I. P. Gray
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- Diabetes Management and Research 6
- Diet, Metabolism, and Disease 3
- Obstetrics and Gynecology top 5%
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- Birth, Development, and Health 8
- Physiology top 10%
- Adipose Tissue and Metabolism 4
- Genetics top 10%
- Diabetes and associated disorders 8
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- Pancreatic function and diabetes 12
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- Metabolism, Diabetes, and Cancer 9
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Nigel J. CrowtherNoël CameronMelanie J. DaviesJoseph DayC. N. HalesKenneth SiddleG. RaymanB H Frank
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Journals
- Diabetic Medicine (8 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Clinical Endocrinology (3 papers)
- Partner nations
- United KingdomSouth AfricaSweden
In The Last Decade
I. P. Gray
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 573
- Obstetrics and Gynecology 160
- Pediatrics, Perinatology and Child Health 349
- Physiology 254
- Genetics 247
Countries citing papers authored by I. P. Gray
This map shows the geographic impact of I. P. Gray'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 I. P. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. P. Gray more than expected).
Fields of papers citing papers by I. P. Gray
This network shows the impact of papers produced by I. P. Gray. 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 I. P. Gray. The network helps show where I. P. Gray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I. P. Gray, 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 | 2012 | 16 | |
| 2 | 2001 | 22 | |
| 3 | 2000 | 26 | |
| 4 | 2000 | 46 | |
| 5 | 1999 | 30 | |
| 6 | 1998 | 190 | |
| 7 | 1997 | 22 | |
| 8 | 1995 | 13 | |
| 9 | 1994 | 12 | |
| 10 | 1994 | 2 | |
| 11 | 1994 | 17 | |
| 12 | 1994 | 21 | |
| 13 | 1994 | 75 | |
| 14 | 1994 | 22 | |
| 15 | 1994 | 3 | |
| 16 | 1993 | 81 | |
| 17 | 1993 | 49 | |
| 18 | 1989 | 4 | |
| 19 | 1989 | 297 | |
| 20 | 1988 | 70 |
About I. P. Gray
I. P. Gray is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery and Genetics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Birth, Development, and Health (8 papers), Diabetes and associated disorders (8 papers), Diabetes Management and Research (6 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (573 citations), Obstetrics and Gynecology (160 citations), Pediatrics, Perinatology and Child Health (349 citations), Physiology (254 citations) and Genetics (247 citations). I. P. Gray has collaborated with scholars based in United Kingdom, South Africa and Sweden. Frequent co-authors include Nigel J. Crowther, Noël Cameron, Melanie J. Davies, Joseph Day, C. N. Hales, Kenneth Siddle, G. Rayman, C. N. Hales, B H Frank and C. N. Hales. Their work appears in journals such as Diabetic Medicine, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Diabetes and Diabetologia.
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.