R. Goodier

686 total citations
10 papers, 535 citations indexed

About

R. Goodier is a scholar working on Molecular Biology, Endocrinology and Food Science. According to data from OpenAlex, R. Goodier has authored 10 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Endocrinology and 3 papers in Food Science. Recurrent topics in R. Goodier's work include Identification and Quantification in Food (5 papers), Vibrio bacteria research studies (3 papers) and Meat and Animal Product Quality (2 papers). R. Goodier is often cited by papers focused on Identification and Quantification in Food (5 papers), Vibrio bacteria research studies (3 papers) and Meat and Animal Product Quality (2 papers). R. Goodier collaborates with scholars based in United States, United Kingdom and France. R. Goodier's co-authors include Brian M. M. Ahmer, Max Teplitski, H. Hird, J. Steven Brown, Paul Reece, J. C. Lloyd, James Chisholm, Bert Pöpping, Michael G. Hill and Marta Hernández and has published in prestigious journals such as Journal of Bacteriology, Meat Science and European Food Research and Technology.

In The Last Decade

R. Goodier

10 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Goodier United States 8 358 189 154 146 139 10 535
Nicolette Pegels Spain 15 455 1.3× 173 0.9× 13 0.1× 150 1.0× 41 0.3× 23 579
René Köppel Germany 18 791 2.2× 191 1.0× 29 0.2× 279 1.9× 93 0.7× 46 981
Christoph Engl United Kingdom 16 441 1.2× 51 0.3× 106 0.7× 160 1.1× 296 2.1× 22 652
Samina Akbar United States 10 303 0.8× 173 0.9× 120 0.8× 167 1.1× 270 1.9× 13 576
Juan M. Tomás Spain 11 186 0.5× 33 0.2× 203 1.3× 145 1.0× 78 0.6× 19 476
Maryvonne Lanneau France 18 261 0.7× 25 0.1× 246 1.6× 24 0.2× 156 1.1× 33 847
Ki Hwan Moon South Korea 11 143 0.4× 43 0.2× 109 0.7× 47 0.3× 72 0.5× 26 373
Uma Silphaduang United States 10 163 0.5× 30 0.2× 54 0.4× 93 0.6× 38 0.3× 11 591
H. Hird United Kingdom 10 319 0.9× 101 0.5× 3 0.0× 122 0.8× 33 0.2× 12 448
Kiel Nikolakakis United States 10 380 1.1× 47 0.2× 362 2.4× 149 1.0× 230 1.7× 13 729

Countries citing papers authored by R. Goodier

Since Specialization
Citations

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

Fields of papers citing papers by R. Goodier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Goodier

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

All Works

10 of 10 papers shown
1.
Goodier, R.. (2009). Brain Training’s Unproven Hype. Scientific American Mind. 20(4). 8–8. 1 indexed citations
2.
Goodier, R.. (2009). Who Said That?. Scientific American Mind. 20(5). 8–8. 1 indexed citations
3.
Teplitski, Max, R. Goodier, & Brian M. M. Ahmer. (2006). Catabolite repression of the SirA regulatory cascade in Salmonella enterica. International Journal of Medical Microbiology. 296(7). 449–466. 45 indexed citations
4.
Hird, H., James Chisholm, Ana Sánchez, et al.. (2006). Effect of heat and pressure processing on DNA fragmentation and implications for the detection of meat using a real-time polymerase chain reaction. Food Additives & Contaminants. 23(7). 645–650. 96 indexed citations
5.
Hold, Georgina L., James Chisholm, Paul Reece, et al.. (2004). Development of a method for the quantification of haddock (Melanogrammus aeglefinus) in commercial products using real-time PCR. European Food Research and Technology. 220(5-6). 633–637. 33 indexed citations
6.
Hird, H., et al.. (2004). Truncation of oligonucleotide primers confers specificity on real-time polymerase chain reaction assays for food authentication. Food Additives & Contaminants. 21(11). 1035–1040. 15 indexed citations
7.
Hird, H., R. Goodier, & Michael G. Hill. (2003). Rapid detection of chicken and turkey in heated meat products using the polymerase chain reaction followed by amplicon visualisation with vistra green. Meat Science. 65(3). 1117–1123. 40 indexed citations
8.
Hird, H., J. C. Lloyd, R. Goodier, J. Steven Brown, & Paul Reece. (2003). Detection of peanut using real-time polymerase chain reaction. European Food Research and Technology. 217(3). 265–268. 80 indexed citations
9.
Teplitski, Max, R. Goodier, & Brian M. M. Ahmer. (2003). Pathways Leading from BarA/SirA to Motility andVirulence Gene Expression inSalmonella. Journal of Bacteriology. 185(24). 7257–7265. 133 indexed citations
10.
Goodier, R. & Brian M. M. Ahmer. (2001). SirA Orthologs Affect both Motility and Virulence. Journal of Bacteriology. 183(7). 2249–2258. 91 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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