Tony Teav

2.0k total citations · 1 hit paper
21 papers, 1.5k citations indexed

About

Tony Teav is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Tony Teav has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Spectroscopy. Recurrent topics in Tony Teav's work include Metabolomics and Mass Spectrometry Studies (14 papers), Mitochondrial Function and Pathology (4 papers) and Analytical Chemistry and Chromatography (3 papers). Tony Teav is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Mitochondrial Function and Pathology (4 papers) and Analytical Chemistry and Chromatography (3 papers). Tony Teav collaborates with scholars based in Switzerland, United Kingdom and United States. Tony Teav's co-authors include Julijana Ivanišević, Héctor Gallart‐Ayala, Xiaoyun Li, Koen Debackere, Chih‐Hung Chou, Charlotte Muret, Wan-Chen Cheng, Ping‐Chih Ho, Tung Chao and Hsien‐Da Huang and has published in prestigious journals such as Nature Immunology, PLoS ONE and Analytical Chemistry.

In The Last Decade

Tony Teav

19 papers receiving 1.4k citations

Hit Papers

α-ketoglutarate orchestrates macrophage activation throug... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony Teav Switzerland 13 799 551 231 230 156 21 1.5k
Yasuhiro Irino Japan 27 1.1k 1.4× 157 0.3× 432 1.9× 386 1.7× 228 1.5× 62 2.1k
Helena Idborg Sweden 21 645 0.8× 257 0.5× 146 0.6× 80 0.3× 85 0.5× 57 1.3k
Sonia R. Salvatore United States 21 754 0.9× 395 0.7× 133 0.6× 367 1.6× 122 0.8× 41 1.6k
Jiahong Sun China 23 658 0.8× 123 0.2× 189 0.8× 171 0.7× 126 0.8× 55 1.4k
Ekaterina A. Ivanova Russia 26 752 0.9× 575 1.0× 202 0.9× 227 1.0× 335 2.1× 54 2.0k
Gustavo Bonacci United States 21 915 1.1× 234 0.4× 141 0.6× 533 2.3× 129 0.8× 34 1.9k
Alma M. Astudillo Spain 25 1.1k 1.3× 232 0.4× 213 0.9× 238 1.0× 221 1.4× 33 1.7k
Dan Zhou China 16 337 0.4× 372 0.7× 131 0.6× 126 0.5× 73 0.5× 38 1.1k
Khadija El Hadri France 23 1.3k 1.6× 385 0.7× 108 0.5× 328 1.4× 252 1.6× 30 1.9k
Todd A. Lydic United States 24 1.1k 1.4× 163 0.3× 230 1.0× 216 0.9× 175 1.1× 63 1.8k

Countries citing papers authored by Tony Teav

Since Specialization
Citations

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

Fields of papers citing papers by Tony Teav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Teav

