Alberto Peretti
About
In The Last Decade
Alberto Peretti
13 papers receiving 279 citations
Peers
Comparison fields: 5 of 47
- Oncology 109
- Epidemiology 100
- Immunology 93
- Molecular Biology 70
- Plant Science 46
Countries citing papers authored by Alberto Peretti
This map shows the geographic impact of Alberto Peretti'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 Alberto Peretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Peretti more than expected).
Fields of papers citing papers by Alberto Peretti
This network shows the impact of papers produced by Alberto Peretti. 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 Alberto Peretti. The network helps show where Alberto Peretti may publish in the future.
Co-authorship network of co-authors of Alberto Peretti
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Peretti. A scholar is included among the top collaborators of Alberto Peretti 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 Alberto Peretti. Alberto Peretti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 25 | |
| 4 | 1 | |
| 5 | 28 | |
| 6 | 36 | |
| 7 | 87 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 35 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | Human papillomavirus tumor-infiltrating T-regulatory lymphocytes and P53 codon 72 polymorphisms correlate with clinical staging and prognosis of oropharyngeal cancer. | 18 |
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.