Gaia Meoni

1.2k total citations
30 papers, 797 citations indexed

About

Gaia Meoni is a scholar working on Molecular Biology, Complementary and alternative medicine and Food Science. According to data from OpenAlex, Gaia Meoni has authored 30 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Complementary and alternative medicine and 5 papers in Food Science. Recurrent topics in Gaia Meoni's work include Metabolomics and Mass Spectrometry Studies (23 papers), Traditional Chinese Medicine Studies (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Gaia Meoni is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (23 papers), Traditional Chinese Medicine Studies (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Gaia Meoni collaborates with scholars based in Italy, United Kingdom and South Africa. Gaia Meoni's co-authors include Leonardo Tenori, Claudio Luchinat, Paola Turano, Veronica Ghini, Alessia Vignoli, Panteleimon G. Takis, Cristina Licari, Mario Aimetti, Federica Romano and Giacomo Baima and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Gaia Meoni

27 papers receiving 793 citations

Peers

Gaia Meoni

PHYSI

PERIO

SPECT

Géraldine Lucchi France

Benita Percival United Kingdom

Rico J. E. Derks Netherlands

Darrell D. Marshall United States

Grégory Hamm United Kingdom

Joseph N. Brown United States

Rojeet Shrestha Japan

Y Kawakami Japan

Chari D. Smith United States

Géraldine Lucchi France

Gaia Meoni

251 ×0.5

215 ×1.6

PHYSI

75 ×0.6

PERIO

65 ×0.7

SPECT

44 ×0.5

Citations per year, relative to Gaia Meoni Gaia Meoni (= 1×) peers Géraldine Lucchi

Countries citing papers authored by Gaia Meoni

Since Specialization

Citations

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

Fields of papers citing papers by Gaia Meoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Meoni

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Meoni. A scholar is included among the top collaborators of Gaia Meoni 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 Gaia Meoni. Gaia Meoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Meoni, Gaia, et al.. (2025). A metabolic profiling approach to characterize and discriminate plant-based beverages and milk. Journal of Dairy Science. 108(6). 5675–5695.

Meoni, Gaia, Leonardo Tenori, Stefano Brizzolara, et al.. (2025). NMR-based metabolomic approach to estimate chemical and sensorial profiles of olive oil. Computational and Structural Biotechnology Journal. 27. 1359–1369.

Franzoi, Marco, Giovanni Niero, Gaia Meoni, et al.. (2023). Effectiveness of mid-infrared spectroscopy for the prediction of cow milk metabolites. Journal of Dairy Science. 106(8). 5288–5297. 5 indexed citations

Russo, Edda, Giulia Nannini, Gaia Meoni, et al.. (2023). From adenoma to CRC stages: the oral-gut microbiome axis as a source of potential microbial and metabolic biomarkers of malignancy. Neoplasia. 40. 100901–100901. 20 indexed citations

Dimitri, Giovanna Maria, Gaia Meoni, Leonardo Tenori, Claudio Luchinat, & Píetro Lió. (2022). NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerprints. Applied Sciences. 12(18). 8954–8954. 2 indexed citations

Niero, Giovanni, Gaia Meoni, Leonardo Tenori, et al.. (2022). Grazing affects metabolic pattern of individual cow milk. Journal of Dairy Science. 105(12). 9702–9712. 6 indexed citations

Baima, Giacomo, Federica Romano, Filippo Citterio, et al.. (2021). Metabolomics of gingival crevicular fluid to identify biomarkers for periodontitis: A systematic review with meta‐analysis. Journal of Periodontal Research. 56(4). 633–645. 47 indexed citations

Meoni, Gaia, Veronica Ghini, Laura Maggi, et al.. (2021). Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab. PLoS Pathogens. 17(2). e1009243–e1009243. 72 indexed citations

Bobbo, Tania, Gaia Meoni, Giovanni Niero, et al.. (2021). Nuclear magnetic resonance spectroscopy to investigate the association between milk metabolites and udder quarter health status in dairy cows. Journal of Dairy Science. 105(1). 535–548. 14 indexed citations

10.

Tenori, Leonardo, Gaia Meoni, Rossella Marcucci, et al.. (2021). Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians. GeroScience. 44(2). 1109–1128. 2 indexed citations

11.

Meoni, Gaia, Claudio Luchinat, Enrico Gotti, Alejandro De la Cadena, & Leonardo Tenori. (2021). Phenotyping Green and Roasted Beans of Nicaraguan Coffea Arabica Varieties Processed with Different Post-Harvest Practices. Applied Sciences. 11(24). 11779–11779. 3 indexed citations

12.

Citterio, Filippo, Federica Romano, Gaia Meoni, et al.. (2020). Changes in the Salivary Metabolic Profile of Generalized Periodontitis Patients after Non-surgical Periodontal Therapy: A Metabolomic Analysis Using Nuclear Magnetic Resonance Spectroscopy. Journal of Clinical Medicine. 9(12). 3977–3977. 18 indexed citations

13.

Meoni, Gaia, Monica Monti, Giampaolo Corti, et al.. (2019). The metabolic fingerprints of HCV and HBV infections studied by Nuclear Magnetic Resonance Spectroscopy. Scientific Reports. 9(1). 4128–4128. 32 indexed citations

14.

Brizzolara, Stefano, Gaia Meoni, Leonardo Tenori, et al.. (2019). The inner temperature of the olives (cv. Leccino) before processing affects the volatile profile and the composition of the oil. Food Research International. 129. 108861–108861. 15 indexed citations

15.

Vignoli, Alessia, Veronica Ghini, Gaia Meoni, et al.. (2018). High‐Throughput Metabolomics by 1D NMR. Angewandte Chemie International Edition. 58(4). 968–994. 276 indexed citations

16.

Romano, Federica, Gaia Meoni, Giacomo Baima, et al.. (2018). Effect of non-surgical periodontal therapy on salivary metabolic fingerprint of generalized chronic periodontitis using nuclear magnetic resonance spectroscopy. Archives of Oral Biology. 97. 208–214. 33 indexed citations

17.

Vignoli, Alessia, Veronica Ghini, Gaia Meoni, et al.. (2018). Hochdurchsatz‐Metabolomik mit 1D‐NMR. INFM-OAR (INFN Catania). 131(4). 980–1007. 10 indexed citations

18.

Tenori, Leonardo, et al.. (2018). NMR metabolomic fingerprinting distinguishes milk from different farms. Food Research International. 113. 131–139. 42 indexed citations

19.

Başoğlu, Abdullah, et al.. (2018). NMR-Based Plasma Metabolomics at Set Intervals in Newborn Dairy Calves with Severe Sepsis. Mediators of Inflammation. 2018. 1–12. 19 indexed citations

20.

Meoni, Gaia, Leonardo Tenori, Laura Gragnani, et al.. (2016). A serum metabolomic analysis of HCV-infected patients successfully treated with IFN-free DAA regimens. Florence Research (University of Florence). 1 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