Eric S. Kilpatrick
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- Diabetes Management and Research 28
- Diabetes, Cardiovascular Risks, and Lipoproteins 19
- Diabetes Treatment and Management 19
- Hormonal and reproductive studies 11
- Reproductive Medicine top 1%
- Ovarian function and disorders 34
- Nephrology top 2%
- Genetics top 2%
- Diabetes and associated disorders 11
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- Lipid metabolism and disorders 8
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- Reproductive Biology and Fertility 10
- Co-authors
- Stephen L. AtkinAlan S. RigbyThozhukat SathyapalanVijay JayagopalPaul JenningsDavid HepburnAnne‐Marie CoadyKevin Goode
- Partner nations
- United KingdomQatarUnited States
In The Last Decade
Eric S. Kilpatrick
109 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 2.8k
- Reproductive Medicine 726
- Nephrology 218
- Genetics 848
- Cardiology and Cardiovascular Medicine 652
Countries citing papers authored by Eric S. Kilpatrick
This map shows the geographic impact of Eric S. Kilpatrick'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 Eric S. Kilpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Kilpatrick more than expected).
Fields of papers citing papers by Eric S. Kilpatrick
This network shows the impact of papers produced by Eric S. Kilpatrick. 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 Eric S. Kilpatrick. The network helps show where Eric S. Kilpatrick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric S. Kilpatrick, 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 | 2024 | 1 | |
| 2 | 2020 | 14 | |
| 3 | 2018 | 3 | |
| 4 | 2018 | 12 | |
| 5 | The Obesity Paradox in Type 2 Diabetes Mellitus: Relationship of Body Mass Index to Prognosis | 2015 | 4 |
| 6 | 2015 | 57 | |
| 7 | 2014 | 2 | |
| 8 | Haemoglobin A1c in diagnosis of impaired glucose regulation in polycystic ovary syndrome | 2012 | 1 |
| 9 | 2012 | 16 | |
| 10 | 2012 | 13 | |
| 11 | 2012 | 3 | |
| 12 | 2011 | 32 | |
| 13 | 2010 | 121 | |
| 14 | 2010 | 40 | |
| 15 | 2009 | 41 | |
| 16 | 2008 | 5 | |
| 17 | 2002 | 26 | |
| 18 | 2000 | 62 | |
| 19 | 1995 | 16 | |
| 20 | 1993 | 23 |
About Eric S. Kilpatrick
Eric S. Kilpatrick is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 109 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ovarian function and disorders (34 papers), Diabetes Management and Research (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Diabetes Treatment and Management (19 papers), Hormonal and reproductive studies (11 papers), Diabetes and associated disorders (11 papers), Reproductive Biology and Fertility (10 papers) and Lipid metabolism and disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Reproductive Medicine (726 citations) and Nephrology (218 citations). Eric S. Kilpatrick has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include Stephen L. Atkin, Alan S. Rigby, Alan S. Rigby, Thozhukat Sathyapalan, Vijay Jayagopal, Paul Jennings, David Hepburn, Anne‐Marie Coady, Kevin Goode and Elaine Howarth. Their work appears in journals such as Diabetic Medicine, Diabetes Care, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.
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.