Claudia Benati
About
In The Last Decade
Claudia Benati
5 papers receiving 167 citations
Peers
Comparison fields: 5 of 20
- Oncology 142
- Genetics 98
- Immunology 66
- Molecular Biology 59
- Hematology 40
Countries citing papers authored by Claudia Benati
This map shows the geographic impact of Claudia Benati'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 Claudia Benati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Benati more than expected).
Fields of papers citing papers by Claudia Benati
This network shows the impact of papers produced by Claudia Benati. 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 Claudia Benati. The network helps show where Claudia Benati may publish in the future.
Co-authorship network of co-authors of Claudia Benati
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Benati. A scholar is included among the top collaborators of Claudia Benati 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 Claudia Benati. Claudia Benati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 22 | |
| 3 | 133 | |
| 4 | 3 | |
| 5 | An approach to HIV gene therapy by transduction of multifunctional retroviral vectors in primary human T lymphocytes. | 1 |
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.