Luke Whiley

2.5k total citations
44 papers, 1.6k citations indexed

About

Luke Whiley is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Luke Whiley has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Epidemiology and 9 papers in Spectroscopy. Recurrent topics in Luke Whiley's work include Metabolomics and Mass Spectrometry Studies (28 papers), Mass Spectrometry Techniques and Applications (8 papers) and Analytical Chemistry and Chromatography (5 papers). Luke Whiley is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (28 papers), Mass Spectrometry Techniques and Applications (8 papers) and Analytical Chemistry and Chromatography (5 papers). Luke Whiley collaborates with scholars based in United Kingdom, Australia and United States. Luke Whiley's co-authors include Cristina Legido‐Quigley, Jeremy K. Nicholson, Elaine Holmes, Simon Lovestone, Patrizia Mecocci, Iwona Kłoszewska, Magda Tsolaki, Bruno Vellas, Petroula Proitsi and Hilkka Soininen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Nature Methods.

In The Last Decade

Luke Whiley

41 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Whiley United Kingdom 17 1.0k 458 276 185 169 44 1.6k
Kiyoyuki Kitaichi Japan 32 848 0.8× 336 0.7× 183 0.7× 44 0.2× 71 0.4× 113 2.8k
Longfei Jia China 19 982 1.0× 488 1.1× 232 0.8× 39 0.2× 38 0.2× 33 1.7k
Maria Almira Correia United States 32 1.4k 1.3× 209 0.5× 182 0.7× 91 0.5× 52 0.3× 83 2.8k
Hualin Cai China 26 589 0.6× 309 0.7× 450 1.6× 124 0.7× 38 0.2× 106 1.9k
Elżbieta Wyska Poland 26 671 0.7× 199 0.4× 227 0.8× 46 0.2× 55 0.3× 111 2.0k
Adrie Dane Netherlands 19 793 0.8× 377 0.8× 50 0.2× 248 1.3× 34 0.2× 27 1.5k
Gustavo C. Ferreira Brazil 29 1.5k 1.4× 641 1.4× 162 0.6× 16 0.1× 176 1.0× 114 2.7k
Aaron M. Armando United States 24 1.2k 1.2× 472 1.0× 51 0.2× 291 1.6× 32 0.2× 42 2.3k
Claire Boursier-Neyret France 12 468 0.5× 152 0.3× 56 0.2× 136 0.7× 93 0.6× 18 1.1k
Bernard Walther France 25 794 0.8× 214 0.5× 66 0.2× 236 1.3× 65 0.4× 46 1.9k

Countries citing papers authored by Luke Whiley

Since Specialization
Citations

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

Fields of papers citing papers by Luke Whiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Whiley

