Barbara Bravi
About
In The Last Decade
Barbara Bravi
11 papers receiving 181 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Molecular Biology 150
- Immunology 70
- Radiology, Nuclear Medicine and Imaging 39
- Infectious Diseases 28
- Oncology 15
Countries citing papers authored by Barbara Bravi
This map shows the geographic impact of Barbara Bravi'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 Barbara Bravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Bravi more than expected).
Fields of papers citing papers by Barbara Bravi
This network shows the impact of papers produced by Barbara Bravi. 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 Barbara Bravi. The network helps show where Barbara Bravi may publish in the future.
Co-authorship network of co-authors of Barbara Bravi
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Bravi. A scholar is included among the top collaborators of Barbara Bravi 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 Barbara Bravi. Barbara Bravi 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 | Development and use of machine learning algorithms in vaccine target selection breakdown → | 46 |
| 3 | 1 | |
| 4 | 51 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 31 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 8 |
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.