Kevin Colclough
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- Diabetes Management and Research 26
- Diabetes Treatment and Management 10
- Genetics top 0.5%
- Diabetes and associated disorders 36
- Genetics and Neurodevelopmental Disorders 12
- Genomics and Rare Diseases 6
- Surgery top 0.5%
- Pancreatic function and diabetes 61
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 17
- RNA modifications and cancer 7
- Obstetrics and Gynecology top 5%
- Co-authors
- Sian EllardAndrew T. HattersleyBeverley M. ShieldsMaggie ShepherdSarah E. FlanaganCécile Saint‐MartinChristine Bellanné‐ChantelotAnna L. Gloyn
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Kevin Colclough
71 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 1.8k
- Genetics 2.7k
- Surgery 3.2k
- Molecular Biology 1.6k
- Obstetrics and Gynecology 125
Countries citing papers authored by Kevin Colclough
This map shows the geographic impact of Kevin Colclough'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 Kevin Colclough with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Colclough more than expected).
Fields of papers citing papers by Kevin Colclough
This network shows the impact of papers produced by Kevin Colclough. 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 Kevin Colclough. The network helps show where Kevin Colclough may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Colclough, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 25 | |
| 9 | 2021 | 48 | |
| 10 | 2021 | 46 | |
| 11 | 2021 | 103 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 73 | |
| 14 | 2019 | 29 | |
| 15 | 2017 | 87 | |
| 16 | 2017 | 97 | |
| 17 | 2011 | 20 | |
| 18 | Naturally occurring glucokinase mutations at the same amino acid residue cause opposite clinical phenotypes of hypo- and hyperglycaemia | 2010 | 1 |
| 19 | 2009 | 34 | |
| 20 | 2008 | 80 |
About Kevin Colclough
Kevin Colclough is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 76 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (61 papers), Diabetes and associated disorders (36 papers), Diabetes Management and Research (26 papers), Metabolism, Diabetes, and Cancer (17 papers), Genetics and Neurodevelopmental Disorders (12 papers), Diabetes Treatment and Management (10 papers), RNA modifications and cancer (7 papers) and Genomics and Rare Diseases (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Genetics (2.7k citations) and Surgery (3.2k citations). Kevin Colclough has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Sian Ellard, Andrew T. Hattersley, Beverley M. Shields, Maggie Shepherd, Sarah E. Flanagan, Cécile Saint‐Martin, Christine Bellanné‐Chantelot, Anna L. Gloyn, Sarah Hicks and Kashyap Patel. Their work appears in journals such as The Lancet, JAMA and Journal of Biological Chemistry.
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.