Matteo Biagetti

715 total citations
27 papers, 597 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 597 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 Organic Chemistry Synthesis Methods (6 papers), Receptor Mechanisms and Signaling (6 papers) and Synthesis of Organic Compounds (5 papers). Matteo Biagetti is often cited by papers focused on Organic Chemistry Synthesis Methods (6 papers), Receptor Mechanisms and Signaling (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 Renzo Rossi, Fabio Bellina, Adriano Carpita, Luisa Mannina, Paolo Stabile, Stéphane Viel, Filomena Giorno, Gea Guerriero, Sanja Baric and Laura Caberlotto 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 581 citations

Peers

Matteo Biagetti
Comparison fields: 5 of 49
  • Organic Chemistry 505
  • Pharmacology 99
  • Molecular Biology 80
  • Cancer Research 72
  • Biotechnology 39
Replace Vincent J. Colandrea with:
Vincent J. Colandrea United States
Hideyuki Sugiyama Japan
Alessandra Antonello Italy
Daniel H. Caignard France
Lihu Yang United States
Tatsuya Toma Japan
S. Kodato Japan
Jae‐Kyu Jung United States
Laurent Comméiras France
Suk Youn Kang South Korea
Vincent J. Colandrea United States View profile →
Citations per field, relative to Matteo Biagetti
Matteo Biagetti · 1×
Citations per year, relative to Matteo Biagetti
Matteo Biagetti · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 5
4 2
5 1
6 4
7 22
8 0
9 5
10 9
11 20
12 5
13 10
14 13
15 32
16 95
17 79
18 75
19 31
20 56

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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