Samuele Cazzamalli
- Molecular Biology top 10%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Organic Chemistry top 10%
- Immunology
- Co-authors
- Dario NeriAlberto Dal CorsoJörg ScheuermannRoberto De LucaFrancesca PrettoJacopo MillulAureliano ZanaJacqueline Mock
- Topics
- Peptidase Inhibition and Analysis (24 papers)Monoclonal and Polyclonal Antibodies Research (19 papers)Radiopharmaceutical Chemistry and Applications (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Samuele Cazzamalli
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 710
- Oncology 601
- Radiology, Nuclear Medicine and Imaging 454
- Organic Chemistry 289
- Immunology 124
Countries citing papers authored by Samuele Cazzamalli
This map shows the geographic impact of Samuele Cazzamalli'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 Samuele Cazzamalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuele Cazzamalli more than expected).
Fields of papers citing papers by Samuele Cazzamalli
This network shows the impact of papers produced by Samuele Cazzamalli. 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 Samuele Cazzamalli. The network helps show where Samuele Cazzamalli may publish in the future.
Co-authorship network of co-authors of Samuele Cazzamalli
This figure shows the co-authorship network connecting the top 25 collaborators of Samuele Cazzamalli. A scholar is included among the top collaborators of Samuele Cazzamalli 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 Samuele Cazzamalli. Samuele Cazzamalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 23 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 54 | |
| 17 | 103 | |
| 18 | 9 | |
| 19 | 64 | |
| 20 | 47 |
About Samuele Cazzamalli
Samuele Cazzamalli is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (24 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Radiopharmaceutical Chemistry and Applications (15 papers). The work is most often cited by research in Oncology (601 citations), Radiology, Nuclear Medicine and Imaging (454 citations) and Molecular Biology (710 citations). Samuele Cazzamalli has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Dario Neri, Alberto Dal Corso, Jörg Scheuermann, Roberto De Luca, Francesca Pretto, Jacopo Millul, Aureliano Zana, Jacqueline Mock, Gabriele Bassi and Christian Pellegrino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.