Philip E. Beales
Impact in
- Genetics top 10%
- Diabetes and associated disorders
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
- Genetics 18
- Diabetes and associated disorders 18
-
- Diabetes Treatment and Management 1
- Co-authors
- Paolo Pozzilli (17 shared papers)Alberto Signore (9 shared papers)Alistair J.K. Williams (7 shared papers)Angela Giorgini (2 shared papers)Tim Robson (1 shared paper)Geoffrey Burnstock (1 shared paper)Kenneth W. Batchelor (2 shared papers)Robson Coutinho‐Silva (1 shared paper)
- Journals
- Diabetes/Metabolism Research and Reviews (3 papers)Diabetologia (3 papers)Diabetes Research and Clinical Practice (2 papers)Journal of Endocrinology (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Philip E. Beales
20 papers receiving 579 citations
Peers
Comparison fields: 5 of 47
- Genetics 311
- Physiology 22
- Immunology 70
- Endocrinology, Diabetes and Metabolism 55
- Biological Psychiatry 3
Countries citing papers authored by Philip E. Beales
This map shows the geographic impact of Philip E. Beales'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 E. Beales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip E. Beales more than expected).
Fields of papers citing papers by Philip E. Beales
This network shows the impact of papers produced by Philip E. Beales. 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 E. Beales. The network helps show where Philip E. Beales may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip E. Beales, 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 | 1993 | 293 | |
| 2 | 2002 | 46 | |
| 3 | 1998 | 43 | |
| 4 | 1990 | 33 | |
| 5 | 1994 | 33 | |
| 6 | 2007 | 26 | |
| 7 | 1991 | 25 | |
| 8 | 2004 | 21 | |
| 9 | 1997 | 17 | |
| 10 | 1995 | 15 | |
| 11 | 1993 | 13 | |
| 12 | 2003 | 10 | |
| 13 | 2002 | 9 | |
| 14 | 1999 | 5 | |
| 15 | 1996 | 3 | |
| 16 | 1999 | 3 | |
| 17 | 1993 | 2 | |
| 18 | 2000 | 2 | |
| 19 | 1998 | 1 | |
| 20 | 2000 | 1 |
About Philip E. Beales
Philip E. Beales is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Immunology, Physiology and Small Animals, having authored 20 papers that have together received 601 indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), T-cell and B-cell Immunology (2 papers), Vitamin D Research Studies (1 paper), Diabetes Treatment and Management (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Thyroid and Parathyroid Surgery (1 paper), Animal testing and alternatives (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Genetics (311 citations), Physiology (22 citations), Immunology (70 citations), Endocrinology, Diabetes and Metabolism (55 citations) and Biological Psychiatry (3 citations). Philip E. Beales has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Paolo Pozzilli, Alberto Signore, Alistair J.K. Williams, Angela Giorgini, Tim Robson, Geoffrey Burnstock, Kenneth W. Batchelor, Robson Coutinho‐Silva, Elaine Gale and Mohammed Iqbal Hawa. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Diabetologia, Diabetes Research and Clinical Practice, Journal of Endocrinology and European Journal of Pharmacology.
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.