Pamela C. Ronald

36.8k total citations · 7 hit papers
241 papers, 20.0k citations indexed

About

Pamela C. Ronald is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Pamela C. Ronald has authored 241 papers receiving a total of 20.0k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Plant Science, 81 papers in Molecular Biology and 20 papers in Genetics. Recurrent topics in Pamela C. Ronald's work include Plant-Microbe Interactions and Immunity (123 papers), Plant Pathogenic Bacteria Studies (102 papers) and Legume Nitrogen Fixing Symbiosis (59 papers). Pamela C. Ronald is often cited by papers focused on Plant-Microbe Interactions and Immunity (123 papers), Plant Pathogenic Bacteria Studies (102 papers) and Legume Nitrogen Fixing Symbiosis (59 papers). Pamela C. Ronald collaborates with scholars based in United States, China and South Korea. Pamela C. Ronald's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Pamela C. Ronald

240 papers receiving 19.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Top 10 plant pathogenic bacteria in molecular plant pathology

2012 1.7k citations Pamela C. Ronald et al. profile →
Sub1A is an ethylene-response-factor-like gene that confers submergence tolerance to rice

2006 1.1k citations Kenong Xu, Takeshi Fukao et al. profile →
Saturated molecular map of the rice genome based on an interspecific backcross population.

1994 700 citations Pamela C. Ronald et al. profile →
Xanthomonas oryzae pathovars: model pathogens of a model crop

2006 700 citations Pamela C. Ronald et al. profile →
A Variable Cluster of Ethylene Response Factor–Like Genes Regulates Metabolic and Developmental Acclimation Responses to Submergence in Rice

2006 555 citations Takeshi Fukao, Kenong Xu et al. The Plant Cell profile →
Radically Rethinking Agriculture for the 21st Century

2010 531 citations Nina V. Fedoroff, David S. Battisti et al. Science profile →
A GRF–GIF chimeric protein improves the regeneration efficiency of transgenic plants

2020 384 citations María Florencia Ercoli, Pamela C. Ronald et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pamela C. Ronald United States	73	17.2k	6.8k	2.2k	1.3k	695	241	20.0k
C. Robin Buell United States	76	14.1k 0.8×	9.8k 1.4×	3.6k 1.7×	1.1k 0.9×	408 0.6×	249	19.2k
Richard G. F. Visser Netherlands	82	21.6k 1.3×	8.1k 1.2×	2.3k 1.1×	2.0k 1.6×	1.1k 1.6×	630	26.4k
Francesco Salamini Germany	76	16.3k 0.9×	7.8k 1.1×	2.5k 1.1×	1.1k 0.9×	314 0.5×	308	19.3k
Jan E. Leach United States	61	11.6k 0.7×	3.5k 0.5×	896 0.4×	1.8k 1.4×	388 0.6×	183	13.6k
Hirohiko Hirochika Japan	76	15.2k 0.9×	9.5k 1.4×	1.9k 0.9×	431 0.3×	556 0.8×	179	17.7k
Steven J. Rothstein Canada	69	10.6k 0.6×	7.3k 1.1×	1.1k 0.5×	523 0.4×	325 0.5×	164	14.0k
Jeffrey L. Bennetzen United States	79	18.7k 1.1×	12.1k 1.8×	4.7k 2.2×	743 0.6×	534 0.8×	221	23.1k
Richard W. Michelmore United States	66	17.3k 1.0×	6.8k 1.0×	3.3k 1.5×	1.9k 1.5×	161 0.2×	224	20.4k
William F. Thompson United States	49	13.3k 0.8×	10.3k 1.5×	3.3k 1.5×	1.3k 1.0×	334 0.5×	169	18.1k
Keith J. Edwards United Kingdom	53	11.5k 0.7×	5.6k 0.8×	4.1k 1.9×	758 0.6×	208 0.3×	133	14.7k

Countries citing papers authored by Pamela C. Ronald

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Pamela C. Ronald

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela C. Ronald. A scholar is included among the top collaborators of Pamela C. Ronald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pamela C. Ronald. Pamela C. Ronald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ercoli, María Florencia, Dee Dee Luu, Ellen Youngsoo Rim, et al.. (2022). Plant immunity: Rice XA21-mediated resistance to bacterial infection. Proceedings of the National Academy of Sciences. 119(8). 22 indexed citations

Taylor, Isaiah, Kevin Lehner, Yasemin Ozkan-Aydin, et al.. (2021). Mechanism and function of root circumnutation. Proceedings of the National Academy of Sciences. 118(8). 56 indexed citations

Lu, Yuming, Pamela C. Ronald, Bin Han, Jiayang Li, & Jian‐Kang Zhu. (2020). Rice Protein Tagging Project: A Call for International Collaborations on Genome-wide In-Locus Tagging of Rice Proteins. Molecular Plant. 13(12). 1663–1665. 12 indexed citations

