David Gable

1.4k total citations
18 papers, 686 citations indexed

About

David Gable is a scholar working on Genetics, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David Gable has authored 18 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Physiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David Gable's work include Adipose Tissue and Metabolism (5 papers), Genetic Associations and Epidemiology (3 papers) and Diabetes Management and Research (3 papers). David Gable is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Genetic Associations and Epidemiology (3 papers) and Diabetes Management and Research (3 papers). David Gable collaborates with scholars based in United Kingdom, Switzerland and India. David Gable's co-authors include Steve E. Humphries, Steven J. Hurel, Jackie A. Cooper, Jeffrey W. Stephens, George J. Miller, George J. Miller, Ka Wah Li, Ian F. Godsland, Francesco D’Aiuto and Helen Ireland and has published in prestigious journals such as The Lancet, Diabetes Care and Diabetes.

In The Last Decade

David Gable

17 papers receiving 661 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Gable United Kingdom	11	219	218	154	151	135	18	686
Eija Ruotsalainen Finland	12	284 1.3×	194 0.9×	58 0.4×	96 0.6×	111 0.8×	16	539
Yavor Assyov Bulgaria	13	105 0.5×	151 0.7×	53 0.3×	106 0.7×	119 0.9×	41	439
Aída Medina-Urrutia Mexico	16	240 1.1×	150 0.7×	77 0.5×	111 0.7×	252 1.9×	56	808
L. Maria Belalcazar United States	17	178 0.8×	189 0.9×	120 0.8×	173 1.1×	174 1.3×	34	719
Satomi Shibazaki Japan	6	482 2.2×	256 1.2×	30 0.2×	89 0.6×	151 1.1×	18	736
Scott Dickinson United Kingdom	11	77 0.4×	237 1.1×	177 1.1×	385 2.5×	176 1.3×	24	1.0k
Laurie Bernstein United States	12	183 0.8×	335 1.5×	86 0.6×	199 1.3×	45 0.3×	32	717
Krithika Srikanthan United States	6	148 0.7×	116 0.5×	27 0.2×	130 0.9×	114 0.8×	8	522
Antoaneta Gateva Bulgaria	15	104 0.5×	133 0.6×	30 0.2×	114 0.8×	148 1.1×	57	626

Countries citing papers authored by David Gable

Since Specialization

Citations

This map shows the geographic impact of David Gable'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 David Gable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gable more than expected).

Fields of papers citing papers by David Gable

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Gable. 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 David Gable. The network helps show where David Gable may publish in the future.

Co-authorship network of co-authors of David Gable

This figure shows the co-authorship network connecting the top 25 collaborators of David Gable. A scholar is included among the top collaborators of David Gable based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Gable. David Gable is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Misra, Shivani, Kamlesh Khunti, Alpesh Goyal, et al.. (2025). Managing early-onset type 2 diabetes in the individual and at the population level. The Lancet. 405(10497). 2341–2354. 3 indexed citations

Misra, Shivani, David Gable, Kamlesh Khunti, et al.. (2022). Developing services to support the delivery of care to people with early‐onset type 2 diabetes. Diabetic Medicine. 39(10). e14927–e14927. 8 indexed citations

Misra, Shivani, Baktash Khozoee, Jiawei Huang, et al.. (2020). Comparison of Diabetic Ketoacidosis in Adults During the SARS-CoV-2 Outbreak and Over the Same Time Period for the Preceding 3 Years. Diabetes Care. 44(2). e29–e31. 12 indexed citations

Oliver, Nick, Ian F. Godsland, C. K. H. Yu, et al.. (2019). Hyperglycemia recognised in early pregnancy is phenotypically type 2 diabetes mellitus not gestational diabetes mellitus: a case control study. The Journal of Maternal-Fetal & Neonatal Medicine. 33(23). 3977–3983. 5 indexed citations

D’Aiuto, Francesco, et al.. (2017). Evidence summary: The relationship between oral diseases and diabetes. BDJ. 222(12). 944–948. 83 indexed citations

Puzzo, Ignazio, David Gable, & Alan Cohen. (2017). Using the National Diabetes Audit to improve the care of diabetes in secure hospital in-patient settings in the UK. Journal of Forensic Psychiatry and Psychology. 28(3). 400–411. 3 indexed citations

Prior, Sarah L., David Gable, J. Cooper, et al.. (2009). Association between the adiponectin promoter rs266729 gene variant and oxidative stress in patients with diabetes mellitus. European Heart Journal. 30(10). 1263–1269. 19 indexed citations

Salpea, Klelia D., David Gable, Jackie A. Cooper, et al.. (2008). The effect of WNT5B IVS3C>G on the susceptibility to type 2 diabetes in UK Caucasian subjects. Nutrition Metabolism and Cardiovascular Diseases. 19(2). 140–145. 21 indexed citations

Gable, David, Hüseyin Altuğ Çakmak, Ka Wah Li, et al.. (2007). Common Adiponectin Gene Variants Show Different Effects on Risk of Cardiovascular Disease and Type 2 Diabetes in European Subjects. Annals of Human Genetics. 71(4). 453–466. 56 indexed citations

10.

Gable, David, Saskia C. Sanderson, & Steve E. Humphries. (2007). Genotypes, obesity and type 2 diabetes – can genetic information motivate weight loss? A review. Clinical Chemistry and Laboratory Medicine (CCLM). 45(3). 301–8. 8 indexed citations

11.

Muthumala, Amal, David Gable, Jutta Palmen, et al.. (2007). Is the influence of variation in the ACE gene on the prospective risk of Type 2 diabetes in middle-aged men modified by obesity?. Clinical Science. 113(12). 467–472. 10 indexed citations

12.

Gable, David, Steven J. Hurel, & Steve E. Humphries. (2006). Adiponectin and its gene variants as risk factors for insulin resistance, the metabolic syndrome and cardiovascular disease. Atherosclerosis. 188(2). 231–244. 134 indexed citations

13.

Humphries, Steve E., David Gable, Jackie A. Cooper, et al.. (2006). Common variants in the TCF7L2 gene and predisposition to type 2 diabetes in UK European Whites, Indian Asians and Afro-Caribbean men and women. Journal of Molecular Medicine. 84(12). 1005–1014. 137 indexed citations

14.

Gable, David, et al.. (2006). We-W33:6 Variation in the UCP2-UCP3 gene cluster predicts the development of type 2 diabetes in healthy middle-aged men. Atherosclerosis Supplements. 7(3). 312–312. 1 indexed citations

15.

Gable, David, et al.. (2006). Variation in the UCP2-UCP3 Gene Cluster Predicts the Development of Type 2 Diabetes in Healthy Middle-Aged Men. Diabetes. 55(5). 1504–1511. 59 indexed citations

16.

Stephens, Jeffrey W., David Gable, Steven J. Hurel, et al.. (2005). Increased Plasma Markers of Oxidative Stress Are Associated with Coronary Heart Disease in Males with Diabetes Mellitus and with 10-Year Risk in a Prospective Sample of Males. Clinical Chemistry. 52(3). 446–452. 81 indexed citations

17.

Gable, David. (1990). Boulez's Two Cultures: The Post-War European Synthesis and Tradition. Journal of the American Musicological Society. 43(3). 426–456. 1 indexed citations

18.

Aoi, Wataru, David Gable, Robert E. Cleary, Peter Young, & M H Weinberger. (1976). The Antihypertensive Effect of Pregnancy in Spontaneously Hypertensive Rats. Experimental Biology and Medicine. 153(1). 13–15. 45 indexed citations

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.

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