Amanda J. Deering

1.2k total citations
44 papers, 944 citations indexed

About

Amanda J. Deering is a scholar working on Food Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Amanda J. Deering has authored 44 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 16 papers in Biotechnology and 10 papers in Molecular Biology. Recurrent topics in Amanda J. Deering's work include Listeria monocytogenes in Food Safety (16 papers), Biosensors and Analytical Detection (8 papers) and Salmonella and Campylobacter epidemiology (5 papers). Amanda J. Deering is often cited by papers focused on Listeria monocytogenes in Food Safety (16 papers), Biosensors and Analytical Detection (8 papers) and Salmonella and Campylobacter epidemiology (5 papers). Amanda J. Deering collaborates with scholars based in United States, Peru and Czechia. Amanda J. Deering's co-authors include Lisa J. Mauer, Robert E. Pruitt, Reeta Davis, Ashley N. Hiatt, А. Л. Чернышова, Jun Chang, Bradley L. Reuhs, José E. Aguilar-Toalá, Andrea M. Liceaga and Jianming Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Amanda J. Deering

41 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda J. Deering United States 17 425 333 231 180 158 44 944
Jinsong Feng China 17 321 0.8× 304 0.9× 161 0.7× 246 1.4× 64 0.4× 52 879
Yhan S. Mutz Brazil 16 277 0.7× 114 0.3× 196 0.8× 132 0.7× 88 0.6× 49 797
Kumar Mallikarjunan United States 21 666 1.6× 289 0.9× 231 1.0× 172 1.0× 442 2.8× 59 1.6k
Deog Hwan Oh South Korea 19 452 1.1× 663 2.0× 401 1.7× 457 2.5× 179 1.1× 48 1.5k
Peter Muranyi Germany 20 379 0.9× 169 0.5× 348 1.5× 148 0.8× 252 1.6× 40 1.2k
Timothy J. Herrman United States 22 443 1.0× 385 1.2× 133 0.6× 363 2.0× 498 3.2× 77 1.6k
Duck‐Hwa Chung South Korea 20 398 0.9× 601 1.8× 239 1.0× 465 2.6× 700 4.4× 77 1.5k
Abigail B. Snyder United States 17 479 1.1× 228 0.7× 296 1.3× 76 0.4× 191 1.2× 54 903
Fabio Granados-Chinchilla Costa Rica 13 252 0.6× 218 0.7× 66 0.3× 120 0.7× 215 1.4× 37 929
Matthew J. Stasiewicz United States 20 1.1k 2.5× 336 1.0× 1.2k 5.1× 152 0.8× 228 1.4× 63 1.6k

Countries citing papers authored by Amanda J. Deering

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. Deering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda J. Deering. 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 Amanda J. Deering. The network helps show where Amanda J. Deering may publish in the future.

Co-authorship network of co-authors of Amanda J. Deering

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda J. Deering. A scholar is included among the top collaborators of Amanda J. Deering 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 Amanda J. Deering. Amanda J. Deering 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.
2.
Deering, Amanda J., et al.. (2025). Effect of netting density on the efficacy of produce washing solutions in reducing foodborne pathogenic bacteria from cantaloupe rinds. Food Microbiology. 131. 104806–104806. 1 indexed citations
3.
Buckley, D. A. H., et al.. (2025). Evaluation of commercially available produce antimicrobial washes to improve the quality and microbial safety of fresh produce. International Journal of Food Microbiology. 441. 111318–111318.
4.
Torres, Ariana P., et al.. (2024). Safe, sustainable, and nutritious food labels: A market segmentation of fresh vegetables consumers. Food Control. 165. 110654–110654. 3 indexed citations
5.
Deering, Amanda J., et al.. (2024). Minimizing Escherichia coli O157:H7 contamination in indoor farming: effects of cultivar type and ultra‐violet light quality. Journal of the Science of Food and Agriculture. 104(7). 4218–4225. 1 indexed citations
6.
Shaw, Angela, et al.. (2024). Comparing the effectiveness of delivery style in produce safety training for growers. Journal of Food Science. 89(7). 4551–4562.
7.
Wang, Zhijian, Xiaoyu Ji, Amanda J. Deering, et al.. (2024). Application of a dual-modality colorimetric analysis method to inkjet printing lateral flow detection of Salmonella typhimurium. Microchimica Acta. 191(9). 559–559. 7 indexed citations
8.
Reibman, Amy R., et al.. (2023). Robust hand hygiene monitoring for food safety using hand images. Electronic Imaging. 35(7). 275–1. 2 indexed citations
9.
10.
Oliver, Haley F., et al.. (2021). Occurrence of Chemical Contaminants in Peruvian Produce: A Food-Safety Perspective. Foods. 10(7). 1461–1461. 13 indexed citations
11.
Wang, Yiju, Amanda J. Deering, & Hye‐Ji Kim. (2021). Effects of Plant Age and Root Damage on Internalization of Shiga Toxin-Producing Escherichia coli in Leafy Vegetables and Herbs. Horticulturae. 7(4). 68–68. 9 indexed citations
12.
Deering, Amanda J., et al.. (2021). Development of a smartphone-based lateral-flow imaging system using machine-learning classifiers for detection of Salmonella spp.. Journal of Microbiological Methods. 188. 106288–106288. 34 indexed citations
13.
Aguilar-Toalá, José E., Amanda J. Deering, & Andrea M. Liceaga. (2020). New Insights into the Antimicrobial Properties of Hydrolysates and Peptide Fractions Derived from Chia Seed (Salvia hispanica L.). Probiotics and Antimicrobial Proteins. 12(4). 1571–1581. 55 indexed citations
14.
Ku, Seockmo, Eduardo Ximenes, Thomas Kreke, et al.. (2019). Microbial enrichment and multiplexed microfiltration for accelerated detection of Salmonella in spinach. Biotechnology Progress. 35(6). e2874–e2874. 9 indexed citations
15.
Li, Jianming, et al.. (2017). Thymol nanoemulsions formed via spontaneous emulsification: Physical and antimicrobial properties. Food Chemistry. 232. 191–197. 65 indexed citations
16.
Oliver, Haley F., et al.. (2017). Listeria monocytogenes Internalizes in Romaine Lettuce Grown in Greenhouse Conditions. Journal of Food Protection. 80(4). 573–581. 20 indexed citations
17.
Fu, Yezhi, Amanda J. Deering, Arun K. Bhunia, & Yuan Yao. (2017). Biofilm of Escherichia coli O157:H7 on cantaloupe surface is resistant to lauroyl arginate ethyl and sodium hypochlorite. International Journal of Food Microbiology. 260. 11–16. 21 indexed citations
18.
Ku, Seockmo, Xuan Li, Xingya Liu, et al.. (2015). Accelerating sample preparation through enzyme‐assisted microfiltration of Salmonella in chicken extract. Biotechnology Progress. 31(6). 1551–1562. 21 indexed citations
19.
Davis, Reeta, et al.. (2011). Differentiation of live, dead and treated cells of Escherichia coli O157:H7 using FT-IR spectroscopy. Journal of Applied Microbiology. 112(4). 743–751. 18 indexed citations
20.
Mauer, Lisa J., А. Л. Чернышова, Ashley N. Hiatt, Amanda J. Deering, & Reeta Davis. (2009). Melamine Detection in Infant Formula Powder Using Near- and Mid-Infrared Spectroscopy. Journal of Agricultural and Food Chemistry. 57(10). 3974–3980. 232 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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