Shaun T. Mutter

470 total citations
21 papers, 367 citations indexed

About

Shaun T. Mutter is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Shaun T. Mutter has authored 21 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Spectroscopy. Recurrent topics in Shaun T. Mutter's work include Protein Structure and Dynamics (6 papers), Molecular spectroscopy and chirality (6 papers) and Alzheimer's disease research and treatments (5 papers). Shaun T. Mutter is often cited by papers focused on Protein Structure and Dynamics (6 papers), Molecular spectroscopy and chirality (6 papers) and Alzheimer's disease research and treatments (5 papers). Shaun T. Mutter collaborates with scholars based in United Kingdom, Czechia and Australia. Shaun T. Mutter's co-authors include James A. Platts, Ewan W. Blanch, Paul L. A. Popelier, Christian Johannessen, Matthew Turner, Robert J. Deeth, Konstantinos Gkionis, David I. Ellis, Royston Goodacre and Abdu Subaihi and has published in prestigious journals such as PLoS ONE, Physical Chemistry Chemical Physics and Chemistry - A European Journal.

In The Last Decade

Shaun T. Mutter

21 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaun T. Mutter United Kingdom 13 157 110 93 65 62 21 367
Valeriya Trusova Ukraine 18 442 2.8× 122 1.1× 135 1.5× 49 0.8× 59 1.0× 85 750
William J. Colucci United States 9 273 1.7× 140 1.3× 160 1.7× 42 0.6× 55 0.9× 17 548
Davide Corinti Italy 16 256 1.6× 192 1.7× 115 1.2× 187 2.9× 44 0.7× 46 567
Mariko Aso Japan 14 175 1.1× 29 0.3× 323 3.5× 49 0.8× 27 0.4× 47 541
P. Roychowdhury India 11 316 2.0× 91 0.8× 143 1.5× 62 1.0× 77 1.2× 35 680
Sanjib Ghosh India 14 302 1.9× 74 0.7× 89 1.0× 57 0.9× 34 0.5× 39 520
Soumitra Hazra India 10 276 1.8× 50 0.5× 72 0.8× 81 1.2× 20 0.3× 17 418
Claire Loison France 15 350 2.2× 120 1.1× 79 0.8× 10 0.2× 181 2.9× 33 646
Carl Mensch Belgium 13 197 1.3× 103 0.9× 251 2.7× 10 0.2× 31 0.5× 24 534
Vladimir Krymov United States 9 120 0.8× 53 0.5× 49 0.5× 18 0.3× 34 0.5× 11 362

Countries citing papers authored by Shaun T. Mutter

Since Specialization
Citations

This map shows the geographic impact of Shaun T. Mutter'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 Shaun T. Mutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun T. Mutter more than expected).

Fields of papers citing papers by Shaun T. Mutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaun T. Mutter. 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 Shaun T. Mutter. The network helps show where Shaun T. Mutter may publish in the future.

