Massimo Masserini
- Molecular Biology top 2%
- Physiology top 1%
- Biomaterials top 0.5%
- Cell Biology top 1%
- Biomedical Engineering top 5%
- Co-authors
- Paola PalestiniFrancesca ReMaria GregoriGuido TettamantiSandro SonninoMarina PittoErnesto FreireAlessandra Bulbarelli
- Topics
- Lipid Membrane Structure and Behavior (58 papers)Glycosylation and Glycoproteins Research (50 papers)Alzheimer's disease research and treatments (31 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- ItalySpainUnited States
In The Last Decade
Massimo Masserini
146 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 3.6k
- Physiology 1.8k
- Biomaterials 1.2k
- Cell Biology 851
- Biomedical Engineering 744
Countries citing papers authored by Massimo Masserini
This map shows the geographic impact of Massimo Masserini'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 Massimo Masserini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Masserini more than expected).
Fields of papers citing papers by Massimo Masserini
This network shows the impact of papers produced by Massimo Masserini. 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 Massimo Masserini. The network helps show where Massimo Masserini may publish in the future.
Co-authorship network of co-authors of Massimo Masserini
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Masserini. A scholar is included among the top collaborators of Massimo Masserini 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 Massimo Masserini. Massimo Masserini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 33 | |
| 4 | 39 | |
| 5 | 101 | |
| 6 | Liposomes functionalized to overcome the blood–brain barrier and to target amyloid-β peptide: the chemical design affects the permeability across an in vitro model | 1 |
| 7 | Liposomes functionalized with GT1b ganglioside with high affinity for amyloid beta-peptide | 1 |
| 8 | 68 | |
| 9 | 66 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 16 | |
| 13 | 8 | |
| 14 | 64 | |
| 15 | 79 | |
| 16 | 1 | |
| 17 | 101 | |
| 18 | 7 | |
| 19 | 63 | |
| 20 | 41 |
About Massimo Masserini
Massimo Masserini is a scholar working on Biomaterials, Physiology and Molecular Biology, having authored 146 papers that have together received 6.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (58 papers), Glycosylation and Glycoproteins Research (50 papers) and Alzheimer's disease research and treatments (31 papers). The work is most often cited by research in Biomaterials (1.2k citations), Pharmaceutical Science (467 citations) and Physiology (1.8k citations). Massimo Masserini has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Paola Palestini, Francesca Re, Maria Gregori, Guido Tettamanti, Sandro Sonnino, Marina Pitto, Ernesto Freire, Alessandra Bulbarelli, Silvia Sesana and Elena Lonati. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.