Gwyn A. Beattie

4.6k total citations · 1 hit paper
62 papers, 3.0k citations indexed

About

Gwyn A. Beattie is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Gwyn A. Beattie has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 19 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Gwyn A. Beattie's work include Plant Pathogenic Bacteria Studies (33 papers), Plant-Microbe Interactions and Immunity (26 papers) and Legume Nitrogen Fixing Symbiosis (20 papers). Gwyn A. Beattie is often cited by papers focused on Plant Pathogenic Bacteria Studies (33 papers), Plant-Microbe Interactions and Immunity (26 papers) and Legume Nitrogen Fixing Symbiosis (20 papers). Gwyn A. Beattie collaborates with scholars based in United States, France and Switzerland. Gwyn A. Beattie's co-authors include Steven E. Lindow, Hassan Etesami, Chiliang Chen, Larry J. Halverson, Jo Handelsman, Xilan Yu, Gary L. Andersen, Liang Wu, Dan Nettleton and Steven P. Lund and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Applied and Environmental Microbiology.

In The Last Decade

Gwyn A. Beattie

60 papers receiving 2.9k citations

Hit Papers

Mining Halophytes for Plant Growth-Promoting Halotolerant... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Mining Halophytes for Plant Growth-Promoting Halotolerant Bacteria to Enhance the Salinity Tolerance of Non-halophytic Crops
    2018 306 citations Gwyn A. Beattie et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwyn A. Beattie United States 31 2.3k 764 407 362 212 62 3.0k
Jessy Labbé United States 27 1.7k 0.7× 799 1.0× 434 1.1× 362 1.0× 237 1.1× 61 2.4k
Mitja N. P. Remus‐Emsermann New Zealand 21 1.5k 0.7× 869 1.1× 289 0.7× 565 1.6× 186 0.9× 46 2.5k
Paulo José Pereira Lima Teixeira United States 26 2.6k 1.1× 996 1.3× 344 0.8× 288 0.8× 107 0.5× 46 3.2k
Robert N. Trigiano United States 26 1.8k 0.8× 1.1k 1.4× 564 1.4× 247 0.7× 481 2.3× 201 2.5k
Eric Kemen Germany 28 3.4k 1.5× 1.1k 1.5× 944 2.3× 545 1.5× 273 1.3× 45 4.0k
Kurt LaButti United States 26 1.1k 0.5× 831 1.1× 506 1.2× 287 0.8× 196 0.9× 66 1.9k
Andrea Ficke Norway 17 1.5k 0.7× 304 0.4× 459 1.1× 239 0.7× 163 0.8× 31 2.0k
Katharina Pawlowski Sweden 35 3.3k 1.4× 783 1.0× 132 0.3× 277 0.8× 217 1.0× 125 3.7k

Countries citing papers authored by Gwyn A. Beattie

Since Specialization
Citations

This map shows the geographic impact of Gwyn A. Beattie'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 Gwyn A. Beattie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwyn A. Beattie more than expected).

Fields of papers citing papers by Gwyn A. Beattie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwyn A. Beattie. 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 Gwyn A. Beattie. The network helps show where Gwyn A. Beattie may publish in the future.

Co-authorship network of co-authors of Gwyn A. Beattie

This figure shows the co-authorship network connecting the top 25 collaborators of Gwyn A. Beattie. A scholar is included among the top collaborators of Gwyn A. Beattie 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 Gwyn A. Beattie. Gwyn A. Beattie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Beattie, Gwyn A., et al.. (2024). First Report of Cucurbit Yellow Vine Disease Caused by Serratia marcescens on Cucurbit Crops in Iowa. Plant Disease. 108(4). 1093–1093. 4 indexed citations
4.
Sharma, Parul, Tiffany M. Lowe‐Power, Reza Mazloom, et al.. (2024). Genotypic and Phenotypic Analyses Show Ralstonia solanacearum Cool Virulence Is a Quantitative Trait Not Restricted to “Race 3 Biovar 2”. Phytopathology. 114(12). 2468–2480. 1 indexed citations
5.
Xiang, Lin, et al.. (2024). Structure and mechanism of the osmoregulated choline transporter BetT. Science Advances. 10(33). eado6229–eado6229. 8 indexed citations
6.
Beattie, Gwyn A., Anna Edlund, Nwadiuto Esiobu, et al.. (2024). Soil microbiome interventions for carbon sequestration and climate mitigation. mSystems. 10(1). e0112924–e0112924. 12 indexed citations
7.
Souza, Pedro Filho Noronha, Patrick von Aderkas, Christoph H. Borchers, et al.. (2022). Ornamental tobacco floral nectar is a rich source of antimicrobial peptides. Plant Science. 324. 111427–111427. 6 indexed citations
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Leandro, L. F. S., et al.. (2018). Cropping System Diversification Reduces Severity and Incidence of Soybean Sudden Death Syndrome Caused by Fusarium virguliforme. Plant Disease. 102(9). 1748–1758. 37 indexed citations
10.
Shapiro, Lori R., Erin D. Scully, Timothy J. Straub, et al.. (2015). Draft Genome Sequence of Erwinia tracheiphila, an Economically Important Bacterial Pathogen of Cucurbits. Genome Announcements. 3(3). 13 indexed citations
11.
Chen, Chiliang, et al.. (2013). The widespread plant‐colonizing bacterial species P seudomonas syringae detects and exploits an extracellular pool of choline in hosts. The Plant Journal. 75(6). 891–902. 27 indexed citations
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Halverson, Larry J., et al.. (2008). Identification and Genetic Characterization of Phenol-Degrading Bacteria from Leaf Microbial Communities. Microbial Ecology. 57(2). 276–285. 52 indexed citations
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Beattie, Gwyn A., et al.. (2004). Pseudomonas syringae pv. tomato cells encounter inhibitory levels of water stress during the hypersensitive response of Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 101(9). 3269–3274. 98 indexed citations
15.
Casavant, N. Carol, et al.. (2003). Use of a site‐specific recombination‐based biosensor for detecting bioavailable toluene and related compounds on roots. Environmental Microbiology. 5(4). 238–249. 48 indexed citations
16.
Beattie, Gwyn A., et al.. (2002). Construction and Characterization of a proU - gfp Transcriptional Fusion That Measures Water Availability in a Microbial Habitat. Applied and Environmental Microbiology. 68(9). 4604–4612. 81 indexed citations
17.
Beattie, Gwyn A. & Steven E. Lindow. (1999). Bacterial Colonization of Leaves: A Spectrum of Strategies. Phytopathology. 89(5). 353–359. 281 indexed citations
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Beattie, Gwyn A. & Steven E. Lindow. (1995). The Secret Life of Foliar Bacterial Pathogens on Leaves. Annual Review of Phytopathology. 33(1). 145–172. 254 indexed citations
19.
Beattie, Gwyn A. & S. E. Lindow. (1994). Epiphytic Fitness of Phytopathogenic Bacteria: Physiological Adaptations for Growth and Survival. Current topics in microbiology and immunology. 192. 1–27. 25 indexed citations
20.
Beattie, Gwyn A., Murray K. Clayton, & Jo Handelsman. (1989). Quantitative comparison of the laboratory and field competitiveness of Rhizobium leguminosarum biovar phaseoli. Applied and Environmental Microbiology. 55(11). 2755–2761. 60 indexed citations

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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