David J. Bray

1.4k total citations
46 papers, 1.0k citations indexed

About

David J. Bray is a scholar working on Organic Chemistry, Oncology and Inorganic Chemistry. According to data from OpenAlex, David J. Bray has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 13 papers in Oncology and 13 papers in Inorganic Chemistry. Recurrent topics in David J. Bray's work include Metal complexes synthesis and properties (13 papers), Surfactants and Colloidal Systems (10 papers) and Metal-Organic Frameworks: Synthesis and Applications (8 papers). David J. Bray is often cited by papers focused on Metal complexes synthesis and properties (13 papers), Surfactants and Colloidal Systems (10 papers) and Metal-Organic Frameworks: Synthesis and Applications (8 papers). David J. Bray collaborates with scholars based in United Kingdom, Australia and Germany. David J. Bray's co-authors include R. L. Anderson, Patrick B. Warren, Leonard F. Lindoy, Jack K. Clegg, Annalaura Del Regno, Katrina A. Jolliffe, Ambrose C. Taylor, F.J. Guild, K. Gloe and Karsten Gloe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

David J. Bray

45 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Bray United Kingdom 19 402 308 211 196 164 46 1.0k
Chia‐Wei Hsu Taiwan 20 511 1.3× 359 1.2× 383 1.8× 193 1.0× 143 0.9× 41 1.7k
Jitendra Kumar India 19 240 0.6× 637 2.1× 366 1.7× 268 1.4× 175 1.1× 69 1.3k
Xiaoyuan Li China 22 372 0.9× 731 2.4× 129 0.6× 330 1.7× 170 1.0× 81 1.8k
Mohamed Y. El‐Sayed Egypt 21 278 0.7× 197 0.6× 55 0.3× 151 0.8× 141 0.9× 94 1.3k
Takeshi Hashimoto Japan 21 445 1.1× 420 1.4× 166 0.8× 161 0.8× 315 1.9× 145 1.6k
Guolin Xu United States 26 1.1k 2.7× 341 1.1× 286 1.4× 390 2.0× 345 2.1× 81 2.0k
Fabio Borbone Italy 26 326 0.8× 938 3.0× 147 0.7× 599 3.1× 120 0.7× 81 2.0k
David Olea Spain 20 188 0.5× 569 1.8× 240 1.1× 293 1.5× 105 0.6× 29 1.3k

Countries citing papers authored by David J. Bray

Since Specialization
Citations

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

Fields of papers citing papers by David J. Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Bray

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Bray. A scholar is included among the top collaborators of David J. Bray 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 J. Bray. David J. Bray 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.
Warren, Patrick B., et al.. (2025). Modeling Contact Angles with Chemically Specific Dissipative Particle Dynamics. Langmuir. 41(6). 3877–3887. 1 indexed citations
2.
Booth, Jonathan, et al.. (2024). Simulating micelle self-assembly to assess potential for viscosity build in surfactant formulations. SHILAP Revista de lepidopterología. 4. 3 indexed citations
3.
Tesei, Giulio, Ya‐Wen Hsiao, Aleksandra P. Dabkowska, et al.. (2024). Lipid shape and packing are key for optimal design of pH-sensitive mRNA lipid nanoparticles. Proceedings of the National Academy of Sciences. 121(2). e2311700120–e2311700120. 33 indexed citations
4.
Noble, James E., Ya‐Wen Hsiao, Emiliana De Santis, et al.. (2024). A Nonlinear Peptide Topology for Synthetic Virions. ACS Nano. 18(43). 29956–29967.
5.
Hsiao, Ya‐Wen, et al.. (2023). Structure adaptation in Omicron SARS-CoV-2/hACE2: Biophysical origins of evolutionary driving forces. Biophysical Journal. 122(20). 4057–4067. 4 indexed citations
6.
Anderson, R. L., et al.. (2023). Phase Behavior of Alkyl Ethoxylate Surfactants in a Dissipative Particle Dynamics Model. The Journal of Physical Chemistry B. 127(7). 1674–1687. 6 indexed citations
7.
Regno, Annalaura Del, Patrick B. Warren, David J. Bray, & R. L. Anderson. (2021). Critical Micelle Concentrations in Surfactant Mixtures and Blends by Simulation. The Journal of Physical Chemistry B. 125(22). 5983–5990. 35 indexed citations
8.
Bray, David J., et al.. (2020). The Role of Chemical Heterogeneity in Surfactant Adsorption at Solid–Liquid Interfaces. ePubs (Science and Technology Facilities Council, Research Councils UK). 14 indexed citations
9.
McDonagh, James L., William C. Swope, R. L. Anderson, Michael A. Johnston, & David J. Bray. (2020). What can digitisation do for formulated product innovation and development?. Polymer International. 70(3). 248–255. 12 indexed citations
10.
Bray, David J., Annalaura Del Regno, & R. L. Anderson. (2019). UMMAP: a statistical analysis software package for molecular modelling. Molecular Simulation. 46(4). 308–322. 15 indexed citations
11.
Bray, David J., Tiffany R. Walsh, Massimo G. Noro, & Rebecca Notman. (2015). Complete Structure of an Epithelial Keratin Dimer: Implications for Intermediate Filament Assembly. PLoS ONE. 10(7). e0132706–e0132706. 31 indexed citations
12.
Bray, David J., Jack K. Clegg, Marco Wenzel, et al.. (2014). Selective Solvent Extraction of Silver(i) by Tris-Pyridyl Tripodal Ligands and X-Ray Structure of a Silver(i) Coordination Polymer Incorporating One Such Ligand. Australian Journal of Chemistry. 68(4). 549–554. 4 indexed citations
13.
Antonioli, B., David J. Bray, Jack K. Clegg, et al.. (2008). Interaction of copper(II) and palladium(II) with linked 2,2′-dipyridylamine derivatives: Synthetic and structural studies. Polyhedron. 27(13). 2889–2898. 24 indexed citations
14.
Bray, David J., B. Antonioli, Jack K. Clegg, et al.. (2008). Assembly of a trinuclear metallo-capsule from a tripodal tris(β-diketone) derivative and copper(ii). Dalton Transactions. 1683–1683. 21 indexed citations
15.
16.
Clegg, Jack K., David J. Bray, K. Gloe, et al.. (2007). Neutral (bis-β-diketonato) iron(iii), cobalt(ii), nickel(ii), copper(ii) and zinc(ii) metallocycles: structural, electrochemical and solvent extraction studies. Dalton Transactions. 1719–1730. 38 indexed citations
17.
Bray, David J., Michael Swift, & P. J. King. (2007). Velocity statistics in dissipative, dense granular media. Physical Review E. 75(6). 62301–62301. 6 indexed citations
18.
Antonioli, B., David J. Bray, Jack K. Clegg, et al.. (2006). Silver(i) complexation of linked 2,2′-dipyridylamine derivatives. Synthetic, solvent extraction, membrane transport and X-ray structural studies. Dalton Transactions. 4783–4794. 50 indexed citations
19.
20.
Antonioli, B., David J. Bray, Jack K. Clegg, et al.. (2006). Proton and anion control of framework complexity in copper(II) complex structures derived from 2-(hydroxymethyl)pyridine. Polyhedron. 26(3). 673–678. 16 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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