Nicholas P. Lockyer

5.4k total citations · 1 hit paper
108 papers, 4.4k citations indexed

About

Nicholas P. Lockyer is a scholar working on Computational Mechanics, Spectroscopy and Electrical and Electronic Engineering. According to data from OpenAlex, Nicholas P. Lockyer has authored 108 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computational Mechanics, 44 papers in Spectroscopy and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Nicholas P. Lockyer's work include Ion-surface interactions and analysis (78 papers), Mass Spectrometry Techniques and Applications (43 papers) and Integrated Circuits and Semiconductor Failure Analysis (26 papers). Nicholas P. Lockyer is often cited by papers focused on Ion-surface interactions and analysis (78 papers), Mass Spectrometry Techniques and Applications (43 papers) and Integrated Circuits and Semiconductor Failure Analysis (26 papers). Nicholas P. Lockyer collaborates with scholars based in United Kingdom, Sweden and United States. Nicholas P. Lockyer's co-authors include John C. Vickerman, John S. Fletcher, Paul Blenkinsopp, Daniel E. Weibel, Sadia Rabbani, R. Hill, Emrys A. Jones, Noel W. Clarke, Peter Gardner and Alex Henderson and has published in prestigious journals such as Analytical Chemistry, Langmuir and Scientific Reports.

In The Last Decade

Nicholas P. Lockyer

107 papers receiving 4.4k citations

Hit Papers

A C60 Primary Ion Beam System for Time of Flight Secondar... 2003 2026 2010 2018 2003 100 200 300 400

Peers

Nicholas P. Lockyer
E. Niehuis Germany
Melissa K. Passarelli United Kingdom
Shek Fu Wong United States
Keqi Tang China
Peter B. O’Connor United Kingdom
Peter J. Derrick United Kingdom
E. Niehuis Germany
Nicholas P. Lockyer
Citations per year, relative to Nicholas P. Lockyer Nicholas P. Lockyer (= 1×) peers E. Niehuis

Countries citing papers authored by Nicholas P. Lockyer

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas P. Lockyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas P. Lockyer. 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 Nicholas P. Lockyer. The network helps show where Nicholas P. Lockyer may publish in the future.

Co-authorship network of co-authors of Nicholas P. Lockyer

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas P. Lockyer. A scholar is included among the top collaborators of Nicholas P. Lockyer 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 Nicholas P. Lockyer. Nicholas P. Lockyer 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.
Aoyagi, Satoka, David J. H. Cant, M. Dürr, et al.. (2023). Quantitative and Qualitative Analyses of Mass Spectra of OEL Materials by Artificial Neural Network and Interface Evaluation: Results from a VAMAS Interlaboratory Study. Analytical Chemistry. 95(40). 15078–15085. 3 indexed citations
2.
Chisanga, Malama, Howbeer Muhamadali, Danielle McDougall, et al.. (2021). Metabolism in action: stable isotope probing using vibrational spectroscopy and SIMS reveals kinetic and metabolic flux of key substrates. The Analyst. 146(5). 1734–1746. 17 indexed citations
3.
Vickerman, John C., et al.. (2018). The influence of polyatomic primary ion chemistry on matrix effects in secondary ion mass spectrometry analysis. Rapid Communications in Mass Spectrometry. 32(22). 1962–1970. 9 indexed citations
4.
Pérez-Guaita, David, Mark J. Tobin, Keith R. Bambery, et al.. (2017). Probing the action of a novel anti-leukaemic drug therapy at the single cell level using modern vibrational spectroscopy techniques. Scientific Reports. 7(1). 2649–2649. 29 indexed citations
6.
Henderson, Alex, et al.. (2014). Comparing C 60 + and (H 2 O) n + clusters for mouse brain tissue analysis. Surface and Interface Analysis. 46(S1). 136–139. 5 indexed citations
7.
Aoyagi, Satoka, et al.. (2013). Peptide structural analysis using continuous Ar cluster and C60 ion beams. Analytical and Bioanalytical Chemistry. 405(21). 6621–6628. 24 indexed citations
8.
Lockyer, Nicholas P.. (2013). Secondary Ion Mass Spectrometry Imaging of Biological Cells and Tissues. Methods in molecular biology. 1117. 707–732. 15 indexed citations
9.
Kotze, Helen L., Hans V. Westerhoff, Nicholas P. Lockyer, et al.. (2012). Systems Biology of Chemotherapy in Hypoxia Environments. Research Explorer (The University of Manchester). 27(1). 127–127. 2 indexed citations
10.
Bassan, Paul, Achim Köhler, Harald Martens, et al.. (2010). RMieS‐EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing. Journal of Biophotonics. 3(8-9). 609–620. 113 indexed citations
11.
Flower, Kevin R., Paul Bassan, Nicholas P. Lockyer, et al.. (2010). SynchrotronFTIR analysis of drug treated ovarian A2780 cells: an ability to differentiate cell response to different drugs?. The Analyst. 136(3). 498–507. 52 indexed citations
12.
Vaidyanathan, Seetharaman, John S. Fletcher, Roger M. Jarvis, et al.. (2009). Explanatory multivariate analysis of ToF-SIMS spectra for the discrimination of bacterial isolates. The Analyst. 134(11). 2352–2352. 10 indexed citations
13.
Zheng, Leiliang, Carolyn M. McQuaw, Matthew J. Baker, et al.. (2008). Investigating lipid–lipid and lipid–protein interactions in model membranes by ToF-SIMS. Applied Surface Science. 255(4). 1190–1192. 25 indexed citations
14.
Baker, Matthew J., Michael D. Brown, Ehsan Gazi, et al.. (2007). Discrimination of prostate cancer cells and non-malignant cells using secondary ion mass spectrometry. The Analyst. 133(2). 175–179. 29 indexed citations
15.
Gazi, Ehsan, Peter Gardner, Nicholas P. Lockyer, et al.. (2007). Direct evidence of lipid translocation between adipocytes and prostate cancer cells with imaging FTIR microspectroscopy. Journal of Lipid Research. 48(8). 1846–1856. 125 indexed citations
16.
Gazi, Ehsan, Matthew J. Baker, John Dwyer, et al.. (2006). A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour Stage. European Urology. 50(4). 750–761. 106 indexed citations
17.
Gazi, Ehsan, John Dwyer, Nicholas P. Lockyer, et al.. (2003). The combined application of FTIR microspectroscopy and ToF-SIMS imaging in the study of prostate cancer. Faraday Discussions. 126. 41–41. 73 indexed citations
18.
Lockyer, Nicholas P., et al.. (2003). Probing cell chemistry with time‐of‐flight secondary ion mass spectrometry: development and exploitation of instrumentation for studies of frozen‐hydrated biological material. Rapid Communications in Mass Spectrometry. 17(19). 2163–2167. 38 indexed citations
19.
Holland, Grenville, et al.. (2001). Halogen Concentrations and Possible Chlorine Zoning in ALH84001 Measured by Time of Flight SIMS and Electron Probe Microanalysis. Lunar and Planetary Science Conference. 1654. 1 indexed citations
20.
Holland, Grenville, et al.. (2000). Halogen concentration and distribution in Allan Hills 84001 measured by time-of-flight secondary ion mass spectrometry. Meteoritics and Planetary Science. 35. 2 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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