Bryan Swingle

1.2k total citations
40 papers, 882 citations indexed

About

Bryan Swingle is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Bryan Swingle has authored 40 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 10 papers in Cell Biology and 8 papers in Molecular Biology. Recurrent topics in Bryan Swingle's work include Plant Pathogenic Bacteria Studies (32 papers), Plant-Microbe Interactions and Immunity (22 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). Bryan Swingle is often cited by papers focused on Plant Pathogenic Bacteria Studies (32 papers), Plant-Microbe Interactions and Immunity (22 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). Bryan Swingle collaborates with scholars based in United States, China and France. Bryan Swingle's co-authors include Eric Markel, Samuel W. Cartinhour, Paul Stodghill, Zhongmeng Bao, Hai‐Lei Wei, Christopher R. Myers, Alan Collmer, Suma Chakravarthy, Alan Chambers and David J. Schneider and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Bryan Swingle

39 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Swingle United States 16 571 319 182 119 101 40 882
Bridget E. Laue United Kingdom 13 433 0.8× 353 1.1× 117 0.6× 126 1.1× 130 1.3× 14 709
C. Korsi Dumenyo United States 17 706 1.2× 441 1.4× 209 1.1× 110 0.9× 75 0.7× 35 1.1k
U. F. Walsh Ireland 6 398 0.7× 283 0.9× 124 0.7× 82 0.7× 46 0.5× 7 638
Subhadeep Chatterjee India 23 1.3k 2.3× 472 1.5× 117 0.6× 77 0.6× 115 1.1× 37 1.6k
Carrie Selin Canada 14 565 1.0× 285 0.9× 51 0.3× 61 0.5× 152 1.5× 23 760
Doris R. Majerczak United States 15 678 1.2× 303 0.9× 133 0.7× 59 0.5× 57 0.6× 18 899
Derek W. Wood United States 12 642 1.1× 676 2.1× 285 1.6× 127 1.1× 54 0.5× 12 1.1k
Jeffrey L. Ried United States 10 664 1.2× 329 1.0× 139 0.8× 78 0.7× 36 0.4× 11 937
Yaya Cui United States 23 1.1k 2.0× 733 2.3× 372 2.0× 188 1.6× 53 0.5× 34 1.6k
Martine Lautier France 14 637 1.1× 435 1.4× 129 0.7× 121 1.0× 46 0.5× 21 1.1k

Countries citing papers authored by Bryan Swingle

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Swingle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Swingle. 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 Bryan Swingle. The network helps show where Bryan Swingle may publish in the future.