Co-authorship network of co-authors of Shaun T. Mutter

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun T. Mutter. A scholar is included among the top collaborators of Shaun T. Mutter 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 Shaun T. Mutter. Shaun T. Mutter 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.
Mutter, Shaun T., et al.. (2019). Molecular dynamics simulations of copper binding to amyloid-β Glu22 mutants. Heliyon. 6(1). e03071–e03071. 9 indexed citations
2.
Turner, Matthew, et al.. (2019). Molecular dynamics simulation of aluminium binding to amyloid-β and its effect on peptide structure. PLoS ONE. 14(6). e0217992–e0217992. 22 indexed citations
3.
Pendrill, Robert, Shaun T. Mutter, Carl Mensch, et al.. (2019). Solution Structure of Mannobioses Unravelled by Means of Raman Optical Activity. ChemPhysChem. 20(5). 695–705. 14 indexed citations
4.
Andrushchenko, Valery, Sarah J. Pike, George F. S. Whitehead, et al.. (2018). Optically Active Vibrational Spectroscopy of α‐Aminoisobutyric Acid Foldamers in Organic Solvents and Phospholipid Bilayers. Chemistry - A European Journal. 24(37). 9399–9408. 20 indexed citations
5.
Mutter, Shaun T., et al.. (2018). Ligand field molecular dynamics simulation of Pt(II)-phenanthroline binding to N-terminal fragment of amyloid-β peptide. PLoS ONE. 13(3). e0193668–e0193668. 6 indexed citations
6.
Turner, Matthew, Shaun T. Mutter, & James A. Platts. (2018). Molecular dynamics simulation on the effect of transition metal binding to the N-terminal fragment of amyloid-β. Journal of Biomolecular Structure and Dynamics. 37(17). 4590–4600. 12 indexed citations
7.
Mutter, Shaun T., Matthew Turner, Robert J. Deeth, & James A. Platts. (2018). Metal Binding to Amyloid-β1–42: A Ligand Field Molecular Dynamics Study. ACS Chemical Neuroscience. 9(11). 2795–2806. 19 indexed citations
8.
Subaihi, Abdu, Howbeer Muhamadali, Shaun T. Mutter, et al.. (2017). Quantitative detection of codeine in human plasma using surface-enhanced Raman scattering via adaptation of the isotopic labelling principle. The Analyst. 142(7). 1099–1105. 31 indexed citations
9.
Subaihi, Abdu, Yun Xu, Howbeer Muhamadali, et al.. (2017). Towards improved quantitative analysis using surface-enhanced Raman scattering incorporating internal isotope labelling. Analytical Methods. 9(47). 6636–6644. 20 indexed citations
10.
Mutter, Shaun T., et al.. (2017). Benchmarking of copper(II) LFMM parameters for studying amyloid-β peptides. Journal of Biomolecular Structure and Dynamics. 36(5). 1145–1153. 11 indexed citations
11.
Mutter, Shaun T., et al.. (2016). Distinguishing Epimers Through Raman Optical Activity. The Journal of Physical Chemistry A. 120(11). 1908–1916. 16 indexed citations
12.
Mutter, Shaun T., et al.. (2015). Calculation of Raman optical activity spectra for vibrational analysis. The Analyst. 140(9). 2944–2956. 25 indexed citations
13.
14.
Mutter, Shaun T., et al.. (2015). The Raman optical activity of β-d-xylose: where experiment and computation meet. Physical Chemistry Chemical Physics. 17(34). 21799–21809. 27 indexed citations
15.
Mutter, Shaun T., Nicola Margiotta, Paride Papadia, & James A. Platts. (2014). Computational evidence for structural consequences of kiteplatin damage on DNA. JBIC Journal of Biological Inorganic Chemistry. 20(1). 35–48. 11 indexed citations
16.
Margiotta, Nicola, Emanuele Petruzzella, James A. Platts, et al.. (2014). DNA fragment conformations in adducts with Kiteplatin. Dalton Transactions. 44(8). 3544–3556. 9 indexed citations
17.
Gkionis, Konstantinos, Shaun T. Mutter, & James A. Platts. (2013). QM/MM description of platinum–DNA interactions: comparison of binding and DNA distortion of five drugs. RSC Advances. 3(12). 4066–4066. 29 indexed citations
18.
Brazier, John B., et al.. (2011). Iminium ion catalysis: direct comparison of imidazolidinone and diarylprolinol ether reactivity. Tetrahedron Letters. 52(21). 2783–2785. 9 indexed citations
19.
Mutter, Shaun T. & James A. Platts. (2011). Density Functional Theory Studies of Interactions of Ruthenium–Arene Complexes with Base Pair Steps. The Journal of Physical Chemistry A. 115(41). 11293–11302. 22 indexed citations
20.
Mutter, Shaun T. & James A. Platts. (2010). Modulation of Stacking Interactions by Transition‐Metal Coordination: Ab Initio Benchmark Studies. Chemistry - A European Journal. 16(18). 5391–5399. 17 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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