Gaia Meoni

58 total papers · 1.2k total citations
30 papers, 789 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 789 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, Veronica Ghini, Paola Turano, 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 786 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gaia Meoni	508	134	127	93	83	30	789
Géraldine Lucchi	250 0.5×	214 1.6×	75 0.6×	65 0.7×	44 0.5×	40	810
Mingna Sun	279 0.5×	45 0.3×	46 0.4×	14 0.2×	78 0.9×	32	806
Chen Wang	352 0.7×	39 0.3×	22 0.2×	44 0.5×	55 0.7×	43	866
Pertti Kaihovaara	254 0.5×	100 0.7×	113 0.9×	16 0.2×	49 0.6×	25	736
D. E. Schwartz	133 0.3×	36 0.3×	178 1.4×	52 0.6×	110 1.3×	28	872
Bagganahalli S. Somashekar	482 0.9×	34 0.3×	16 0.1×	96 1.0×	124 1.5×	23	877
Miku Kaneko	439 0.9×	241 1.8×	133 1.0×	79 0.8×	7 0.1×	26	803
Matthias D’Hondt	492 1.0×	34 0.3×	34 0.3×	144 1.5×	39 0.5×	35	864
Benita Percival	277 0.5×	38 0.3×	15 0.1×	113 1.2×	187 2.3×	30	792
Susan Tjoa	355 0.7×	102 0.8×	50 0.4×	101 1.1×	6 0.1×	23	677

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

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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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