Fay Probert

1.2k total citations
50 papers, 704 citations indexed

About

Fay Probert is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Biological Psychiatry. According to data from OpenAlex, Fay Probert has authored 50 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Pathology and Forensic Medicine and 10 papers in Biological Psychiatry. Recurrent topics in Fay Probert's work include Metabolomics and Mass Spectrometry Studies (11 papers), Multiple Sclerosis Research Studies (11 papers) and Tryptophan and brain disorders (10 papers). Fay Probert is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Multiple Sclerosis Research Studies (11 papers) and Tryptophan and brain disorders (10 papers). Fay Probert collaborates with scholars based in United Kingdom, Singapore and United States. Fay Probert's co-authors include Daniel C. Anthony, Jacqueline Palace, Timothy D. W. Claridge, Daniel Radford‐Smith, Maria Isabel Leite, Mark Woodhall, Patrick Waters, Gabriele C. DeLuca, Maciej Juryńczyk and Tianrong Yeo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Fay Probert

43 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fay Probert United Kingdom 15 283 262 199 128 117 50 704
Stig Wergeland Norway 21 777 2.7× 264 1.0× 165 0.8× 106 0.8× 61 0.5× 58 1.2k
Shougang Guo China 16 89 0.3× 162 0.6× 267 1.3× 33 0.3× 63 0.5× 55 698
Sarah Jesse Germany 18 153 0.5× 363 1.4× 490 2.5× 39 0.3× 280 2.4× 43 1.1k
Lan Chu China 13 90 0.3× 340 1.3× 123 0.6× 24 0.2× 109 0.9× 30 642
Thaís B. Ferreira Brazil 15 245 0.9× 125 0.5× 67 0.3× 40 0.3× 32 0.3× 16 613
Friederike Ufer Germany 13 123 0.4× 186 0.7× 299 1.5× 28 0.2× 41 0.4× 24 877
Guido Primiano Italy 16 69 0.2× 429 1.6× 186 0.9× 48 0.4× 100 0.9× 72 847
Xuejun Qin United States 14 60 0.2× 398 1.5× 125 0.6× 51 0.4× 188 1.6× 56 922
Tiina Keränen Finland 11 49 0.2× 134 0.5× 211 1.1× 44 0.3× 95 0.8× 12 681
David A. McDonald United States 11 37 0.1× 299 1.1× 458 2.3× 40 0.3× 115 1.0× 20 986

Countries citing papers authored by Fay Probert

Since Specialization
Citations

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

Fields of papers citing papers by Fay Probert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fay Probert

