Maria Passante
About
In The Last Decade
Maria Passante
9 papers receiving 253 citations
Peers
Comparison fields: 5 of 78
- Dermatology 92
- Epidemiology 47
- Pathology and Forensic Medicine 43
- Immunology 40
- Molecular Biology 35
Countries citing papers authored by Maria Passante
This map shows the geographic impact of Maria Passante'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 Maria Passante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Passante more than expected).
Fields of papers citing papers by Maria Passante
This network shows the impact of papers produced by Maria Passante. 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 Maria Passante. The network helps show where Maria Passante may publish in the future.
Co-authorship network of co-authors of Maria Passante
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Passante. A scholar is included among the top collaborators of Maria Passante 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 Maria Passante. Maria Passante 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 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 24 | |
| 7 | 48 | |
| 8 | 91 | |
| 9 | 31 | |
| 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.