Aaron P. White

2.5k total citations
61 papers, 1.9k citations indexed

About

Aaron P. White is a scholar working on Molecular Biology, Food Science and Endocrinology. According to data from OpenAlex, Aaron P. White has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 27 papers in Food Science and 23 papers in Endocrinology. Recurrent topics in Aaron P. White's work include Salmonella and Campylobacter epidemiology (26 papers), Bacteriophages and microbial interactions (17 papers) and Vibrio bacteria research studies (16 papers). Aaron P. White is often cited by papers focused on Salmonella and Campylobacter epidemiology (26 papers), Bacteriophages and microbial interactions (17 papers) and Vibrio bacteria research studies (16 papers). Aaron P. White collaborates with scholars based in Canada, China and United States. Aaron P. White's co-authors include Michael G. Surette, William W. Kay, Deanna L. Gibson, Wolfgang Köster, Keith D. MacKenzie, Wook Kim, Yejun Wang, Pamela A. Banser, S.Karen Collinson and Emma Allen‐Vercoe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Aaron P. White

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron P. White Canada 24 1.0k 661 653 347 334 61 1.9k
Prerak Desai United States 21 761 0.7× 621 0.9× 941 1.4× 294 0.8× 284 0.9× 53 2.0k
Xhavit Zogaj United States 12 1.1k 1.0× 519 0.8× 304 0.5× 313 0.9× 327 1.0× 15 1.8k
Shawn M. D. Bearson United States 29 965 0.9× 542 0.8× 1.0k 1.6× 335 1.0× 469 1.4× 76 2.5k
Helene Andrews‐Polymenis United States 27 870 0.8× 1.0k 1.5× 1.3k 2.1× 456 1.3× 353 1.1× 57 2.5k
Douglas L. Huseby Sweden 17 1.2k 1.1× 414 0.6× 681 1.0× 326 0.9× 393 1.2× 30 2.2k
Bradley L. Bearson United States 24 786 0.8× 644 1.0× 1.0k 1.6× 383 1.1× 437 1.3× 62 2.3k
Young Min Kwon United States 29 931 0.9× 243 0.4× 874 1.3× 311 0.9× 262 0.8× 90 2.3k
Juan Xicohtencatl‐Cortés Mexico 25 609 0.6× 1.1k 1.7× 385 0.6× 236 0.7× 221 0.7× 97 2.2k
Shabarinath Srikumar Ireland 18 600 0.6× 486 0.7× 609 0.9× 352 1.0× 266 0.8× 36 1.5k
Cristiano G. Moreira Brazil 18 1.0k 1.0× 801 1.2× 506 0.8× 170 0.5× 391 1.2× 35 2.0k

Countries citing papers authored by Aaron P. White

Since Specialization
Citations

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

Fields of papers citing papers by Aaron P. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron P. White. 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 Aaron P. White. The network helps show where Aaron P. White may publish in the future.

Co-authorship network of co-authors of Aaron P. White

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron P. White. A scholar is included among the top collaborators of Aaron P. White 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 Aaron P. White. Aaron P. White 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.
Sanderson, Haley, et al.. (2024). Plaseval: a framework for comparing and evaluating plasmid detection tools. BMC Bioinformatics. 25(1). 365–365.
2.
Sivaranjani, Murugesan, et al.. (2024). Microbiological analysis of tunneled hemodialysis catheters isolated from patients receiving hemodialysis in Saskatchewan. Future Microbiology. 19(13). 1129–1144. 1 indexed citations
3.
4.
Sanderson, Haley, et al.. (2023). Hybrid Genome Assemblies of 245 Avian and Broiler Barn Environment-Associated Escherichia coli Strains Isolated from Saskatchewan Broiler Farms. Microbiology Resource Announcements. 12(5). e0011023–e0011023. 2 indexed citations
5.
Sanderson, Haley, et al.. (2023). Identification of plasmids in avian-associated Escherichia coli using nanopore and illumina sequencing. BMC Genomics. 24(1). 698–698. 5 indexed citations
6.
Chen, Xiongbin, Zewei Chen, Jinjin Wu, et al.. (2022). Mosaic Evolution of Beta-Barrel-Porin-Encoding Genes in Escherichia coli. Applied and Environmental Microbiology. 88(7). e0006022–e0006022. 6 indexed citations
7.
8.
Sivaranjani, Murugesan, et al.. (2022). Purification of the Bacterial Amyloid “Curli” from Salmonella enterica Serovar Typhimurium and Detection of Curli from Infected Host Tissues. BIO-PROTOCOL. 12(10). e4419–e4419. 2 indexed citations
9.
Sivaranjani, Murugesan, Fangning Liu, & Aaron P. White. (2020). Synergistic activity of tetrasodium EDTA, ethanol and chlorhexidine hydrochloride against planktonic and biofilm cells of clinically relevant pathogens. Journal of Global Antimicrobial Resistance. 24. 148–157. 7 indexed citations
10.
Cotelesage, Julien J. H., et al.. (2020). Kinetic and structural analysis of Escherichia coli phosphoenolpyruvate carboxykinase mutants. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(4). 129517–129517. 6 indexed citations
11.
Miller, Amanda L., J. Alex Pasternak, Lauren K. Nicastro, et al.. (2020). In vivo synthesis of bacterial amyloid curli contributes to joint inflammation during S. Typhimurium infection. PLoS Pathogens. 16(7). e1008591–e1008591. 42 indexed citations
12.
Wang, Yejun, Xiongbin Chen, Yueming Hu, et al.. (2018). Evolution and Sequence Diversity of FhuA in Salmonella and Escherichia. Infection and Immunity. 86(11). 14 indexed citations
13.
Wang, Yejun, Keith D. MacKenzie, & Aaron P. White. (2015). An empirical strategy to detect bacterial transcript structure from directional RNA-seq transcriptome data. BMC Genomics. 16(1). 359–359. 8 indexed citations
14.
Wang, Yejun, Ming‐an Sun, Hongxia Bao, & Aaron P. White. (2013). T3_MM: A Markov Model Effectively Classifies Bacterial Type III Secretion Signals. PLoS ONE. 8(3). e58173–e58173. 39 indexed citations
15.
Allen‐Vercoe, Emma, Michelle C. Daigneault, Aaron P. White, et al.. (2012). Anaerostipes hadrus comb. nov., a dominant species within the human colonic microbiota; reclassification of Eubacterium hadrum Moore et al. 1976. Anaerobe. 18(5). 523–529. 82 indexed citations
16.
White, Aaron P., Aalim M. Weljie, Ping Zhang, et al.. (2010). A Global Metabolic Shift Is Linked to Salmonella Multicellular Development. PLoS ONE. 5(7). e11814–e11814. 62 indexed citations
17.
18.
Wang, Yejun, Yan Hou, He Huang, et al.. (2008). Two oral HBx vaccines delivered by live attenuated Salmonella: Both eliciting effective anti-tumor immunity. Cancer Letters. 263(1). 67–76. 20 indexed citations
19.
White, Aaron P., et al.. (2007). An efficient system for markerless gene replacement applicable in a wide variety of enterobacterial species. Canadian Journal of Microbiology. 53(1). 56–62. 16 indexed citations
20.
Sibley, Christopher D., Mary‐Louise McLaws, Sylvia Checkley, et al.. (2007). Persistence of Salmonella on Egg Conveyor Belts Is Dependent on the Belt Type but Not on the rdar Morphotype. Poultry Science. 86(11). 2375–2383. 25 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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