Matt Spick

624 total citations · 1 hit paper
27 papers, 355 citations indexed

About

Matt Spick is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Matt Spick has authored 27 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Infectious Diseases. Recurrent topics in Matt Spick's work include Metabolomics and Mass Spectrometry Studies (10 papers), Advanced Proteomics Techniques and Applications (6 papers) and COVID-19 Clinical Research Studies (5 papers). Matt Spick is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Advanced Proteomics Techniques and Applications (6 papers) and COVID-19 Clinical Research Studies (5 papers). Matt Spick collaborates with scholars based in United Kingdom, United States and Australia. Matt Spick's co-authors include Melanie J. Bailey, Peter J. Roth, Nathaniel M. Bingham, Catia Costa, Nophar Geifman, Yuman Li, Debra J. Skene, Johanna von Gerichten, Deborah K. Dunn‐Walters and Perdita E. Barran and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Matt Spick

26 papers receiving 349 citations

Hit Papers

Explosion of formulaic research articles, including inapp... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Spick United Kingdom 12 136 112 82 62 40 27 355
George W. Preston United Kingdom 8 170 1.3× 108 1.0× 44 0.5× 13 0.2× 47 1.2× 10 313
Julian David Friedl Austria 13 206 1.5× 76 0.7× 12 0.1× 131 2.1× 27 0.7× 21 515
Seonghoon Kim United States 8 218 1.6× 38 0.3× 14 0.2× 24 0.4× 27 0.7× 12 349
Kristy Wood United States 8 225 1.7× 41 0.4× 20 0.2× 154 2.5× 11 0.3× 9 571
Bernadett Bacsa Austria 12 355 2.6× 176 1.6× 36 0.4× 50 0.8× 23 0.6× 23 525
Diana Guzman‐Villanueva United States 11 167 1.2× 32 0.3× 15 0.2× 91 1.5× 14 0.3× 14 401
Claire Beauvineau France 12 245 1.8× 78 0.7× 47 0.6× 23 0.4× 8 0.2× 20 397
Daniel Carbajo Spain 13 264 1.9× 99 0.9× 20 0.2× 39 0.6× 47 1.2× 22 366
Paul D. May United States 11 205 1.5× 248 2.2× 41 0.5× 15 0.2× 12 0.3× 14 416
Fangfei Li China 9 146 1.1× 104 0.9× 17 0.2× 7 0.1× 9 0.2× 16 425

Countries citing papers authored by Matt Spick

Since Specialization
Citations

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

Fields of papers citing papers by Matt Spick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Spick

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Spick. A scholar is included among the top collaborators of Matt Spick 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 Matt Spick. Matt Spick 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.
Gerichten, Johanna von, Matt Spick, Emily Fraser, et al.. (2025). Single-cell lipidomics: protocol development for reliable cellular profiling using capillary sampling. The Analyst. 150(7). 1261–1270. 4 indexed citations
2.
Spick, Matt, C Isherwood, Lee A. Gethings, et al.. (2025). Challenges and opportunities for statistical power and biomarker identification arising from rhythmic variation in proteomics. PubMed. 2(1). 3–3. 2 indexed citations
3.
Harrison, C. V., et al.. (2025). Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database. PLoS Biology. 23(5). e3003152–e3003152. 20 indexed citations breakdown →
4.
Spick, Matt, et al.. (2025). Safeguarding Open Science from exploitative practices. PLoS Medicine. 22(12). e1004851–e1004851. 2 indexed citations
5.
Barnett, Adrian, et al.. (2025). Dramatic increases in redundant publications in the Generative AI era. BMC Medicine. 24(1). 29–29. 2 indexed citations
6.
Elomaa, Kaisa, Matt Spick, Earn H Gan, Simon H. S. Pearce, & Nophar Geifman. (2025). Variable hyperthyroidism outcomes related to different treatment regimens: an analysis of UK Biobank data. European Thyroid Journal. 14(2). 1 indexed citations
7.
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
8.
Spick, Matt, Cynthia L. Green, Roland Matsouaka, et al.. (2024). Observations from Statistical Review Editors: A Commentary. SHILAP Revista de lepidopterología. 4(6). 100302–100302. 3 indexed citations
9.
Gerichten, Johanna von, et al.. (2024). Single-Cell Lipidomics: An Automated and Accessible Microfluidic Workflow Validated by Capillary Sampling. Analytical Chemistry. 96(44). 17594–17601. 6 indexed citations
10.
Kelly, James T., Jennifer Simpson, Stuart D. Armstrong, et al.. (2024). Viral PIC-pocketing: RSV sequestration of translational preinitiation complexes into bi-phasic biomolecular condensates. Journal of Virology. 98(3). e0015324–e0015324. 5 indexed citations
11.
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
12.
Gerichten, Johanna von, et al.. (2023). Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers. International Journal of Molecular Sciences. 24(18). 14371–14371. 9 indexed citations
13.
Spick, Matt, et al.. (2023). Metabolomic Analysis of Plasma in Huntington’s Disease Transgenic Sheep (Ovis aries) Reveals Progressive Circadian Rhythm Dysregulation. Journal of Huntington s Disease. 12(1). 31–42. 9 indexed citations
14.
Spick, Matt, Olivier Cexus, Bethany Geary, et al.. (2023). A Novel Blood Proteomic Signature for Prostate Cancer. Cancers. 15(4). 1051–1051. 12 indexed citations
15.
Spick, Matt, A. Campbell, Johanna von Gerichten, et al.. (2022). Multi-Omics Reveals Mechanisms of Partial Modulation of COVID-19 Dysregulation by Glucocorticoid Treatment. International Journal of Molecular Sciences. 23(20). 12079–12079. 16 indexed citations
16.
Spick, Matt, Catia Costa, Deborah K. Dunn‐Walters, et al.. (2022). Untargeted saliva metabolomics by liquid chromatography—Mass spectrometry reveals markers of COVID-19 severity. PLoS ONE. 17(9). e0274967–e0274967. 18 indexed citations
17.
Spick, Matt, Catia Costa, Alexander Stewart, et al.. (2022). An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics. Scientific Reports. 12(1). 11867–11867. 22 indexed citations
18.
Spick, Matt, Catia Costa, Deborah K. Dunn‐Walters, et al.. (2021). Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin. EClinicalMedicine. 33. 100786–100786. 21 indexed citations
19.
Spick, Matt, et al.. (2021). Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry. Metabolism. 126. 154922–154922. 17 indexed citations
20.
Salvador, Manuel, Özhan Özkaya, Matt Spick, et al.. (2020). Loss of a pyoverdine secondary receptor in Pseudomonas aeruginosa results in a fitter strain suitable for population invasion. The ISME Journal. 15(5). 1330–1343. 14 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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