This figure shows the co-authorship network connecting the top 25 collaborators of Fay Probert. A scholar is included among the top collaborators of Fay Probert 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 Fay Probert. Fay Probert 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.
Pires, Elisabete, et al.. (2025). Integrating NMR and multi-LC-MS-based untargeted metabolomics for comprehensive analysis of blood serum samples. Analytica Chimica Acta. 1356. 343979–343979. 3 indexed citations
2.
Yates, Abi G., Dawn Shepherd, Elisabete Pires, et al.. (2025). Role of B vitamins in modulating homocysteine and metabolic pathways linked to brain atrophy: Metabolomics insights from the VITACOG trial. Alzheimer s & Dementia. 21(7). e70521–e70521.
4.
Anthony, Daniel C., Fay Probert, Anna Gorlova, et al.. (2024). Impact of Serotonin Transporter Absence on Brain Insulin Receptor Expression, Plasma Metabolome Changes, and ADHD-like Behavior in Mice fed a Western Diet. Biomolecules. 14(8). 884–884. 3 indexed citations
5.
Yeo, Tianrong, Archana Ramesh, Sophia Michael, et al.. (2024). Distinct plasma metabolomic signatures differentiate autoimmune encephalitis from drug‐resistant epilepsy. Annals of Clinical and Translational Neurology. 11(7). 1897–1908.
6.
Cader, M. Zameel, et al.. (2024). Extraction Methods for Brain Biopsy NMR Metabolomics: Balancing Metabolite Stability and Protein Precipitation. Metabolites. 14(11). 609–609. 1 indexed citations
7.
Bharucha, Tehmina, Bevin Gangadharan, Laura Gomez Fernandez, et al.. (2024). Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening. npj Vaccines. 9(1). 155–155.
8.
Hjalmar, Viktoria, Henry Ng, Fay Probert, et al.. (2024). Plasma H3Cit-DNA Discriminates Between Cancer and Inflammation in a Cohort of Patients with Unspecific Cancer Symptoms. Inflammation. 48(2). 760–769. 4 indexed citations
9.
McCullagh, James & Fay Probert. (2024). New analytical methods focusing on polar metabolite analysis in mass spectrometry and NMR-based metabolomics. Current Opinion in Chemical Biology. 80. 102466–102466. 8 indexed citations
10.
Schmid, Annina B., Louise Hailey, Mohamed Tachrount, et al.. (2023). Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol. BMJ Open. 13(4). e072832–e072832. 2 indexed citations
11.
Radford‐Smith, Daniel, Daniel C. Anthony, Fee Benz, et al.. (2023). A multivariate blood metabolite algorithm stably predicts risk and resilience to major depressive disorder in the general population. EBioMedicine. 93. 104643–104643. 9 indexed citations
12.
Larkin, James R., Tianrong Yeo, Megan Sealey, et al.. (2022). Metabolomic Biomarkers in Blood Samples Identify Cancers in a Mixed Population of Patients with Nonspecific Symptoms. Clinical Cancer Research. 28(8). 1651–1661. 35 indexed citations
13.
Lennox, Belinda, Patrick Waters, Alasdair Coles, et al.. (2022). The serum metabolomic profile of a distinct, inflammatory subtype of acute psychosis. Molecular Psychiatry. 27(11). 4722–4730. 4 indexed citations
14.
Yeo, Tianrong, Marcus Augusto‐Oliveira, Megan Sealey, et al.. (2022). Metabolomics detects clinically silent neuroinflammatory lesions earlier than neurofilament-light chain in a focal multiple sclerosis animal model. Journal of Neuroinflammation. 19(1). 252–252.
15.
Probert, Fay, Anna Gorlova, Lucien Bettendorff, et al.. (2022). In FUS[1−359]‐tg mice O,S-dibenzoyl thiamine reduces muscle atrophy, decreases glycogen synthase kinase 3 beta, and normalizes the metabolome. Biomedicine & Pharmacotherapy. 156. 113986–113986. 8 indexed citations
16.
Probert, Fay, Tianrong Yeo, Yifan Zhou, et al.. (2021). Integrative biochemical, proteomics and metabolomics cerebrospinal fluid biomarkers predict clinical conversion to multiple sclerosis. Brain Communications. 3(2). fcab084–fcab084. 15 indexed citations
17.
Radford‐Smith, Daniel, et al.. (2020). Mom’s diet matters: Maternal prebiotic intake in mice reduces anxiety and alters brain gene expression and the fecal microbiome in offspring. Brain Behavior and Immunity. 91. 230–244. 23 indexed citations
18.
Yeo, Tianrong, Megan Sealey, Yifan Zhou, et al.. (2020). A blood-based metabolomics test to distinguish relapsing–remitting and secondary progressive multiple sclerosis: addressing practical considerations for clinical application. Scientific Reports. 10(1). 12381–12381. 16 indexed citations
19.
Capitão, Liliana, Fay Probert, Corinna Klinge, et al.. (2020). A single administration of the antibiotic, minocycline, reduces fear processing and improves implicit learning in healthy volunteers: analysis of the serum metabolome. Translational Psychiatry. 10(1). 148–148. 13 indexed citations
20.
Probert, Fay, Victor Ruiz‐Rodado, Daniëlle te Vruchte, et al.. (2017). NMR analysis reveals significant differences in the plasma metabolic profiles of Niemann Pick C1 patients, heterozygous carriers, and healthy controls. Scientific Reports. 7(1). 6320–6320. 18 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

Rankless by CCL
2026