Phil Teale
Impact in
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- Hormonal and reproductive studies
- Animal Science and Zoology top 2%
- Pharmacological Effects and Assays
Papers in
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- Pharmacological Effects and Assays 16
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- Hormonal and reproductive studies 21
- Co-authors
- E. Houghton (16 shared papers)MINOO C. DUMASIA (11 shared papers)James P. Scarth (8 shared papers)M.R. Taylor (1 shared paper)Richard G. Kay (5 shared papers)Chris Barton (4 shared papers)Jane D. Roberts (4 shared papers)Pamela R. Brown (5 shared papers)
- Journals
- Journal of Mass Spectrometry (7 papers)Drug Testing and Analysis (5 papers)Chromatographia (4 papers)Food Additives & Contaminants Part A (3 papers)Equine Veterinary Journal (3 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Phil Teale
43 papers receiving 924 citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 513
- Animal Science and Zoology 288
- Equine 33
- Spectroscopy 301
- Toxicology 39
Countries citing papers authored by Phil Teale
This map shows the geographic impact of Phil Teale'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 Phil Teale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Teale more than expected).
Fields of papers citing papers by Phil Teale
This network shows the impact of papers produced by Phil Teale. 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 Phil Teale. The network helps show where Phil Teale may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Teale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 145 | |
| 2 | 2009 | 77 | |
| 3 | 1997 | 70 | |
| 4 | 2009 | 56 | |
| 5 | 2010 | 53 | |
| 6 | 1984 | 53 | |
| 7 | 1991 | 43 | |
| 8 | 1982 | 40 | |
| 9 | 1992 | 36 | |
| 10 | 2011 | 30 | |
| 11 | 2009 | 29 | |
| 12 | 2011 | 29 | |
| 13 | 2006 | 27 | |
| 14 | 2009 | 25 | |
| 15 | 2006 | 24 | |
| 16 | 2004 | 23 | |
| 17 | 2012 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 1997 | 19 | |
| 20 | 1986 | 19 |
About Phil Teale
Phil Teale is a scholar working on Animal Science and Zoology, Endocrinology, Diabetes and Metabolism, Food Science, Spectroscopy and Cell Biology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (21 papers), Pharmacological Effects and Assays (16 papers), Pesticide Residue Analysis and Safety (11 papers), Analytical Chemistry and Chromatography (7 papers), Muscle metabolism and nutrition (7 papers), Mass Spectrometry Techniques and Applications (3 papers), Veterinary Equine Medical Research (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (513 citations), Animal Science and Zoology (288 citations), Equine (33 citations), Spectroscopy (301 citations) and Toxicology (39 citations). Phil Teale has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include E. Houghton, MINOO C. DUMASIA, James P. Scarth, M.R. Taylor, Richard G. Kay, Chris Barton, Jane D. Roberts, Pamela R. Brown, Marc Moss and Colin S. Creaser. Their work appears in journals such as Journal of Mass Spectrometry, Drug Testing and Analysis, Chromatographia, Food Additives & Contaminants Part A and Equine Veterinary Journal.
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.