Peggy M. Foegeding

54 total papers · 1.9k total citations
45 papers, 1.4k citations indexed

About

Peggy M. Foegeding is a scholar working on Biotechnology, Molecular Biology and Ecology. According to data from OpenAlex, Peggy M. Foegeding has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biotechnology, 23 papers in Molecular Biology and 12 papers in Ecology. Recurrent topics in Peggy M. Foegeding's work include Microbial Inactivation Methods (21 papers), Listeria monocytogenes in Food Safety (18 papers) and Bacillus and Francisella bacterial research (15 papers). Peggy M. Foegeding is often cited by papers focused on Microbial Inactivation Methods (21 papers), Listeria monocytogenes in Food Safety (18 papers) and Bacillus and Francisella bacterial research (15 papers). Peggy M. Foegeding collaborates with scholars based in United States. Peggy M. Foegeding's co-authors include Karen M. Young, Elaine D. Berry, K. Wiencek, N A Klapes, Todd R. Klaenhammer, Brian W. Sheldon, F. F. Busta, Lee‐Ann Jaykus, Jennifer J. Quinlan and P. M. Kutima and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Food Microbiology and Journal of Food Science.

In The Last Decade

Peggy M. Foegeding

45 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Peggy M. Foegeding 842 740 459 228 119 45 1.4k
J. M. Goepfert 723 0.9× 750 1.0× 601 1.3× 198 0.9× 190 1.6× 45 1.5k
Ana Bernardo 756 0.9× 1.1k 1.5× 607 1.3× 301 1.3× 101 0.8× 52 1.7k
Jean Labadie 570 0.7× 508 0.7× 456 1.0× 210 0.9× 115 1.0× 38 1.4k
Jeroen A. Wouters 786 0.9× 793 1.1× 600 1.3× 155 0.7× 149 1.3× 32 1.6k
Louis Coroller 678 0.8× 566 0.8× 419 0.9× 203 0.9× 159 1.3× 58 1.4k
D. Thuault 574 0.7× 629 0.8× 299 0.7× 237 1.0× 61 0.5× 31 1.1k
Cameron R. Hackney 650 0.8× 714 1.0× 266 0.6× 367 1.6× 61 0.5× 57 1.6k
Teresa M. Bergholz 956 1.1× 868 1.2× 344 0.7× 94 0.4× 103 0.9× 59 1.5k
Javier Calzada 451 0.5× 623 0.8× 431 0.9× 435 1.9× 57 0.5× 46 1.3k
Tone Mari Rode 389 0.5× 435 0.6× 464 1.0× 292 1.3× 64 0.5× 36 1.1k

Countries citing papers authored by Peggy M. Foegeding

Since Specialization
Citations

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

Fields of papers citing papers by Peggy M. Foegeding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peggy M. Foegeding. 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 Peggy M. Foegeding. The network helps show where Peggy M. Foegeding may publish in the future.

Co-authorship network of co-authors of Peggy M. Foegeding

This figure shows the co-authorship network connecting the top 25 collaborators of Peggy M. Foegeding. A scholar is included among the top collaborators of Peggy M. Foegeding 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 Peggy M. Foegeding. Peggy M. Foegeding 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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