Roy Taylor

21.2k total citations · 5 hit papers
287 papers, 12.1k citations indexed

About

Roy Taylor is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Roy Taylor has authored 287 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Physiology, 88 papers in Endocrinology, Diabetes and Metabolism and 73 papers in Surgery. Recurrent topics in Roy Taylor's work include Diet and metabolism studies (70 papers), Diabetes Management and Research (39 papers) and Metabolism, Diabetes, and Cancer (39 papers). Roy Taylor is often cited by papers focused on Diet and metabolism studies (70 papers), Diabetes Management and Research (39 papers) and Metabolism, Diabetes, and Cancer (39 papers). Roy Taylor collaborates with scholars based in United Kingdom, United States and Australia. Roy Taylor's co-authors include Kieren G. Hollingsworth, Benjamin S. Aribisala, Ahmad Al-Mrabeh, John C. Mathers, Ee Lin Lim, Sarah Steven, Naveed Sattar, Alison C. Barnes, Michael E. J. Lean and Michael I. Trenell and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Roy Taylor

274 papers receiving 11.6k citations

Hit Papers

Reversal of type 2 diabet... 2011 2026 2016 2021 2011 2018 2018 2021 2024 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roy Taylor 4.5k 4.3k 3.1k 2.7k 2.2k 287 12.1k
Kristina M. Utzschneider 4.1k 0.9× 4.0k 0.9× 2.4k 0.8× 4.5k 1.7× 2.8k 1.3× 103 12.0k
Sudhesh Kumar 4.5k 1.0× 4.1k 0.9× 1.9k 0.6× 4.6k 1.7× 3.2k 1.4× 238 14.7k
Hirohito Sone 2.8k 0.6× 3.9k 0.9× 2.6k 0.8× 2.2k 0.8× 4.4k 2.0× 568 15.5k
Ahmed H. Kissebah 4.3k 1.0× 4.0k 0.9× 1.9k 0.6× 2.7k 1.0× 2.0k 0.9× 141 11.8k
Francesco Giorgino 2.7k 0.6× 5.2k 1.2× 2.5k 0.8× 1.5k 0.6× 4.3k 1.9× 316 12.4k
Wilfred Y. Fujimoto 3.5k 0.8× 6.1k 1.4× 3.2k 1.0× 2.8k 1.0× 3.8k 1.7× 223 14.2k
Nobuhiro Yamada 3.5k 0.8× 3.9k 0.9× 5.3k 1.7× 3.0k 1.1× 6.2k 2.8× 312 16.5k
J Lévy 2.3k 0.5× 5.5k 1.3× 2.9k 0.9× 1.6k 0.6× 2.8k 1.3× 150 11.4k
Martine Laville 6.7k 1.5× 2.3k 0.5× 2.1k 0.7× 3.6k 1.3× 5.7k 2.6× 335 15.8k
Michael Y. Tsai 3.4k 0.8× 2.5k 0.6× 3.8k 1.2× 1.6k 0.6× 3.2k 1.4× 412 16.1k