Co-authorship network of co-authors of Bryan Swingle

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Swingle. A scholar is included among the top collaborators of Bryan Swingle 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 Bryan Swingle. Bryan Swingle 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
1.
Helmann, Tyler C., Maël Baudin, Karl J. Schreiber, et al.. (2025). Genome-wide identification of novel flagellar motility genes in Pseudomonas syringae pv. tomato DC3000. Frontiers in Microbiology. 16. 1535114–1535114.
2.
Xu, Chunyan, Haixia Gao, Qing Han, et al.. (2024). First report of Fusarium redolens causing root rot of Goji berry cv. ‘Ningqi‐7’ in China. Journal of Phytopathology. 172(2). 1 indexed citations
3.
Kvitko, Brian H., et al.. (2024). Environmental alkalization suppresses deployment of virulence strategies in Pseudomonas syringae pv. tomato DC3000. Journal of Bacteriology. 206(11). e0008624–e0008624. 1 indexed citations
4.
Stodghill, Paul, et al.. (2024). Analysis of soft rot Pectobacteriaceae population diversity in US potato growing regions between 2015 and 2022. Frontiers in Microbiology. 15. 1403121–1403121. 1 indexed citations
5.
Ma, Xiang, et al.. (2023). First Report of Pectobacterium brasiliense Causing Bacterial Blackleg and Soft Rot of Potato in Pennsylvania. Plant Disease. 107(8). 2512–2512. 3 indexed citations
6.
7.
Wang, Jizeng, Bryan Swingle, Jingsheng Xu, et al.. (2022). First Report of Rhizopus arrhizus (syn. R. oryzae) Causing Garlic Bulb Soft Rot in Hebei Province, China. Plant Disease. 107(3). 949–949. 9 indexed citations
8.
Bao, Zhongmeng, et al.. (2019). Pseudomonas syringae AlgU Downregulates Flagellin Gene Expression, Helping Evade Plant Immunity. Journal of Bacteriology. 202(4). 25 indexed citations
9.
Butcher, Bronwyn G., Zhongmeng Bao, Janet M. Wilson, et al.. (2017). The ECF sigma factor, PSPTO_1043, in Pseudomonas syringae pv. tomato DC3000 is induced by oxidative stress and regulates genes involved in oxidative stress response. PLoS ONE. 12(7). e0180340–e0180340. 3 indexed citations
10.
Clarke, Christopher R., Byron W. Hayes, Brendan J. Runde, et al.. (2016). Comparative genomics of Pseudomonas syringae pathovar tomato reveals novel chemotaxis pathways associated with motility and plant pathogenicity. PeerJ. 4. e2570–e2570. 20 indexed citations
11.
Wei, Hai‐Lei, Suma Chakravarthy, Johannes Mathieu, et al.. (2015). Pseudomonas syringae pv. tomato DC3000 Type III Secretion Effector Polymutants Reveal an Interplay between HopAD1 and AvrPtoB. Cell Host & Microbe. 17(6). 752–762. 95 indexed citations
12.
Chakravarthy, Suma, Hai‐Lei Wei, Hoang C.B. Nguyen, et al.. (2014). Global Analysis of the HrpL Regulon in the Plant Pathogen Pseudomonas syringae pv. tomato DC3000 Reveals New Regulon Members with Diverse Functions. PLoS ONE. 9(8). e106115–e106115. 43 indexed citations
13.
Bao, Zhongmeng, Paul Stodghill, Christopher R. Myers, et al.. (2014). Genomic Plasticity Enables Phenotypic Variation of Pseudomonas syringae pv. tomato DC3000. PLoS ONE. 9(2). e86628–e86628. 11 indexed citations
14.
Swingle, Bryan. (2014). RecTEPsy-Mediated Recombineering in Pseudomonas syringae. Methods in molecular biology. 1114. 3–10. 4 indexed citations
15.
Swingle, Bryan. (2013). Oligonucleotide Recombination Enabled Site-Specific Mutagenesis in Bacteria. Methods in molecular biology. 978. 127–132. 1 indexed citations
16.
Bao, Zhongmeng, Sam Cartinhour, & Bryan Swingle. (2012). Substrate and Target Sequence Length Influence RecTEPsy Recombineering Efficiency in Pseudomonas syringae. PLoS ONE. 7(11). e50617–e50617. 16 indexed citations
17.
Wu, Shu-Jing, Dongping Lu, Mehdi Kabbage, et al.. (2011). Bacterial Effector HopF2 Suppresses Arabidopsis Innate Immunity at the Plasma Membrane. Molecular Plant-Microbe Interactions. 24(5). 585–593. 44 indexed citations
18.
Swingle, Bryan, Eric Markel, & Samuel W. Cartinhour. (2010). Oligonucleotide recombination: A hidden treasure. PubMed. 1(4). 265–268. 8 indexed citations
19.
Solaiman, Daniel K. Y. & Bryan Swingle. (2009). Isolation of novel Pseudomonas syringae promoters and functional characterization in polyhydroxyalkanoate-producing pseudomonads. New Biotechnology. 27(1). 1–9. 12 indexed citations
20.
Swingle, Bryan, Eric Markel, Nina Costantino, et al.. (2009). Oligonucleotide recombination in Gram-negative bacteria. Molecular Microbiology. 75(1). 138–148. 67 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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