Philip Teale
Impact in
-
- Hormonal and reproductive studies
- Animal Science and Zoology top 5%
- Pharmacological Effects and Assays
Papers in
-
- Hormonal and reproductive studies 12
-
- Pharmacological Effects and Assays 6
- Co-authors
- Philip B. Grace (4 shared papers)James Scarth (5 shared papers)Steven A. Westwood (1 shared paper)David I. Perrett (1 shared paper)M.R. Taylor (1 shared paper)Anthony J. Leathem (1 shared paper)M. C. Dumasia (3 shared papers)David Hall (1 shared paper)
- Journals
- Chromatographia (3 papers)Journal of Cardiovascular Pharmacology (2 papers)Journal of Chromatography B (2 papers)Steroids (2 papers)The Analyst (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Philip Teale
19 papers receiving 359 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 208
- Animal Science and Zoology 88
- Spectroscopy 97
- Equine 9
- Cell Biology 71
Countries citing papers authored by Philip Teale
This map shows the geographic impact of Philip 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 Philip Teale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Teale more than expected).
Fields of papers citing papers by Philip Teale
This network shows the impact of papers produced by Philip 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 Philip Teale. The network helps show where Philip Teale may publish in the future.
Co-authors
The 19 scholars most cited alongside Philip 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 63 | |
| 2 | 1997 | 59 | |
| 3 | 2008 | 38 | |
| 4 | 2010 | 33 | |
| 5 | 2010 | 32 | |
| 6 | 2010 | 29 | |
| 7 | 2009 | 26 | |
| 8 | 2009 | 20 | |
| 9 | 1984 | 16 | |
| 10 | 2006 | 15 | |
| 11 | 1989 | 13 | |
| 12 | 1996 | 12 | |
| 13 | 1988 | 10 | |
| 14 | 1995 | 9 | |
| 15 | 2010 | 7 | |
| 16 | 2011 | 6 | |
| 17 | 1995 | 5 | |
| 18 | 2018 | 2 | |
| 19 | Data Patterns (Patterns & Practices) | 2005 | 1 |
About Philip Teale
Philip Teale is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Spectroscopy, Molecular Biology and Food Science, having authored 19 papers that have together received 396 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Pharmacological Effects and Assays (6 papers), Analytical Chemistry and Chromatography (4 papers), Pesticide Residue Analysis and Safety (4 papers), Muscle metabolism and nutrition (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Tea Polyphenols and Effects (2 papers) and Plant Toxicity and Pharmacological Properties (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Animal Science and Zoology (88 citations), Spectroscopy (97 citations), Equine (9 citations) and Cell Biology (71 citations). Philip Teale has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Philip B. Grace, James Scarth, Steven A. Westwood, David I. Perrett, M.R. Taylor, Anthony J. Leathem, M. C. Dumasia, David Hall, Clive M. Pearce and Jack F. Kay. Their work appears in journals such as Chromatographia, Journal of Cardiovascular Pharmacology, Journal of Chromatography B, Steroids and The Analyst.
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.