Andrew J. Ballard

59.3k total citations
18 papers, 535 citations indexed

About

Andrew J. Ballard is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Andrew J. Ballard has authored 18 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Computational Theory and Mathematics. Recurrent topics in Andrew J. Ballard's work include Protein Structure and Dynamics (5 papers), Analytical Chemistry and Chromatography (4 papers) and Computational Drug Discovery Methods (4 papers). Andrew J. Ballard is often cited by papers focused on Protein Structure and Dynamics (5 papers), Analytical Chemistry and Chromatography (4 papers) and Computational Drug Discovery Methods (4 papers). Andrew J. Ballard collaborates with scholars based in United Kingdom, United States and Iraq. Andrew J. Ballard's co-authors include David J. Wales, Christopher Jarzynski, Christoph Dellago, Yassmine Chebaro, Debayan Chakraborty, Jacob D. Stevenson, Piotr Mirowski, Andrea Banino, Dharshan Kumaran and Razvan Pascanu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Andrew J. Ballard

17 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Ballard United Kingdom 12 185 126 117 103 99 18 535
Jiahao Chen China 16 204 1.1× 167 1.3× 110 0.9× 40 0.4× 263 2.7× 52 932
Aristides Marcano Olaizola United States 16 87 0.5× 113 0.9× 55 0.5× 166 1.6× 90 0.9× 52 809
Qiang Lu China 15 245 1.3× 135 1.1× 188 1.6× 32 0.3× 76 0.8× 38 578
Jonas Köhler Germany 8 234 1.3× 236 1.9× 129 1.1× 46 0.4× 57 0.6× 23 564
K. E. Gates Australia 9 55 0.3× 99 0.8× 96 0.8× 98 1.0× 124 1.3× 21 592
Qin Qiao China 13 296 1.6× 85 0.7× 39 0.3× 46 0.4× 108 1.1× 22 528
Yukito Iba Japan 9 157 0.8× 91 0.7× 63 0.5× 18 0.2× 56 0.6× 25 374
Xiaotian Jiang China 17 56 0.3× 149 1.2× 233 2.0× 27 0.3× 120 1.2× 57 857
Sebastian J. Wetzel Canada 7 41 0.2× 130 1.0× 117 1.0× 30 0.3× 209 2.1× 9 495
Lutz Molgedey Germany 6 218 1.2× 68 0.5× 180 1.5× 20 0.2× 39 0.4× 9 819

Countries citing papers authored by Andrew J. Ballard

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Ballard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Ballard

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

All Works

18 of 18 papers shown
1.
Liu, C. H., David C. Harrison, Christopher D. Wilen, et al.. (2024). Quasiparticle Poisoning of Superconducting Qubits from Resonant Absorption of Pair-Breaking Photons. Physical Review Letters. 132(1). 17001–17001.
2.
McFarlane, Joanna, Hunter B. Andrews, Jisue Moon, et al.. (2023). The effect of interfacial phenomena on gas solubility measurements in molten salts. Frontiers in Energy Research. 10. 3 indexed citations
3.
Ballard, Andrew J., Hanna Khouryieh, & Kevin M. Williams. (2023). Physical and Oxidative Stability of Cod Liver Oil-in-Water Emulsions Stabilized with Whey Protein/K-Carrageenan Complexes. ACS Food Science & Technology. 3(2). 326–339. 2 indexed citations
4.
Ballard, Andrew J., et al.. (2019). The problem of racemization in drug discovery and tools to predict it. Expert Opinion on Drug Discovery. 14(6). 527–539. 12 indexed citations
5.
Ballard, Andrew J., et al.. (2019). Racemisation in Chemistry and Biology. Chemistry - A European Journal. 26(17). 3661–3687. 11 indexed citations
6.
Ballard, Andrew J., David A. Cosgrove, Péter L. Várkonyi, et al.. (2017). Quantitative Prediction of Rate Constants for Aqueous Racemization To Avoid Pointless Stereoselective Syntheses. Angewandte Chemie International Edition. 57(4). 982–985. 12 indexed citations
7.
Ballard, Andrew J., Ritankar Das, Stefano Martiniani, et al.. (2017). Energy landscapes for machine learning. Physical Chemistry Chemical Physics. 19(20). 12585–12603. 53 indexed citations
8.
Ballard, Andrew J., David A. Cosgrove, Péter L. Várkonyi, et al.. (2017). Quantitative Prediction of Rate Constants for Aqueous Racemization To Avoid Pointless Stereoselective Syntheses. Angewandte Chemie. 130(4). 994–997. 5 indexed citations
9.
Ballard, Andrew J., Jacob D. Stevenson, Ritankar Das, & David J. Wales. (2016). Energy landscapes for a machine learning application to series data. The Journal of Chemical Physics. 144(12). 124119–124119. 19 indexed citations
10.
Mirowski, Piotr, Razvan Pascanu, Fabio Viola, et al.. (2016). Learning to Navigate in Complex Environments. arXiv (Cornell University). 173 indexed citations
11.
Chebaro, Yassmine, Andrew J. Ballard, Debayan Chakraborty, & David J. Wales. (2015). Intrinsically Disordered Energy Landscapes. Scientific Reports. 5(1). 10386–10386. 82 indexed citations
12.
Somani, Sandeep, Yuko Okamoto, Andrew J. Ballard, & David J. Wales. (2015). Equilibrium Molecular Thermodynamics from Kirkwood Sampling. The Journal of Physical Chemistry B. 119(20). 6155–6169. 1 indexed citations
13.
Ballard, Andrew J., Stefano Martiniani, Jacob D. Stevenson, Sandeep Somani, & David J. Wales. (2015). Exploiting the potential energy landscape to sample free energy. Wiley Interdisciplinary Reviews Computational Molecular Science. 5(3). 273–289. 14 indexed citations
14.
Ballard, Andrew J. & David J. Wales. (2014). Superposition-Enhanced Estimation of Optimal Temperature Spacings for Parallel Tempering Simulations. Journal of Chemical Theory and Computation. 10(12). 5599–5605. 10 indexed citations
15.
Ballard, Andrew J. & Christoph Dellago. (2012). Toward the Mechanism of Ionic Dissociation in Water. The Journal of Physical Chemistry B. 116(45). 13490–13497. 55 indexed citations
16.
Ballard, Andrew J. & Christopher Jarzynski. (2012). Replica exchange with nonequilibrium switches: Enhancing equilibrium sampling by increasing replica overlap. The Journal of Chemical Physics. 136(19). 194101–194101. 13 indexed citations
17.
Leach, Andrew G., Elizabeth A. Pilling, Alfred A. Rabow, et al.. (2012). Enantiomeric pairs reveal that key medicinal chemistry parameters vary more than simple physical property based models can explain. MedChemComm. 3(5). 528–528. 20 indexed citations
18.
Ballard, Andrew J. & Christopher Jarzynski. (2009). Replica exchange with nonequilibrium switches. Proceedings of the National Academy of Sciences. 106(30). 12224–12229. 50 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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