Peter Redford

2.3k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Peter Redford is a scholar working on Molecular Biology, Endocrinology and Genetics. According to data from OpenAlex, Peter Redford has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Endocrinology and 2 papers in Genetics. Recurrent topics in Peter Redford's work include Escherichia coli research studies (5 papers), Gut microbiota and health (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). Peter Redford is often cited by papers focused on Escherichia coli research studies (5 papers), Gut microbiota and health (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). Peter Redford collaborates with scholars based in United States. Peter Redford's co-authors include Rodney A. Welch, P. Roesch, Frederick R. Blattner, A. Boutin, David A. Rasko, Valerie Burland, Divya Rose, Guy Plunkett, Jeremiah D. Hackett and Nicole T. Perna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Molecular Microbiology.

In The Last Decade

Peter Redford

9 papers receiving 1.7k citations

Hit Papers

Extensive mosaic structure revealed by the complete genom... 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Redford United States 8 922 888 448 341 325 9 1.8k
Eric L. Buckles United States 13 937 1.0× 1.0k 1.1× 467 1.0× 482 1.4× 364 1.1× 17 2.2k
Christopher J. Alteri United States 22 892 1.0× 1.1k 1.2× 365 0.8× 779 2.3× 417 1.3× 35 2.1k
Divya Rose United States 4 735 0.8× 754 0.8× 419 0.9× 200 0.6× 223 0.7× 5 1.5k
Gwennaële Fichant France 21 1.4k 1.5× 536 0.6× 726 1.6× 251 0.7× 472 1.5× 41 2.5k
Patricia Doublet France 27 1.1k 1.2× 529 0.6× 521 1.2× 120 0.4× 144 0.4× 46 1.7k
Laura J. Runyen-Janecky United States 17 1.1k 1.2× 630 0.7× 887 2.0× 96 0.3× 421 1.3× 25 2.0k
Rudy Antoine France 22 935 1.0× 427 0.5× 682 1.5× 447 1.3× 176 0.5× 59 2.0k
Karl G. Wooldridge United Kingdom 24 643 0.7× 339 0.4× 353 0.8× 448 1.3× 153 0.5× 50 2.1k
Zachary D. Dalebroux United States 15 809 0.9× 492 0.6× 544 1.2× 94 0.3× 324 1.0× 21 1.6k
Richard P. Silver United States 26 988 1.1× 1.3k 1.4× 839 1.9× 234 0.7× 496 1.5× 37 2.8k

Countries citing papers authored by Peter Redford

Since Specialization
Citations

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

Fields of papers citing papers by Peter Redford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Redford

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Redford. A scholar is included among the top collaborators of Peter Redford 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 Peter Redford. Peter Redford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Anfora, Andrew, Brian J. Haugen, P. Roesch, Peter Redford, & Rodney A. Welch. (2007). Roles of Serine Accumulation and Catabolism in the Colonization of the Murine Urinary Tract by Escherichia coli CFT073. Infection and Immunity. 75(11). 5298–5304. 67 indexed citations
2.
Redford, Peter & Rodney A. Welch. (2006). Role of Sigma E-Regulated Genes in Escherichia coli Uropathogenesis. Infection and Immunity. 74(7). 4030–4038. 30 indexed citations
4.
Roesch, P., et al.. (2003). Uropathogenic Escherichia coli use d‐serine deaminase to modulate infection of the murine urinary tract. Molecular Microbiology. 49(1). 55–67. 70 indexed citations
5.
Redford, Peter, P. Roesch, & Rodney A. Welch. (2003). degS Is Necessary for Virulence and Is among Extraintestinal Escherichia coli Genes Induced in Murine Peritonitis. Infection and Immunity. 71(6). 3088–3096. 48 indexed citations
6.
Welch, Rodney A., Valerie Burland, Guy Plunkett, et al.. (2002). Extensive mosaic structure revealed by the complete genome sequence of uropathogenic Escherichia coli. Proceedings of the National Academy of Sciences. 99(26). 17020–17024. 1144 indexed citations breakdown →
7.
Torres, Alfredo G., Peter Redford, Rodney A. Welch, & Shelley M. Payne. (2001). TonB-Dependent Systems of UropathogenicEscherichia coli: Aerobactin and Heme Transport and TonB Are Required for Virulence in the Mouse. Infection and Immunity. 69(10). 6179–6185. 235 indexed citations
8.
DeClue, Jeffrey E., et al.. (1991). Suppression of src transformation by overexpression of full-length GTPase-activating protein (GAP) or of the GAP C terminus.. Molecular and Cellular Biology. 11(5). 2819–2825. 92 indexed citations
9.
DeClue, Jeffrey E., et al.. (1991). Suppression of src Transformation by Overexpression of Full-Length GTPase-Activating Protein (GAP) or of the GAP C Terminus. Molecular and Cellular Biology. 11(5). 2819–2825. 7 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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