Paolo Laccetti
- Molecular Biology
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology
- Co-authors
- Giuseppe D’AlessioGiuseppe PortellaClaudia De LorenzoDaniela Spalletti-CerniaLeonard D. KohnMaurizio BifulcoChiara LaezzaSalvatore M. Aloj
- Topics
- Monoclonal and Polyclonal Antibodies Research (13 papers)Glycosylation and Glycoproteins Research (7 papers)HER2/EGFR in Cancer Research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Paolo Laccetti
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 663
- Oncology 338
- Radiology, Nuclear Medicine and Imaging 309
- Endocrinology, Diabetes and Metabolism 217
- Immunology 170
Countries citing papers authored by Paolo Laccetti
This map shows the geographic impact of Paolo Laccetti'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 Paolo Laccetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Laccetti more than expected).
Fields of papers citing papers by Paolo Laccetti
This network shows the impact of papers produced by Paolo Laccetti. 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 Paolo Laccetti. The network helps show where Paolo Laccetti may publish in the future.
Co-authorship network of co-authors of Paolo Laccetti
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Laccetti. A scholar is included among the top collaborators of Paolo Laccetti 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 Paolo Laccetti. Paolo Laccetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 28 | |
| 4 | 27 | |
| 5 | 0 | |
| 6 | 73 | |
| 7 | 63 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 37 | |
| 11 | 38 | |
| 12 | 23 | |
| 13 | 16 | |
| 14 | 24 | |
| 15 | 10 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | Phosphofructokinase Regulation in Some Transplantable Thyroid Tumors | 2 |
About Paolo Laccetti
Paolo Laccetti is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Molecular Biology, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (7 papers) and HER2/EGFR in Cancer Research (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (309 citations), Endocrinology, Diabetes and Metabolism (217 citations) and Oncology (338 citations). Paolo Laccetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe D’Alessio, Giuseppe Portella, Claudia De Lorenzo, Daniela Spalletti-Cernia, Leonard D. Kohn, Maurizio Bifulco, Chiara Laezza, Salvatore M. Aloj, Luciano De Petrocellis and Evelyn F. Grollman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.