David C. D. Hope

436 total citations
12 papers, 192 citations indexed

About

David C. D. Hope is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, David C. D. Hope has authored 12 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in David C. D. Hope's work include Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Pancreatic function and diabetes (4 papers). David C. D. Hope is often cited by papers focused on Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Pancreatic function and diabetes (4 papers). David C. D. Hope collaborates with scholars based in United Kingdom, Sweden and Switzerland. David C. D. Hope's co-authors include Tricia Tan, Stephen R. Bloom, Bryn M. Owen, R.M. Mayers, David M. Smith, Tracy Gorman, Ben Jones, Débora Gil, Alice Yu and Michael Snaith and has published in prestigious journals such as Nature Medicine, Chemical Communications and Scientific Reports.

In The Last Decade

David C. D. Hope

11 papers receiving 186 citations

Peers

David C. D. Hope
Sigrid Jall Germany
Milind Girish United Kingdom
Heike Schlichthaar United Kingdom
Marlena M. Holter United States
David C. D. Hope
Citations per year, relative to David C. D. Hope David C. D. Hope (= 1×) peers Aaron Novikoff

Countries citing papers authored by David C. D. Hope

Since Specialization
Citations

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

Fields of papers citing papers by David C. D. Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. D. Hope

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

All Works

12 of 12 papers shown
1.
Barron, Emma, David C. D. Hope, Chirag Bakhai, et al.. (2025). Association between the English National Health Service Diabetes Prevention Programme and incident multiple long-term conditions. Nature Medicine. 31(11). 3825–3831.
2.
Hope, David C. D., José M. Ramos Pittol, Zijing Zhou, et al.. (2024). Dietary protein defends lean mass and maintains the metabolic benefits of glucagon receptor agonism in mice. Molecular Metabolism. 89. 102024–102024. 3 indexed citations
3.
Hope, David C. D. & Tricia Tan. (2024). Skeletal muscle loss and sarcopenia in obesity pharmacotherapy. Nature Reviews Endocrinology. 20(12). 695–696. 6 indexed citations
4.
Hope, David C. D., Sirazum Choudhury, Κλεοπάτρα Αλεξιάδου, et al.. (2024). Adaptive infusion of a glucagon‐like peptide‐1/glucagon receptor co‐agonist G3215 , in adults with overweight or obesity: Results from a phase 1 randomized clinical trial. Diabetes Obesity and Metabolism. 26(4). 1479–1491. 2 indexed citations
5.
McGlone, Emma Rose, David C. D. Hope, Bryn M. Owen, et al.. (2023). Sleeve gastrectomy causes weight‐loss independent improvements in hepatic steatosis. Liver International. 43(9). 1890–1900. 8 indexed citations
6.
Hope, David C. D. & Tricia Tan. (2023). Glucagon and energy expenditure; Revisiting amino acid metabolism and implications for weight loss therapy. Peptides. 162. 170962–170962. 13 indexed citations
7.
Hope, David C. D., Rebecca Scott, Ben Jones, et al.. (2022). Hypoaminoacidemia underpins glucagon-mediated energy expenditure and weight loss. Cell Reports Medicine. 3(11). 100810–100810. 24 indexed citations
8.
Owen, Bryn M., David C. D. Hope, Philip Pickford, et al.. (2021). A glucagon analogue decreases body weight in mice via signalling in the liver. Scientific Reports. 11(1). 22577–22577. 12 indexed citations
9.
Hope, David C. D., et al.. (2021). Striking the Balance: GLP-1/Glucagon Co-Agonism as a Treatment Strategy for Obesity. Frontiers in Endocrinology. 12. 735019–735019. 63 indexed citations
10.
Hope, David C. D., Tricia Tan, & Stephen R. Bloom. (2018). No Guts, No Loss: Toward the Ideal Treatment for Obesity in the Twenty-First Century. Frontiers in Endocrinology. 9. 442–442. 21 indexed citations
11.
Singh, Jashandeep, et al.. (2015). Assembly of bioactive multilayered nanocoatings on pancreatic islet cells: incorporation of α1-antitrypsin into the coatings. Chemical Communications. 51(53). 10652–10655. 13 indexed citations
12.
Gorman, Tracy, David C. D. Hope, Alice Yu, et al.. (2007). Effect of high‐fat diet on glucose homeostasis and gene expression in glucokinase knockout mice. Diabetes Obesity and Metabolism. 10(10). 885–897. 27 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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