Fixing Symbiosis (59 papers), Plant Virus Research Studies (22 papers), Plant Disease Resistance and Genetics (21 papers), Plant tissue culture and regeneration (19 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Phylogenetic Studies (18 papers). The work is most often cited by research in Plant Science (17.2k citations), Horticulture (107 citations) and Molecular Biology (6.8k citations). Pamela C. Ronald has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Patrick E. Canlas, Mawsheng Chern, Julia Bailey‐Serres, Takeshi Fukao, Kenong Xu, Adam J. Bogdanove, David Niño-Liu, Benjamin Schwessinger, Heather A. Fitzgerald and Chang‐Jin Park. Their work appears in journals such as Nature, Science and Cell.
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.