Federico Gaiti
About
In The Last Decade
Federico Gaiti
20 papers receiving 610 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 424
- Cancer Research 123
- Paleontology 115
- Genetics 78
- Plant Science 74
Countries citing papers authored by Federico Gaiti
This map shows the geographic impact of Federico Gaiti'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 Federico Gaiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Gaiti more than expected).
Fields of papers citing papers by Federico Gaiti
This network shows the impact of papers produced by Federico Gaiti. 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 Federico Gaiti. The network helps show where Federico Gaiti may publish in the future.
Co-authorship network of co-authors of Federico Gaiti
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Gaiti. A scholar is included among the top collaborators of Federico Gaiti 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 Federico Gaiti. Federico Gaiti 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 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 59 | |
| 7 | 44 | |
| 8 | 93 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy | 9 |
| 12 | 190 | |
| 13 | 20 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 36 | |
| 19 | 37 | |
| 20 | 53 |
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.