Adam A. Skelton

1.9k total citations
59 papers, 1.5k citations indexed

About

Adam A. Skelton is a scholar working on Organic Chemistry, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, Adam A. Skelton has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 14 papers in Molecular Biology and 14 papers in Physical and Theoretical Chemistry. Recurrent topics in Adam A. Skelton's work include Spectroscopy and Quantum Chemical Studies (8 papers), Computational Drug Discovery Methods (6 papers) and Nanopore and Nanochannel Transport Studies (5 papers). Adam A. Skelton is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (8 papers), Computational Drug Discovery Methods (6 papers) and Nanopore and Nanochannel Transport Studies (5 papers). Adam A. Skelton collaborates with scholars based in South Africa, United Kingdom and United States. Adam A. Skelton's co-authors include Peter T. Cummings, David J. Wesolowski, Tiffany R. Walsh, James D. Kubicki, Paul Fenter, Nikhil Agrawal, Bahareh Honarparvar, Milan Předota, Bice S. Martincigh and Oluwaseun A. Oyetade and has published in prestigious journals such as Physical Review B, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Adam A. Skelton

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam A. Skelton South Africa 21 369 265 264 254 238 59 1.5k
João P. Prates Ramalho Portugal 24 432 1.2× 133 0.5× 250 0.9× 547 2.2× 332 1.4× 103 1.9k
Emily E. Meyer United States 10 353 1.0× 156 0.6× 454 1.7× 212 0.8× 413 1.7× 11 1.9k
Pierre Mignon France 20 316 0.9× 138 0.5× 139 0.5× 266 1.0× 229 1.0× 46 1.2k
Barbara Rossi Italy 26 454 1.2× 342 1.3× 313 1.2× 358 1.4× 125 0.5× 124 2.0k
Jean‐Philippe Renault France 26 809 2.2× 329 1.2× 591 2.2× 490 1.9× 284 1.2× 108 2.6k
Mary T. McBride United States 20 299 0.8× 425 1.6× 406 1.5× 475 1.9× 100 0.4× 27 1.6k
Tao Wei United States 22 292 0.8× 173 0.7× 404 1.5× 343 1.4× 136 0.6× 77 1.7k
U. Wanderlingh Italy 18 452 1.2× 223 0.8× 285 1.1× 354 1.4× 377 1.6× 76 1.4k
Jean-Joseph Ma× Canada 26 418 1.1× 167 0.6× 415 1.6× 159 0.6× 866 3.6× 47 2.4k
Fabienne Testard France 31 1.1k 3.1× 210 0.8× 346 1.3× 211 0.8× 216 0.9× 74 2.6k

Countries citing papers authored by Adam A. Skelton

Since Specialization
Citations

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

Fields of papers citing papers by Adam A. Skelton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam A. Skelton

This figure shows the co-authorship network connecting the top 25 collaborators of Adam A. Skelton. A scholar is included among the top collaborators of Adam A. Skelton 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 Adam A. Skelton. Adam A. Skelton 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.
Ghouri, Zafar Khan, et al.. (2024). Unravelling pH/pKa influence on pH-responsive drug carriers: Insights from ibuprofen-silica interactions and comparative analysis with carbon nanotubes, sulfasalazine, and alendronate. Journal of Molecular Graphics and Modelling. 128. 108720–108720. 9 indexed citations
2.
Skelton, Adam A., et al.. (2023). DFT-based theoretical model for predicting the loading and release of pH-responsive paracetamol drug. Materials Today Proceedings. 3 indexed citations
3.
Jagannadham, V., et al.. (2023). pKas of Five Membered Heterocyclic Ring Systems C4H4XH (X = N, P, As, Sb, Bi, Mc) Including the Novel Hypothetical Molecule Moscole (C4H4McH). Russian Journal of Physical Chemistry A. 97(11). 2463–2469.
4.
Agrawal, Nikhil, Adam A. Skelton, & Emilio Parisini. (2023). A coarse-grained molecular dynamics investigation on spontaneous binding of Aβ1–40 fibrils with cholesterol-mixed DPPC bilayers. Computational and Structural Biotechnology Journal. 21. 2688–2695. 7 indexed citations
5.
Jagannadham, V., et al.. (2021). Theoretical Determination of pKas of P(1)-H Phospholes and their Comparison with N(1)-H Azoles. Australian Journal of Chemistry. 74(9). 660–668. 1 indexed citations
6.
Agrawal, Nikhil, et al.. (2018). Unraveling the mechanism of l-gulonate-3-dehydrogenase inhibition by ascorbic acid: Insights from molecular modeling. Computational Biology and Chemistry. 77. 146–153. 2 indexed citations
7.
Bouhadja, Mohammed & Adam A. Skelton. (2017). Dynamical Properties of Water and Ions at the Quartz (101)–Water Interface at a Range of Solution Conditions: A Classical Molecular Dynamics Study. The Journal of Physical Chemistry C. 122(3). 1535–1546. 25 indexed citations
8.
Skelton, Adam A., et al.. (2017). DFT study of the interaction between DOTA chelator and competitive alkali metal ions. Journal of Molecular Graphics and Modelling. 76. 70–76. 9 indexed citations
9.
10.
Chval, Zdeněk, et al.. (2015). Computer Simulations of Quartz (101)–Water Interface over a Range of pH Values. The Journal of Physical Chemistry C. 119(17). 9274–9286. 108 indexed citations
11.
12.
Honarparvar, Bahareh & Adam A. Skelton. (2015). Molecular dynamics simulation and conformational analysis of some catalytically active peptides. Journal of Molecular Modeling. 21(4). 100–100. 4 indexed citations
13.
14.
Kalhapure, Rahul S., Chunderika Mocktar, Sandeep J. Sonawane, et al.. (2014). Ion pairing with linoleic acid simultaneously enhances encapsulation efficiency and antibacterial activity of vancomycin in solid lipid nanoparticles. Colloids and Surfaces B Biointerfaces. 117. 303–311. 100 indexed citations
15.
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Skelton, Adam A. & Joel Fried. (2013). The insertion of gas molecules into polyhedral oligomeric silsesquioxane (POSS) cages: understanding the energy of insertion using quantum chemical calculations. Physical Chemistry Chemical Physics. 15(12). 4341–4341. 11 indexed citations
17.
Wu, Chunya, Mingjun Chen, Adam A. Skelton, Peter T. Cummings, & Ting Zheng. (2013). Adsorption of Arginine–Glycine–Aspartate Tripeptide onto Negatively Charged Rutile (110) Mediated by Cations: The Effect of Surface Hydroxylation. ACS Applied Materials & Interfaces. 5(7). 2567–2579. 35 indexed citations
18.
Kubicki, James D., Jorge O. Sofo, Adam A. Skelton, & Andrei V. Bandura. (2012). A New Hypothesis for the Dissolution Mechanism of Silicates. The Journal of Physical Chemistry C. 116(33). 17479–17491. 49 indexed citations
19.
Fenter, Paul, et al.. (2010). Direct and quantitative comparison of pixelated density profiles with high-resolution X-ray reflectivity data. Journal of Synchrotron Radiation. 18(2). 257–265. 17 indexed citations
20.
Skelton, Adam A. & Tiffany R. Walsh. (2007). Interaction of liquid water with the rutile TiO2(110) surface. Molecular Simulation. 33(4-5). 379–389. 33 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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