Lee A. Gethings

2.1k total citations
66 papers, 1.5k citations indexed

About

Lee A. Gethings is a scholar working on Molecular Biology, Spectroscopy and Immunology and Allergy. According to data from OpenAlex, Lee A. Gethings has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 31 papers in Spectroscopy and 9 papers in Immunology and Allergy. Recurrent topics in Lee A. Gethings's work include Metabolomics and Mass Spectrometry Studies (32 papers), Mass Spectrometry Techniques and Applications (20 papers) and Analytical Chemistry and Chromatography (13 papers). Lee A. Gethings is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (32 papers), Mass Spectrometry Techniques and Applications (20 papers) and Analytical Chemistry and Chromatography (13 papers). Lee A. Gethings collaborates with scholars based in United Kingdom, United States and Australia. Lee A. Gethings's co-authors include James Langridge, Robert S. Plumb, Xiaoying Xu, Ying N. Chan, Yu Hang Leung, Patrick K. H. Lee, Frederick C. Leung, Aleksandra B. Djurišić, Alan Man Ching Ng and Mu Yao Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Cancer Research.

In The Last Decade

Lee A. Gethings

63 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
Lee A. Gethings United Kingdom 20 592 426 318 274 106 66 1.5k
Xianghui Li China 25 901 1.5× 422 1.0× 411 1.3× 44 0.2× 20 0.2× 111 2.1k
Dehua Liu China 22 643 1.1× 159 0.4× 591 1.9× 92 0.3× 17 0.2× 87 2.0k
Xueqin Ding China 28 468 0.8× 247 0.6× 246 0.8× 168 0.6× 10 0.1× 82 2.3k
Carsten Kneuer Germany 25 907 1.5× 339 0.8× 298 0.9× 49 0.2× 86 0.8× 64 2.2k
Tingting Hong China 27 962 1.6× 168 0.4× 513 1.6× 215 0.8× 6 0.1× 111 2.4k
Masahiro Furuno Japan 20 514 0.9× 103 0.2× 304 1.0× 485 1.8× 128 1.2× 53 1.5k
Sergey N. Fedosov Denmark 30 1.5k 2.5× 126 0.3× 186 0.6× 48 0.2× 17 0.2× 91 2.5k
Bo Han China 27 1.1k 1.9× 211 0.5× 467 1.5× 37 0.1× 11 0.1× 129 2.4k
Xiangjun Zhang China 20 500 0.8× 369 0.9× 573 1.8× 166 0.6× 8 0.1× 57 1.7k
Jingjing Hou China 22 733 1.2× 189 0.4× 187 0.6× 52 0.2× 33 0.3× 87 1.8k

Countries citing papers authored by Lee A. Gethings

Since Specialization
Citations

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

Fields of papers citing papers by Lee A. Gethings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee A. Gethings

This figure shows the co-authorship network connecting the top 25 collaborators of Lee A. Gethings. A scholar is included among the top collaborators of Lee A. Gethings 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 Lee A. Gethings. Lee A. Gethings 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.
Huang, Xin, Chiara Nitride, Chris Hughes, et al.. (2025). Proteomic Profiling of Celiac-Toxic Motifs and Allergens in Cereals Containing Gluten. Journal of Proteome Research. 24(5). 2336–2348. 3 indexed citations
2.
Gerichten, Johanna von, Kyle L. Saunders, Melanie J. Bailey, et al.. (2024). Challenges in Lipidomics Biomarker Identification: Avoiding the Pitfalls and Improving Reproducibility. Metabolites. 14(8). 461–461. 7 indexed citations
4.
Gethings, Lee A., Ben Peacock, Andrew J. Capel, et al.. (2024). Extracellular vesicles may provide an alternative detoxification pathway during skeletal muscle myoblast ageing. SHILAP Revista de lepidopterología. 3(8). e171–e171. 1 indexed citations
6.
Wilson, Ian D., Corey D. Broeckling, Lee A. Gethings, et al.. (2023). Development of a single mobile phase for LC-IM-MS-based discovery lipidomics and metabolic phenotyping: Application to methapyrilene hepatotoxicity in the rat. Journal of Chromatography A. 1714. 464552–464552.
8.
Spick, Matt, Hardev Pandha, Agnieszka Michael, et al.. (2023). Multi-omic diagnostics of prostate cancer in the presence of benign prostatic hyperplasia. Heliyon. 9(12). e22604–e22604. 7 indexed citations
9.
King, Adam, Lee A. Gethings, Johannes P.C. Vissers, Robert S. Plumb, & Ian D. Wilson. (2023). Increasing coverage of the urinary polar metabolome using ultra high-performance hydrophobic interaction liquid chromatography combined with linear and cyclic travelling wave ion mobility and mass spectrometry. Journal of Chromatography A. 1714. 464537–464537. 1 indexed citations
10.
Puyvelde, Bart Van, Simon Daled, Sander Willems, et al.. (2022). A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics. Scientific Data. 9(1). 126–126. 32 indexed citations
11.
Hughes, Chris, Lee A. Gethings, Ian D. Wilson, & Robert S. Plumb. (2022). Access to the Phospho-proteome via the Mitigation of Peptide-Metal Interactions. Journal of Chromatography A. 1673. 463024–463024. 5 indexed citations
12.
Charles, David, et al.. (2021). Mass spectrometry-based metabolomics for the discovery of candidate markers of flavonoid and polyphenolic intake in adults. Scientific Reports. 11(1). 5801–5801. 4 indexed citations
13.
Leite, Débora F., Shirish Yakkundi, Lee A. Gethings, et al.. (2021). Glycerophospholipid and detoxification pathways associated with small for gestation age pathophysiology: discovery metabolomics analysis in the SCOPE cohort. Metabolomics. 17(1). 5–5. 11 indexed citations
14.
Xu, Shisan, Fangjing Xie, Li Tian, et al.. (2020). Estrogen accelerates heart regeneration by promoting the inflammatory response in zebrafish. Journal of Endocrinology. 245(1). 39–51. 35 indexed citations
16.
Ross, James A., Johannes P.C. Vissers, Jyoti Nanda, et al.. (2020). The influence of hypoxia on the prostate cancer proteome. Clinical Chemistry and Laboratory Medicine (CCLM). 58(6). 980–993. 13 indexed citations
18.
King, Adam, Lauren Mullin, Ian D. Wilson, et al.. (2019). Development of a rapid profiling method for the analysis of polar analytes in urine using HILIC–MS and ion mobility enabled HILIC–MS. Metabolomics. 15(2). 17–17. 61 indexed citations
19.
Jacobsen, Mette D., Robert J. Beynon, Lee A. Gethings, et al.. (2018). Specificity of the osmotic stress response in Candida albicans highlighted by quantitative proteomics. Scientific Reports. 8(1). 14492–14492. 16 indexed citations
20.
Gethings, Lee A., Keith Richardson, Jason Wildgoose, et al.. (2017). Lipid profiling of complex biological mixtures by liquid chromatography/mass spectrometry using a novel scanning quadrupole data‐independent acquisition strategy. Rapid Communications in Mass Spectrometry. 31(19). 1599–1606. 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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