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Whiley. A scholar is included among the top collaborators of Luke Whiley 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 Luke Whiley. Luke Whiley 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.
2.
Wist, Julien, Ferdous Sohel, Kok Wai Wong, et al.. (2025). Analytical quality control in targeted lipidomics: Evaluating the performance of commercial plasma as a surrogate for pooled study samples. Analytica Chimica Acta. 1365. 344225–344225.
3.
Lawler, Nathan G., Lael M. Yonker, Samantha Lodge, et al.. (2025). Children with Post COVID-19 Multisystem Inflammatory Syndrome Display Unique Pathophysiological Metabolic Phenotypes. Journal of Proteome Research. 24(7). 3470–3483. 1 indexed citations
4.
5.
Agrawal, Ruchi, Anusha Jayaraman, Katherine A. Martin, et al.. (2024). Microbial Indoles: Key Regulators of Organ Growth and Metabolic Function. Microorganisms. 12(4). 719–719. 5 indexed citations
6.
Whiley, Luke, Nathan G. Lawler, Sung‐Tong Chin, et al.. (2024). Cross-Validation of Metabolic Phenotypes in SARS-CoV-2 Infected Subpopulations Using Targeted Liquid Chromatography–Mass Spectrometry (LC-MS). Journal of Proteome Research. 23(4). 1313–1327. 3 indexed citations
7.
Whiley, Luke, Nicola Gray, Melvin Gay, et al.. (2024). Rapid and Self-Administrable Capillary Blood Microsampling Demonstrates Statistical Equivalence with Standard Venous Collections in NMR-Based Lipoprotein Analysis. Analytical Chemistry. 96(11). 4505–4513. 4 indexed citations
8.
Whiley, Luke, et al.. (2024). A plasma lipid signature in acute human traumatic brain injury: Link with neuronal injury and inflammation markers. Journal of Cerebral Blood Flow & Metabolism. 45(3). 443–458. 4 indexed citations
9.
Lodge, Samantha, Nathan G. Lawler, Nicola Gray, et al.. (2023). Integrative Plasma Metabolic and Lipidomic Modelling of SARS-CoV-2 Infection in Relation to Clinical Severity and Early Mortality Prediction. International Journal of Molecular Sciences. 24(14). 11614–11614. 13 indexed citations
10.
Lawler, Nathan G., Mark W. Fear, Edward Raby, et al.. (2023). Comprehensive Lipidomic Workflow for Multicohort Population Phenotyping Using Stable Isotope Dilution Targeted Liquid Chromatography-Mass Spectrometry. Journal of Proteome Research. 22(5). 1419–1433. 21 indexed citations
11.
Holmes, Elaine, Jeremy K. Nicholson, Mark W. Fear, et al.. (2023). Plasma lipidomics reveal systemic changes persistent throughout early life following a childhood burn injury. Burns & Trauma. 11. tkad044–tkad044. 2 indexed citations
12.
Anyaegbu, Chidozie C., Sarah C. Hellewell, Nathan G. Lawler, et al.. (2022). Plasma Lipid Profiles Change with Increasing Numbers of Mild Traumatic Brain Injuries in Rats. Metabolites. 12(4). 322–322. 8 indexed citations
13.
Whiley, Luke, et al.. (2022). Associations of the Lipidome with Ageing, Cognitive Decline and Exercise Behaviours. Metabolites. 12(9). 822–822. 8 indexed citations
14.
Whiley, Luke, et al.. (2022). Advanced Microsamples: Current Applications and Considerations for Mass Spectrometry-Based Metabolic Phenotyping Pipelines. Separations. 9(7). 175–175. 12 indexed citations
15.
Yeung, Kai Tai Derek, Nicholas Penney, Luke Whiley, et al.. (2022). The impact of bariatric surgery on serum tryptophan–kynurenine pathway metabolites. Scientific Reports. 12(1). 294–294. 8 indexed citations
16.
Chin, Sung‐Tong, Kok Wai Wong, Sze-How Bong, et al.. (2022). Targeted lipidomics coupled with machine learning for authenticating the provenance of chicken eggs. Food Chemistry. 410. 135366–135366. 13 indexed citations
17.
Gray, Nicola, Nathan G. Lawler, Sze-How Bong, et al.. (2021). Diagnostic Potential of the Plasma Lipidome in Infectious Disease: Application to Acute SARS-CoV-2 Infection. Metabolites. 11(7). 467–467. 28 indexed citations
18.
Kimhofer, Torben, Samantha Lodge, Luke Whiley, et al.. (2021). Correction to “Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection”. Journal of Proteome Research. 20(6). 3400–3400. 1 indexed citations
19.
Martin, Katherine A., Ruchi Agrawal, Luke Whiley, et al.. (2021). Tryptophan-metabolizing gut microbes regulate adult neurogenesis via the aryl hydrocarbon receptor. Proceedings of the National Academy of Sciences. 118(27). 136 indexed citations
20.
Gray, Nicola, Nathan G. Lawler, Rongchang Yang, et al.. (2020). A simultaneous exploratory and quantitative amino acid and biogenic amine metabolic profiling platform for rapid disease phenotyping via UPLC-QToF-MS. Talanta. 223(Pt 2). 121872–121872. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kiyoyuki Kitaichi Breakdown of academic impact, for papers by Longfei Jia Breakdown of academic impact, for papers by Maria Almira Correia Breakdown of academic impact, for papers by Hualin Cai Breakdown of academic impact, for papers by Elżbieta Wyska Breakdown of academic impact, for papers by Adrie Dane Breakdown of academic impact, for papers by Gustavo C. Ferreira Breakdown of academic impact, for papers by Aaron M. Armando Breakdown of academic impact, for papers by Claire Boursier-Neyret Breakdown of academic impact, for papers by Bernard Walther
Rankless by CCL
2026