Amanda J. Deering

56 total papers · 1.2k total citations
44 papers, 934 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 934 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 907 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amanda J. Deering 421 329 231 180 157 44 934
Pengcheng Dong 460 1.1× 364 1.1× 214 0.9× 208 1.2× 76 0.5× 59 1.2k
Jinsong Feng 313 0.7× 301 0.9× 158 0.7× 244 1.4× 59 0.4× 52 853
G. L. Pettipher 366 0.9× 319 1.0× 367 1.6× 282 1.6× 165 1.1× 30 1.1k
Byron F. Brehm‐Stecher 284 0.7× 460 1.4× 148 0.6× 371 2.1× 107 0.7× 37 1.2k
Jian Yuan 339 0.8× 514 1.6× 95 0.4× 171 0.9× 187 1.2× 53 1.2k
Yiqiang Ge 336 0.8× 552 1.7× 85 0.4× 198 1.1× 246 1.6× 48 1.1k
MYRON SOLBERG 364 0.9× 187 0.6× 206 0.9× 101 0.6× 115 0.7× 71 980
Csilla Mohácsi‐Farkas 519 1.2× 206 0.6× 221 1.0× 95 0.5× 214 1.4× 39 1.1k
Peter Muranyi 377 0.9× 168 0.5× 345 1.5× 146 0.8× 249 1.6× 40 1.2k
Shuso Kawamura 259 0.6× 114 0.3× 242 1.0× 148 0.8× 236 1.5× 95 913

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

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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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