This figure shows the co-authorship network connecting the top 25 collaborators of Tony Teav. A scholar is included among the top collaborators of Tony Teav 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 Tony Teav. Tony Teav 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.
Medina, Jéssica, Neil H. Goss, Gonçalo dos Santos Correia, et al.. (2025). Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study. Journal of Lipid Research. 66(5). 100780–100780. 3 indexed citations
4.
Carrard, Justin, Héctor Gallart‐Ayala, Tony Teav, et al.. (2024). Circulating amino acid signature features urea cycle alterations associated with coronary artery disease. Scientific Reports. 14(1). 25848–25848. 4 indexed citations
5.
Medina, Jéssica, Tony Teav, Liang Gao, et al.. (2023). Omic-Scale High-Throughput Quantitative LC–MS/MS Approach for Circulatory Lipid Phenotyping in Clinical Research. Analytical Chemistry. 95(6). 3168–3179. 25 indexed citations
6.
Jan, Maxime, Manfredo Quadroni, Tony Teav, et al.. (2023). Molecular insights into sex-specific metabolic alterations in Alzheimer’s mouse brain using multi-omics approach. Alzheimer s Research & Therapy. 15(1). 8–8. 11 indexed citations
7.
Teav, Tony, et al.. (2023). Divergence in metabolomic profile in clownfish and damselfish skin mucus. Frontiers in Ecology and Evolution. 11. 1 indexed citations
8.
Carrard, Justin, Héctor Gallart‐Ayala, Denis Infanger, et al.. (2021). Metabolic View on Human Healthspan: A Lipidome-Wide Association Study. Metabolites. 11(5). 287–287. 17 indexed citations
9.
Carrard, Justin, Héctor Gallart‐Ayala, Tony Teav, et al.. (2021). Metabolic Impairment in Coronary Artery Disease: Elevated Serum Acylcarnitines Under the Spotlights. Frontiers in Cardiovascular Medicine. 8. 792350–792350. 19 indexed citations
10.
Tran, Christel, Licia Turolla, Diana Ballhausen, et al.. (2021). The fate of orally administered sialic acid: First insights from patients with N-acetylneuraminic acid synthase deficiency and control subjects. Molecular Genetics and Metabolism Reports. 28. 100777–100777. 14 indexed citations
11.
Velpen, Vera van der, et al.. (2021). Sex‐specific alterations in NAD+ metabolism in 3xTg Alzheimer’s disease mouse brain assessed by quantitative targeted LC‐MS. Journal of Neurochemistry. 159(2). 378–388. 30 indexed citations
12.
Medina, Jéssica, Vera van der Velpen, Tony Teav, et al.. (2020). Single-Step Extraction Coupled with Targeted HILIC-MS/MS Approach for Comprehensive Analysis of Human Plasma Lipidome and Polar Metabolome. Metabolites. 10(12). 495–495. 52 indexed citations
13.
Gallart‐Ayala, Héctor, Tony Teav, & Julijana Ivanišević. (2020). Metabolomics meets lipidomics: Assessing the small molecule component of metabolism. BioEssays. 42(12). e2000052–e2000052. 27 indexed citations
14.
Velpen, Vera van der, Tony Teav, Héctor Gallart‐Ayala, et al.. (2019). Systemic and central nervous system metabolic alterations in Alzheimer’s disease. Alzheimer s Research & Therapy. 11(1). 93–93. 160 indexed citations
15.
Teav, Tony, Héctor Gallart‐Ayala, Vera van der Velpen, et al.. (2019). Merged Targeted Quantification and Untargeted Profiling for Comprehensive Assessment of Acylcarnitine and Amino Acid Metabolism. Analytical Chemistry. 91(18). 11757–11769. 45 indexed citations
16.
Mehl, Florence, Héctor Gallart‐Ayala, Ioana Konz, et al.. (2018). LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid. Data in Brief. 21. 1358–1362. 1 indexed citations
17.
Domingo-Almenara, Xavier, J. Rafael Montenegro-Burke, Julijana Ivanišević, et al.. (2018). XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules. Nature Methods. 15(9). 681–684. 93 indexed citations
18.
Gallart‐Ayala, Héctor, Ioana Konz, Florence Mehl, et al.. (2018). A global HILIC-MS approach to measure polar human cerebrospinal fluid metabolome: Exploring gender-associated variation in a cohort of elderly cognitively healthy subjects. Analytica Chimica Acta. 1037. 327–337. 56 indexed citations
19.
Forny, Patrick, Hugues Henry, Tony Teav, et al.. (2018). New in vitro model derived from brain-specific Mut-/- mice confirms cerebral ammonium accumulation in methylmalonic aciduria. Molecular Genetics and Metabolism. 124(4). 266–277. 6 indexed citations
20.
Liu, Po‐Tsun, Haiping Wang, Xiaoyun Li, et al.. (2017). α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming. Nature Immunology. 18(9). 985–994. 882 indexed citations breakdown →

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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