Dong, Oliver Xiaoou, Shu Yu, Rashmi Jain, et al.. (2020). Marker-free carotenoid-enriched rice generated through targeted gene insertion using CRISPR-Cas9. Nature Communications. 11(1). 1178–1178. 201 indexed citations

Luu, Dee Dee, Anna Joe, Yan Chen, et al.. (2019). Biosynthesis and secretion of the microbial sulfated peptide RaxX and binding to the rice XA21 immune receptor. Proceedings of the National Academy of Sciences. 116(17). 8525–8534. 67 indexed citations

Caddell, Daniel, Tong Wei, Sweta Sharma Saha, et al.. (2018). Four tyrosine residues of the rice immune receptor XA21 are not required for interaction with the co-receptor OsSERK2 or resistance to Xanthomonas oryzae pv. oryzae. PeerJ. 6. e6074–e6074. 3 indexed citations

Thomas, Nicholas, Nir Oksenberg, Furong Liu, et al.. (2018). The rice XA21 ectodomain fused to the Arabidopsis EFR cytoplasmic domain confers resistance to Xanthomonas oryzae pv. oryzae. PeerJ. 6. e4456–e4456. 16 indexed citations

Pruitt, Rory N., Anna Joe, Weiguo Zhang, et al.. (2017). A microbially derived tyrosine‐sulfated peptide mimics a plant peptide hormone. New Phytologist. 215(2). 725–736. 63 indexed citations

Li, Guotian, Rashmi Jain, Mawsheng Chern, et al.. (2017). The Sequences of 1504 Mutants in the Model Rice Variety Kitaake Facilitate Rapid Functional Genomic Studies. The Plant Cell. 29(6). 1218–1231. 109 indexed citations

10.

Thomas, Nicholas, Benjamin Schwessinger, Furong Liu, et al.. (2016). XA21-specific induction of stress-related genes following Xanthomonas infection of detached rice leaves. PeerJ. 4. e2446–e2446. 7 indexed citations

11.

Holton, Nicholas, Vladimir Nekrasov, Pamela C. Ronald, & Cyril Zipfel. (2015). The Phylogenetically-Related Pattern Recognition Receptors EFR and XA21 Recruit Similar Immune Signaling Components in Monocots and Dicots. PLoS Pathogens. 11(1). e1004602–e1004602. 76 indexed citations

12.

Schwessinger, Benjamin, Ofir Bahar, Nicolas Thomas, et al.. (2015). Transgenic Expression of the Dicotyledonous Pattern Recognition Receptor EFR in Rice Leads to Ligand-Dependent Activation of Defense Responses. PLoS Pathogens. 11(3). e1004809–e1004809. 90 indexed citations

13.

Bahar, Ofir, Rory N. Pruitt, Dee Dee Luu, et al.. (2014). The Xanthomonas Ax21 protein is processed by the general secretory system and is secreted in association with outer membrane vesicles. PeerJ. 2. e242–e242. 45 indexed citations

14.

Song, Min‐Young, Chi‐Yeol Kim, Muho Han, et al.. (2013). Differential Requirement of Oryza sativa RAR1 in Immune Receptor-Mediated Resistance of Rice to Magnaporthe oryzae. Molecules and Cells. 35(4). 327–334. 10 indexed citations

15.

Dardick, Chris, Benjamin Schwessinger, & Pamela C. Ronald. (2012). Non-arginine-aspartate (non-RD) kinases are associated with innate immune receptors that recognize conserved microbial signatures. Current Opinion in Plant Biology. 15(4). 358–366. 96 indexed citations

16.

Varanasi, Patanjali, David M. Larson, Rita Sharma, et al.. (2012). Mechanical Stress Analysis as a Method to Understand the Impact of Genetically Engineered Rice and Arabidopsis Plants. Industrial Biotechnology. 8(4). 238–244. 7 indexed citations

17.

Ronald, Pamela C.. (2012). From seed to lab to farm: the story of Submergence tolerant rice. 1 indexed citations

18.

Fedoroff, Nina V., David S. Battisti, Roger N. Beachy, et al.. (2010). Radically Rethinking Agriculture for the 21st Century. Science. 327(5967). 833–834. 531 indexed citations breakdown →

19.

Park, Chang-Jin, et al.. (2008). An efficient method for visualization and growth of fluorescent Xanthomonas oryzae pv. oryzae in planta. BMC Microbiology. 8(1). 164–164. 20 indexed citations

20.

Fukao, Takeshi, Kenong Xu, Pamela C. Ronald, & Julia Bailey‐Serres. (2006). A Variable Cluster of Ethylene Response Factor–Like Genes Regulates Metabolic and Developmental Acclimation Responses to Submergence in Rice. The Plant Cell. 18(8). 2021–2034. 555 indexed citations breakdown →

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.

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