Daniel J Donnelly

2.7k total citations · 1 hit paper
45 papers, 2.1k citations indexed

About

Daniel J Donnelly is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel J Donnelly has authored 45 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel J Donnelly's work include Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (18 papers) and Diabetes Treatment and Management (14 papers). Daniel J Donnelly is often cited by papers focused on Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (18 papers) and Diabetes Treatment and Management (14 papers). Daniel J Donnelly collaborates with scholars based in United Kingdom, United States and Germany. Daniel J Donnelly's co-authors include Suleiman Al‐Sabah, John P. Overington, Tom L. Blundell, Rakel López de Maturana, Andrej Săli, J. B. C. Findlay, Mark S. Johnson, John B. C. Findlay, Anthony J. Balmforth and Tharappel C. James and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Daniel J Donnelly

45 papers receiving 2.1k citations

Hit Papers

Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Daniel J Donnelly
Maoqing Dong United States
Laura Jenkins United Kingdom
Fai Siu United States
Leigh A. Stoddart United Kingdom
M Birnbaumer United States
S. Swillens Belgium
Richard Saperstein United States
Maoqing Dong United States
Daniel J Donnelly
Citations per year, relative to Daniel J Donnelly Daniel J Donnelly (= 1×) peers Maoqing Dong

Countries citing papers authored by Daniel J Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J Donnelly. 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 Daniel J Donnelly. The network helps show where Daniel J Donnelly may publish in the future.

Co-authorship network of co-authors of Daniel J Donnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J Donnelly. A scholar is included among the top collaborators of Daniel J Donnelly 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 Daniel J Donnelly. Daniel J Donnelly 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.
Donnelly, Daniel J, Moon Young Yang, Nicholas Dimakis, et al.. (2025). Atomistic characterization of hydration-dependent fuel cell ionomer nanostructure: validation by vibrational spectroscopy. Journal of Materials Chemistry A. 13(30). 24495–24510. 1 indexed citations
2.
Graaf, Chris de, Daniel J Donnelly, Denise Wootten, et al.. (2016). Glucagon-Like Peptide-1 and Its Class B G Protein–Coupled Receptors: A Long March to Therapeutic Successes. Pharmacological Reviews. 68(4). 954–1013. 288 indexed citations breakdown →
4.
Kumar, Amit, et al.. (2014). N-Terminal Phosphorylation of Parathyroid Hormone (PTH) Abolishes Its Receptor Activity. ACS Chemical Biology. 9(11). 2465–2470. 17 indexed citations
5.
Al‐Sabah, Suleiman, et al.. (2014). The GIP Receptor Displays Higher Basal Activity than the GLP-1 Receptor but Does Not Recruit GRK2 or Arrestin3 Effectively. PLoS ONE. 9(9). e106890–e106890. 36 indexed citations
6.
Wigglesworth, Mark, et al.. (2014). A salt bridge between Arg-20 on parathyroid hormone (PTH) and Asp-137 on the PTH1 receptor is essential for full affinity. Peptides. 61. 83–87. 3 indexed citations
7.
Donnelly, Daniel J. (2011). The structure and function of the glucagon‐like peptide‐1 receptor and its ligands. British Journal of Pharmacology. 166(1). 27–41. 209 indexed citations
9.
Chapman, Kathryn, et al.. (2010). Interactions of the Melanocortin-4 Receptor with the Peptide Agonist NDP-MSH. Journal of Molecular Biology. 401(3). 433–450. 19 indexed citations
10.
Donnelly, Daniel J, et al.. (2008). Functional expression of glucose-dependent insulinotropic polypeptide receptors is coupled to differentiation in a human adipocyte model. International Journal of Obesity. 32(11). 1705–1711. 48 indexed citations
11.
Greenhow, Christine, et al.. (2007). Fair Use Education for the Twenty-First Century: A Comparative Study of Students' Use of an Interactive Tool to Guide Decision Making. NSUWorks (Nova Southeastern University). 4(2). 5. 4 indexed citations
12.
Ellis, James, Philip Warburton, Daniel J Donnelly, & Anthony J. Balmforth. (2005). Conformational induction is the key process for activation of the AT1 receptor. Biochemical Pharmacology. 71(4). 464–471. 5 indexed citations
13.
Maturana, Rakel López de, et al.. (2003). The Isolated N-terminal Domain of the Glucagon-like Peptide-1 (GLP-1) Receptor Binds Exendin Peptides with Much Higher Affinity than GLP-1. Journal of Biological Chemistry. 278(12). 10195–10200. 83 indexed citations
14.
Al‐Sabah, Suleiman & Daniel J Donnelly. (2003). A model for receptor–peptide binding at the glucagon‐like peptide‐1 (GLP‐1) receptor through the analysis of truncated ligands and receptors. British Journal of Pharmacology. 140(2). 339–346. 87 indexed citations
15.
Maturana, Rakel López de & Daniel J Donnelly. (2002). The glucagon‐like peptide‐1 receptor binding site for the N‐terminus of GLP‐1 requires polarity at Asp198 rather than negative charge. FEBS Letters. 530(1-3). 244–248. 52 indexed citations
16.
Donnelly, Daniel J, et al.. (2000). The stress response is repressed during fermentation in brewery strains of yeast. Journal of Applied Microbiology. 88(5). 746–755. 48 indexed citations
17.
Maudsley, Stuart, J P Gent, J. B. C. Findlay, & Daniel J Donnelly. (1998). The relationship between the agonist‐induced activation and desensitization of the human tachykinin NK2 receptor expressed in Xenopus oocytes. British Journal of Pharmacology. 124(4). 675–684. 14 indexed citations
18.
Balmforth, Anthony J., et al.. (1997). The Conformational Change Responsible for AT1 Receptor Activation Is Dependent upon Two Juxtaposed Asparagine Residues on Transmembrane Helices III and VII. Journal of Biological Chemistry. 272(7). 4245–4251. 97 indexed citations
19.
Balmforth, Anthony J., et al.. (1997). G-protein-coupled receptors for peptide hormones: angiotensin II receptors. Biochemical Society Transactions. 25(3). 1041–1046. 4 indexed citations
20.
Donnelly, Daniel J & Richard J. Cogdell. (1993). Predicting the point at which transmembrane helices protrude from the bilayer: a model of the antenna complexes from photosynthetic bacteria. Protein Engineering Design and Selection. 6(6). 629–635. 17 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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