Dion A. Daniels

3.7k total citations
11 papers, 870 citations indexed

About

Dion A. Daniels is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dion A. Daniels has authored 11 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dion A. Daniels's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer-related Molecular Pathways (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Dion A. Daniels is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer-related Molecular Pathways (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Dion A. Daniels collaborates with scholars based in United Kingdom, United States and India. Dion A. Daniels's co-authors include Larry Gold, Hang Chen, Kristine M. Swiderek, Brian J. Hicke, David P. Lane, Andrew J. Brown, Simon J. Dowell, N Aiyar, Weike Bao and Stephen A. Douglas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Dion A. Daniels

11 papers receiving 840 citations

Peers

Dion A. Daniels
Barbara Birkaya United States
David I. Gwynne United Kingdom
Amelia Chang United States
Yan Zhu China
Cornelia Fux Switzerland
Thomas Baechi Switzerland
Barbara Birkaya United States
Dion A. Daniels
Citations per year, relative to Dion A. Daniels Dion A. Daniels (= 1×) peers Barbara Birkaya

Countries citing papers authored by Dion A. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Dion A. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dion A. Daniels. 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 Dion A. Daniels. The network helps show where Dion A. Daniels may publish in the future.

Co-authorship network of co-authors of Dion A. Daniels

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

All Works

11 of 11 papers shown
1.
Brown, Andrew J., Dion A. Daniels, Carl Haslam, et al.. (2011). Pharmacology of GPR55 in Yeast and Identification of GSK494581A as a Mixed-Activity Glycine Transporter Subtype 1 Inhibitor and GPR55 Agonist. Journal of Pharmacology and Experimental Therapeutics. 337(1). 236–246. 56 indexed citations
2.
Lane, J. Robert, David Henderson, Alan Wise, et al.. (2008). Antibodies that identify only the active conformation of G i family G protein α subunits. The FASEB Journal. 22(6). 1924–1932. 15 indexed citations
3.
Johns, David G., David J. Behm, Deborah J. Walker, et al.. (2007). The novel endocannabinoid receptor GPR55 is activated by atypical cannabinoids but does not mediate their vasodilator effects. British Journal of Pharmacology. 152(5). 825–831. 198 indexed citations
4.
Daniels, Dion A., et al.. (2006). In vitro selection of RNA aptamers that block CCL1 chemokine function. Biochemical and Biophysical Research Communications. 349(1). 270–276. 10 indexed citations
5.
Daniels, Dion A., David P. Andrew, Trevor Chapman, et al.. (2005). Identification of Potent and Selective RNA Antagonists of the IFN-γ-Inducible CXCL10 Chemokine. Biochemistry. 44(23). 8449–8460. 20 indexed citations
6.
Daniels, Dion A., Hang Chen, Brian J. Hicke, Kristine M. Swiderek, & Larry Gold. (2003). A tenascin-C aptamer identified by tumor cell SELEX: Systematic evolution of ligands by exponential enrichment. Proceedings of the National Academy of Sciences. 100(26). 15416–15421. 462 indexed citations
7.
Daniels, Dion A., Awinder K. Sohal, Stephen Edward Rees, & Reinhard Grisshammer. (2002). Generation of RNA Aptamers to the G-Protein-Coupled Receptor for Neurotensin, NTS-1. Analytical Biochemistry. 305(2). 214–226. 35 indexed citations
8.
Cohen, Pascale A., Ted R. Hupp, David P. Lane, & Dion A. Daniels. (1999). Biochemical characterization of different conformational states of the Sf9 cell‐purified p53His175 mutant protein. FEBS Letters. 463(1-2). 179–184. 12 indexed citations
9.
Lane, David P., Charles W. Stephen, Alison Sparks, et al.. (1996). Epitope analysis of the murine p53 tumour suppressor protein.. PubMed. 12(11). 2461–6. 30 indexed citations
10.
Daniels, Dion A. & David P. Lane. (1996). Phage Peptide Libraries. Methods. 9(3). 494–507. 13 indexed citations
11.
Daniels, Dion A. & David P. Lane. (1994). The characterisation of p53 binding phage isolated from phage peptide display libraries. Journal of Molecular Biology. 243(4). 639–652. 19 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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