Daniel J. Scott

2.8k total citations
84 papers, 2.1k citations indexed

About

Daniel J. Scott is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel J. Scott has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 29 papers in Public Health, Environmental and Occupational Health and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel J. Scott's work include Pregnancy-related medical research (28 papers), Receptor Mechanisms and Signaling (23 papers) and Neuropeptides and Animal Physiology (17 papers). Daniel J. Scott is often cited by papers focused on Pregnancy-related medical research (28 papers), Receptor Mechanisms and Signaling (23 papers) and Neuropeptides and Animal Physiology (17 papers). Daniel J. Scott collaborates with scholars based in Australia, United States and United Kingdom. Daniel J. Scott's co-authors include Ross A. D. Bathgate, Randall W. Whitcomb, Andrea Dunaif, Diane T. Finegood, Andreas Plückthun, Geoffrey W. Tregear, Sharon Layfield, Paul R. Gooley, Lutz Kummer and Pascal Egloff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel J. Scott

79 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Scott Australia 23 844 813 368 338 186 84 2.1k
Sarah Jones United Kingdom 28 320 0.4× 832 1.0× 95 0.3× 191 0.6× 76 0.4× 80 2.2k
Hsiao Chang Chan Hong Kong 26 197 0.2× 761 0.9× 287 0.8× 128 0.4× 42 0.2× 68 1.7k
Ran Huo China 31 662 0.8× 1.3k 1.6× 662 1.8× 38 0.1× 86 0.5× 118 2.7k
Martina Kočan Australia 24 804 1.0× 524 0.6× 36 0.1× 198 0.6× 42 0.2× 44 1.7k
Andrés D. Maturana Japan 29 91 0.1× 1.7k 2.1× 105 0.3× 685 2.0× 69 0.4× 81 3.4k
Sun‐Uk Kim South Korea 26 429 0.5× 1.2k 1.4× 225 0.6× 69 0.2× 29 0.2× 117 2.2k
S. Dikstein Israel 22 387 0.5× 592 0.7× 49 0.1× 134 0.4× 368 2.0× 94 2.0k
D. M. Robertson United Kingdom 27 541 0.6× 984 1.2× 731 2.0× 69 0.2× 63 0.3× 77 2.3k
Johann Leban United States 27 187 0.2× 1.1k 1.4× 57 0.2× 421 1.2× 55 0.3× 83 2.0k
Chiara Bernardini Italy 23 220 0.3× 458 0.6× 234 0.6× 84 0.2× 18 0.1× 109 1.4k

Countries citing papers authored by Daniel J. Scott

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Scott'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. Scott 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. Scott more than expected).

