R. Goodier
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Immunology and Allergy top 10%
- Food Allergy and Anaphylaxis Research
Papers in
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- Identification and Quantification in Food 5
- Molecular Biology Techniques and Applications 2
-
- Vibrio bacteria research studies 3
- Co-authors
- Brian M. M. Ahmer (3 shared papers)Max Teplitski (2 shared papers)H. Hird (4 shared papers)Paul Reece (2 shared papers)J. Steven Brown (2 shared papers)James Chisholm (3 shared papers)J. C. Lloyd (2 shared papers)Bert Pöpping (2 shared papers)
- Journals
- Journal of Bacteriology (2 papers)Food Additives & Contaminants (2 papers)European Food Research and Technology (2 papers)International Journal of Medical Microbiology (1 paper)Meat Science (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
R. Goodier
10 papers receiving 510 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 146
- Immunology and Allergy 57
- Food Science 181
- Animal Science and Zoology 70
- Ecology 140
Countries citing papers authored by R. Goodier
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
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-authors
The 14 scholars most cited alongside R. Goodier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 135 | |
| 2 | 2006 | 97 | |
| 3 | 2001 | 92 | |
| 4 | 2003 | 80 | |
| 5 | 2006 | 46 | |
| 6 | 2003 | 40 | |
| 7 | 2004 | 33 | |
| 8 | 2004 | 15 | |
| 9 | 2009 | 1 | |
| 10 | 2009 | 1 |
About R. Goodier
R. Goodier is a scholar working on Molecular Biology, Endocrinology, Food Science, Biomedical Engineering and Ecology, having authored 10 papers that have together received 540 indexed citations. Recurring topics across this work include Identification and Quantification in Food (5 papers), Vibrio bacteria research studies (3 papers), Meat and Animal Product Quality (2 papers), Advanced Chemical Sensor Technologies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Molecular Biology Techniques and Applications (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Isotope Analysis in Ecology (1 paper). The work is most often cited by research in Endocrinology (146 citations), Immunology and Allergy (57 citations), Food Science (181 citations), Animal Science and Zoology (70 citations) and Ecology (140 citations). R. Goodier has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brian M. M. Ahmer, Max Teplitski, H. Hird, Paul Reece, J. Steven Brown, James Chisholm, J. C. Lloyd, Bert Pöpping, Michael G. Hill and Ana Sánchez. Their work appears in journals such as Journal of Bacteriology, Food Additives & Contaminants, European Food Research and Technology, International Journal of Medical Microbiology and Meat Science.
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.