Lorenzo Mosca

1.8k total citations · 1 hit paper
26 papers, 1.6k citations indexed

About

Lorenzo Mosca is a scholar working on Spectroscopy, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Lorenzo Mosca has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Spectroscopy, 17 papers in Materials Chemistry and 10 papers in Organic Chemistry. Recurrent topics in Lorenzo Mosca's work include Molecular Sensors and Ion Detection (21 papers), Luminescence and Fluorescent Materials (15 papers) and Supramolecular Chemistry and Complexes (9 papers). Lorenzo Mosca is often cited by papers focused on Molecular Sensors and Ion Detection (21 papers), Luminescence and Fluorescent Materials (15 papers) and Supramolecular Chemistry and Complexes (9 papers). Lorenzo Mosca collaborates with scholars based in United States, Italy and China. Lorenzo Mosca's co-authors include Luigi Fabbrizzi, Valeria Amendola, Pavel Anzenbacher, Massimo Boiocchi, Petr Koutnı́k, Greta Bergamaschi, Grigory V. Zyryanov, Sara Sheykhi, Tsuyoshi Minami and J. Fraser Stoddart and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Lorenzo Mosca

26 papers receiving 1.6k citations

Hit Papers

Anion recognition by hydrogen bonding: urea-based receptors 2010 2026 2015 2020 2010 200 400 600

Peers

Lorenzo Mosca
Comparison fields: 5 of 68
  • Spectroscopy 1.0k
  • Materials Chemistry 853
  • Organic Chemistry 574
  • Molecular Biology 249
  • Physical and Theoretical Chemistry 244
Replace Michelle E. Weber with:
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Michelle E. Weber United States View profile →
Citations per field, relative to Lorenzo Mosca
Lorenzo Mosca · 1×
Citations per year, relative to Lorenzo Mosca
Lorenzo Mosca · 1×

Countries citing papers authored by Lorenzo Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Mosca

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Mosca. A scholar is included among the top collaborators of Lorenzo Mosca 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 Lorenzo Mosca. Lorenzo Mosca 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 28
2 3
3 9
4 2
5 69
6 22
7 36
8 38
9 96
10 44
11 36
12 118
13 73
14 58
15 13
16 46
17 103
18
Anion recognition by hydrogen bonding: urea-based receptors breakdown →
652
19 20
20 27

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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