Fields of papers citing papers by Daniel J. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Scott. A scholar is included among the top collaborators of Daniel J. Scott 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. Scott. Daniel J. Scott 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.
Chalmers, David K., et al.. (2024). The 8-hydroxyquinoline derivative, clioquinol, is an alpha-1 adrenoceptor antagonist. Biochemical Pharmacology. 222. 116092–116092. 4 indexed citations
2.
Brennan, Emily, et al.. (2024). A systematic review of outcomes of total ankle arthroplasty with INBONE II. Foot and Ankle Surgery. 31(3). 190–198.
3.
Barlow, Anders J., Anand Ramakrishnan, Lilith M. Caballero Aguilar, et al.. (2024). Dynamic interface printing. Nature. 634(8036). 1096–1102. 34 indexed citations
4.
Scott, Daniel J., et al.. (2024). Quantitative mechanical stimulation of GPR68 using a novel 96 well flow plugin. Lab on a Chip. 24(6). 1616–1625. 2 indexed citations
5.
Scott, Daniel J., et al.. (2023). NMR applications to GPCR recognition by peptide ligands. Current Opinion in Pharmacology. 70. 102366–102366. 2 indexed citations
6.
Scott, Daniel J., et al.. (2023). Sub-wavelength acoustic stencil for tailored micropatterning. Lab on a Chip. 23(10). 2447–2457. 12 indexed citations
7.
Jameson, Guy N. L., et al.. (2023). Encounter Complexes Between the N-terminal of Neurotensin with the Extracellular Loop 2 of the Neurotensin Receptor 1 Steer Neurotensin to the Orthosteric Binding Pocket. Journal of Molecular Biology. 435(20). 168244–168244. 1 indexed citations
8.
Ang, Ching‐Seng, Shuai Nie, Nicholas A. Williamson, et al.. (2023). Unravelling the mechanism of neurotensin recognition by neurotensin receptor 1. Nature Communications. 14(1). 8155–8155. 3 indexed citations
9.
Bumbak, Fabian, Asuka Inoue, Miquel Pons, et al.. (2023). Stabilization of pre-existing neurotensin receptor conformational states by β-arrestin-1 and the biased allosteric modulator ML314. Nature Communications. 14(1). 3328–3328. 9 indexed citations
10.
Huang, Katherine, et al.. (2022). High yield expression and purification of full-length Neurotensin with pyroglutamate modification. Protein Expression and Purification. 204. 106227–106227. 2 indexed citations
11.
Kočan, Martina, et al.. (2022). A Real-Time, Plate-Based BRET Assay for Detection of cGMP in Primary Cells. International Journal of Molecular Sciences. 23(3). 1908–1908. 5 indexed citations
12.
Williams, Lisa M., Martina Kočan, Michael D. W. Griffin, et al.. (2020). Probing the correlation between ligand efficacy and conformational diversity at the α1A-adrenoreceptor reveals allosteric coupling of its microswitches. Journal of Biological Chemistry. 295(21). 7404–7417. 22 indexed citations
13.
Chalmers, David K., et al.. (2020). INPHARMA‐Based Determination of Ligand Binding Modes at α1‐Adrenergic Receptors Explains the Molecular Basis of Subtype Selectivity. Chemistry - A European Journal. 26(51). 11796–11805. 9 indexed citations
14.
Bumbak, Fabian, Billy J. Williams‐Noonan, Fei Yan, et al.. (2020). Conformational Changes in Tyrosine 11 of Neurotensin Are Required to Activate the Neurotensin Receptor 1. ACS Pharmacology & Translational Science. 3(4). 690–705. 12 indexed citations
15.
Kočan, Martina, et al.. (2019). Using the novel HiBiT tag to label cell surface relaxin receptors for BRET proximity analysis. Pharmacology Research & Perspectives. 7(4). e00513–e00513. 10 indexed citations
16.
Scott, Daniel J., Verena C. Wimmer, Nicholas A. Veldhuis, et al.. (2018). A Novel Ultra-Stable, Monomeric Green Fluorescent Protein For Direct Volumetric Imaging of Whole Organs Using CLARITY. Scientific Reports. 8(1). 667–667. 69 indexed citations
17.
Bathgate, Ross A. D., Martina Kočan, Daniel J. Scott, et al.. (2018). The relaxin receptor as a therapeutic target - perspectives from evolution Cheek for updates and drug targeting. Pharmacology & Therapeutics. 187. 1 indexed citations
18.
Scott, Daniel J., et al.. (2018). Distinct but overlapping binding sites of agonist and antagonist at the relaxin family peptide 3 (RXFP3) receptor. Journal of Biological Chemistry. 293(41). 15777–15789. 13 indexed citations
19.
Shilling, Patrick J., Fabian Bumbak, Daniel J. Scott, Ross A. D. Bathgate, & Paul R. Gooley. (2017). Characterisation of a cell-free synthesised G-protein coupled receptor. Scientific Reports. 7(1). 1094–1094. 14 indexed citations
20.
Sethi, Ashish, Nitin A. Patil, Mohammed Akhter Hossain, et al.. (2016). The complex binding mode of the peptide hormone H2 relaxin to its receptor RXFP1. Nature Communications. 7(1). 11344–11344. 40 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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