Tom Dunkley

2.9k total citations
16 papers, 1.4k citations indexed

About

Tom Dunkley is a scholar working on Molecular Biology, Spectroscopy and Neurology. According to data from OpenAlex, Tom Dunkley has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Spectroscopy and 2 papers in Neurology. Recurrent topics in Tom Dunkley's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Tom Dunkley is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Tom Dunkley collaborates with scholars based in United Kingdom, Switzerland and United States. Tom Dunkley's co-authors include Kathryn S. Lilley, Paul Dupree, Ian Shadforth, Conrad Bessant, Julian L. Griffin, Rachel Watson, Rod B. Watson, Thilo Weimar, Svenja Hester and John Runions and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Tom Dunkley

16 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Dunkley United Kingdom 15 1.1k 554 339 226 68 16 1.4k
Nancy L. Andon United States 13 827 0.8× 260 0.5× 243 0.7× 143 0.6× 68 1.0× 16 1.3k
Delphine Pflieger France 21 1.6k 1.5× 316 0.6× 641 1.9× 160 0.7× 53 0.8× 38 2.1k
Mathew Traini Australia 16 814 0.8× 385 0.7× 113 0.3× 98 0.4× 79 1.2× 25 1.3k
Matthew J. McKay Australia 23 606 0.6× 292 0.5× 197 0.6× 91 0.4× 110 1.6× 55 1.2k
Navin Rauniyar United States 15 743 0.7× 338 0.6× 96 0.3× 249 1.1× 52 0.8× 17 1.1k
Ilaria Piazza Germany 12 925 0.9× 314 0.6× 78 0.2× 132 0.6× 31 0.5× 23 1.2k
Shuai Guo China 19 967 0.9× 383 0.7× 94 0.3× 58 0.3× 65 1.0× 53 1.3k
Xiaojun Li China 15 1.3k 1.2× 653 1.2× 117 0.3× 69 0.3× 111 1.6× 37 1.7k
Rachel Rowlinson United Kingdom 14 1.1k 1.1× 611 1.1× 44 0.1× 158 0.7× 80 1.2× 17 1.5k
Juanying Ye China 17 903 0.9× 312 0.6× 396 1.2× 41 0.2× 116 1.7× 24 1.4k

Countries citing papers authored by Tom Dunkley

Since Specialization
Citations

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

Fields of papers citing papers by Tom Dunkley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Dunkley. 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 Tom Dunkley. The network helps show where Tom Dunkley may publish in the future.

Co-authorship network of co-authors of Tom Dunkley

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

All Works

16 of 16 papers shown
1.
Tsai, Tsung‐Heng, Meena Choi, Balázs Bánfai, et al.. (2020). Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments. Molecular & Cellular Proteomics. 19(6). 944–959. 21 indexed citations
2.
Huang, Ting, Meena Choi, Manuel Tzouros, et al.. (2020). MSstatsTMT: Statistical Detection of Differentially Abundant Proteins in Experiments with Isobaric Labeling and Multiple Mixtures. Molecular & Cellular Proteomics. 19(10). 1706–1723. 92 indexed citations
3.
4.
Cortés-Cabrera, Álvaro, Esther Melo, Doris Roth, et al.. (2017). HtrA1 activation is driven by an allosteric mechanism of inter-monomer communication. Scientific Reports. 7(1). 14804–14804. 20 indexed citations
5.
Dunkley, Tom, Mark Cockerill, Rachel Rowlinson, et al.. (2015). Identification of DYRK1B as a substrate of ERK1/2 and characterisation of the kinase activity of DYRK1B mutants from cancer and metabolic syndrome. Cellular and Molecular Life Sciences. 73(4). 883–900. 27 indexed citations
6.
Dunkley, Tom, Veronica Costa, Arno Friedlein, et al.. (2015). Characterization of a human pluripotent stem cell‐derived model of neuronal development using multiplexed targeted proteomics. PROTEOMICS - CLINICAL APPLICATIONS. 9(7-8). 684–694. 15 indexed citations
7.
Heikkinen, Aki T., Arno Friedlein, Mariette Matondo, et al.. (2014). Quantitative ADME Proteomics – CYP and UGT Enzymes in the Beagle Dog Liver and Intestine. Pharmaceutical Research. 32(1). 74–90. 45 indexed citations
8.
9.
Nikolovski, Nino, Denis V. Rubtsov, Marcelo P. Segura-Lepe, et al.. (2012). Putative Glycosyltransferases and Other Plant Golgi Apparatus Proteins Are Revealed by LOPIT Proteomics  . PLANT PHYSIOLOGY. 160(2). 1037–1051. 125 indexed citations
10.
Trotter, Matthew, Paweł Sadowski, Tom Dunkley, Arnoud Groen, & Kathryn S. Lilley. (2010). Improved sub‐cellular resolution via simultaneous analysis of organelle proteomics data across varied experimental conditions. PROTEOMICS. 10(23). 4213–4219. 35 indexed citations
11.
Lilley, Kathryn S. & Tom Dunkley. (2008). Determination of Genuine Residents of Plant Endomembrane Organelles using Isotope Tagging and Multivariate Statistics. Methods in molecular biology. 432. 373–387. 11 indexed citations
12.
Dunkley, Tom, Svenja Hester, Ian Shadforth, et al.. (2006). Mapping the Arabidopsis organelle proteome. Proceedings of the National Academy of Sciences. 103(17). 6518–6523. 403 indexed citations
13.
Shadforth, Ian, Tom Dunkley, Kathryn S. Lilley, Daniel Crowther, & Conrad Bessant. (2005). Confident protein identification using the average peptide score method coupled with search‐specific, ab initio thresholds. Rapid Communications in Mass Spectrometry. 19(22). 3363–3368. 21 indexed citations
14.
Shadforth, Ian, Tom Dunkley, Kathryn S. Lilley, & Conrad Bessant. (2005). i-Tracker: For quantitative proteomics using iTRAQ™. BMC Genomics. 6(1). 145–145. 231 indexed citations
15.
Dunkley, Tom, Rachel Watson, Julian L. Griffin, Paul Dupree, & Kathryn S. Lilley. (2004). Localization of Organelle Proteins by Isotope Tagging (LOPIT). Molecular & Cellular Proteomics. 3(11). 1128–1134. 260 indexed citations
16.
Dunkley, Tom, Paul Dupree, Rod B. Watson, & Kathryn S. Lilley. (2004). The use of isotope-coded affinity tags (ICAT) to study organelle proteomes in Arabidopsis thaliana. Biochemical Society Transactions. 32(3). 520–523. 43 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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