Matteo Biagetti

46 total papers · 713 total citations
27 papers, 600 citations indexed

About

Matteo Biagetti is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matteo Biagetti has authored 27 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 11 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matteo Biagetti's work include Receptor Mechanisms and Signaling (6 papers), Organic Chemistry Synthesis Methods (6 papers) and Synthesis of Organic Compounds (5 papers). Matteo Biagetti is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Organic Chemistry Synthesis Methods (6 papers) and Synthesis of Organic Compounds (5 papers). Matteo Biagetti collaborates with scholars based in Italy, United Kingdom and France. Matteo Biagetti's co-authors include Fabio Bellina, Renzo Rossi, Adriano Carpita, Luisa Mannina, Paolo Stabile, Stéphane Viel, Laura Caberlotto, Gea Guerriero, Filomena Giorno and Sanja Baric and has published in prestigious journals such as Journal of Medicinal Chemistry, Tetrahedron and RSC Advances.

In The Last Decade

Matteo Biagetti

25 papers receiving 584 citations

Author Peers

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

Author						Papers	Cites
Matteo Biagetti	509	99	80	72	42	27	600
Mikio Taniguchi	431 0.8×	64 0.6×	209 2.6×	28 0.4×	34 0.8×	27	589
Darin J. Gustin	253 0.5×	133 1.3×	267 3.3×	39 0.5×	31 0.7×	20	548
John C. Sih	381 0.7×	71 0.7×	234 2.9×	41 0.6×	20 0.5×	30	609
James Kallmerten	535 1.1×	103 1.0×	147 1.8×	32 0.4×	63 1.5×	43	673
R. N. Mirrington	292 0.6×	85 0.9×	189 2.4×	47 0.7×	60 1.4×	29	518
S. Kodato	281 0.6×	82 0.8×	256 3.2×	33 0.5×	42 1.0×	16	503
Achintya K. Sinhababu	292 0.6×	50 0.5×	262 3.3×	41 0.6×	45 1.1×	36	620
Edward M. Suh	310 0.6×	85 0.9×	287 3.6×	53 0.7×	94 2.2×	21	657
Nuria Fraiz	396 0.8×	124 1.3×	174 2.2×	22 0.3×	21 0.5×	17	673
Hideyuki Takenaka	254 0.5×	129 1.3×	205 2.6×	22 0.3×	51 1.2×	27	501

Countries citing papers authored by Matteo Biagetti

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Biagetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Biagetti

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Biagetti. A scholar is included among the top collaborators of Matteo Biagetti 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 Matteo Biagetti. Matteo Biagetti 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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