Fabio Pacchiano
About
In The Last Decade
Fabio Pacchiano
4 papers receiving 675 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 648
- Organic Chemistry 508
- Physical and Theoretical Chemistry 200
- Pharmacology 195
- Cancer Research 39
Countries citing papers authored by Fabio Pacchiano
This map shows the geographic impact of Fabio Pacchiano'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 Fabio Pacchiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Pacchiano more than expected).
Fields of papers citing papers by Fabio Pacchiano
This network shows the impact of papers produced by Fabio Pacchiano. 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 Fabio Pacchiano. The network helps show where Fabio Pacchiano may publish in the future.
Co-authorship network of co-authors of Fabio Pacchiano
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pacchiano. A scholar is included among the top collaborators of Fabio Pacchiano 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 Fabio Pacchiano. Fabio Pacchiano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 431 | |
| 2 | 190 | |
| 3 | 35 | |
| 4 | 23 |
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.