Countries citing papers authored by Roy Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Roy Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Taylor. A scholar is included among the top collaborators of Roy Taylor 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 Roy Taylor. Roy Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Valabhji, Jonathan, Tessa Gorton, Emma Barron, et al.. (2024). Early findings from the NHS Type 2 Diabetes Path to Remission Programme: a prospective evaluation of real-world implementation. The Lancet Diabetes & Endocrinology. 12(9). 653–663. 18 indexed citations
2.
3.
Corbin, Laura J., David A. Hughes, Caroline J. Bull, et al.. (2023). The metabolomic signature of weight loss and remission in the Diabetes Remission Clinical Trial (DiRECT). Diabetologia. 67(1). 74–87. 15 indexed citations
4.
Sattar, Naveed, Shahrad Taheri, David P. Astling, et al.. (2023). Prediction of Cardiometabolic Health Through Changes in Plasma Proteins With Intentional Weight Loss in the DiRECT and DIADEM-I Randomized Clinical Trials of Type 2 Diabetes Remission. Diabetes Care. 46(11). 1949–1957. 7 indexed citations
5.
Cassidy, Sophie, Michael I. Trenell, Renae J. Stefanetti, et al.. (2022). Physical activity, inactivity and sleep during the Diabetes Remission Clinical Trial (DiRECT). Diabetic Medicine. 40(3). e15010–e15010. 14 indexed citations
6.
Leslie, W. S., Leanne Harris, Claudia‐Martina Messow, et al.. (2021). Antihypertensive medication needs and blood pressure control with weight loss in the Diabetes Remission Clinical Trial (DiRECT). Diabetologia. 64(9). 1927–1938. 23 indexed citations
7.
Jesuthasan, Aaron, Sviatlana Zhyzhneuskaya, Carl Peters, et al.. (2021). Sex differences in intraorgan fat levels and hepatic lipid metabolism: implications for cardiovascular health and remission of type 2 diabetes after dietary weight loss. Diabetologia. 65(1). 226–233. 20 indexed citations
8.
Byrne, Christopher D., Zaed Hamady, Alison K. Wright, et al.. (2020). Clinical science: Type 2 diabetes. Diabetic Medicine. 37(S1). 16–18.
9.
Kusinski, Laura C., Helen Murphy, Emanuella De Lucia Rolfe, et al.. (2020). Dietary Intervention in Pregnant Women with Gestational Diabetes; Protocol for the DiGest Randomised Controlled Trial. Nutrients. 12(4). 1165–1165. 19 indexed citations
11.
Nagi, Dinesh, Clare Hambling, & Roy Taylor. (2019). Remission of type 2 diabetes: a position statement from the Association of British Clinical Diabetologists (ABCD) and the Primary Care Diabetes Society (PCDS). British Journal of Diabetes. 19(1). 73–76. 61 indexed citations
12.
Taylor, Roy & Alison C. Barnes. (2018). Can type 2 diabetes be reversed and how can this best be achieved? James Lind Alliance research priority number one. Diabetic Medicine. 36(3). 308–315. 27 indexed citations
13.
Lim, Ee Lin, et al.. (2011). Reversal of type 2 diabetes: normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol. Diabetologia. 54(10). 2506–2514. 791 indexed citations breakdown →
14.
Hollingsworth, Kieren G., David Jones, Roy Taylor, Andrew M. Blamire, & Julia L. Newton. (2010). Impaired cardiovascular response to standing in Chronic Fatigue Syndrome. European Journal of Clinical Investigation. 40(7). 608–615. 51 indexed citations
15.
Jovanović, Ana, et al.. (2009). The Second-Meal Phenomenon in Type 2 Diabetes. Diabetes Care. 32(7). 1199–1201. 76 indexed citations
16.
Savage, David B., Ravikumar Balasubramanian, Cheol Soo Choi, et al.. (2008). A Prevalent Variant in PPP1R3A Impairs Glycogen Synthesis and Reduces Muscle Glycogen Content in Humans and Mice. Oxford University Research Archive (ORA) (University of Oxford). 15 indexed citations
17.
Taylor, Roy. (2006). The Role of Islet-cell Function in the Onset and Progression of Type 2 Diabetes. touchREVIEWS in Endocrinology. 1–1. 1 indexed citations
18.
Worth, Richard, J. Anderson, Roy Taylor, & K. G. M. M. Alberti. (1980). Jet injection of insulin: comparison with conventional injection by syringe and needle.. BMJ. 281(6242). 713–714. 24 indexed citations
19.
Jenkins, David, T M Wolever, R. Nineham, et al.. (1978). Guar crispbread in the diabetic diet.. BMJ. 2(6154). 1744–1746. 76 indexed citations
20.
Taylor, Roy. (1973). Children's wheelchair clinic.. BMJ. 1(5846). 173.3–174. 1 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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