R. Goodier
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
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)Meat Science (1 paper)International Journal of Medical Microbiology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
R. Goodier
10 papers receiving 502 citations
Peers
Comparison fields: 5 of 53
- Endocrinology 154
- Food Science 189
- Immunology and Allergy 56
- Animal Science and Zoology 71
- Ecology 146
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 | 133 | |
| 2 | 2006 | 96 | |
| 3 | 2001 | 91 | |
| 4 | 2003 | 80 | |
| 5 | 2006 | 45 | |
| 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 535 indexed citations. Recurring topics across this work include Identification and Quantification in Food (5 papers), Vibrio bacteria research studies (3 papers), Advanced Chemical Sensor Technologies (2 papers), Molecular Biology Techniques and Applications (2 papers), Meat and Animal Product Quality (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Endocrinology (154 citations), Food Science (189 citations), Immunology and Allergy (56 citations), Animal Science and Zoology (71 citations) and Ecology (146 citations). R. Goodier has collaborated with scholars based in United States, United Kingdom and India. 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 Marta Hernández. Their work appears in journals such as Journal of Bacteriology, Food Additives & Contaminants, European Food Research and Technology, Meat Science and International Journal of Medical Microbiology.
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.