Elisa Barbieri
About
In The Last Decade
Elisa Barbieri
9 papers receiving 294 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 231
- Immunology 57
- Cancer Research 41
- Pathology and Forensic Medicine 36
- Cellular and Molecular Neuroscience 27
Countries citing papers authored by Elisa Barbieri
This map shows the geographic impact of Elisa Barbieri'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 Elisa Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Barbieri more than expected).
Fields of papers citing papers by Elisa Barbieri
This network shows the impact of papers produced by Elisa Barbieri. 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 Elisa Barbieri. The network helps show where Elisa Barbieri may publish in the future.
Co-authorship network of co-authors of Elisa Barbieri
This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Barbieri. A scholar is included among the top collaborators of Elisa Barbieri 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 Elisa Barbieri. Elisa Barbieri 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 | 8 | |
| 3 | 2 | |
| 4 | 87 | |
| 5 | 22 | |
| 6 | 69 | |
| 7 | 48 | |
| 8 | 17 | |
| 9 | 13 | |
| 10 | 28 |
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.