Silvia De Pasqua
About
In The Last Decade
Silvia De Pasqua
9 papers receiving 146 citations
Peers
Comparison fields: 5 of 35
- Neurology 109
- Genetics 55
- Physiology 47
- Neurology 29
- Molecular Biology 26
Countries citing papers authored by Silvia De Pasqua
This map shows the geographic impact of Silvia De Pasqua'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 Silvia De Pasqua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia De Pasqua more than expected).
Fields of papers citing papers by Silvia De Pasqua
This network shows the impact of papers produced by Silvia De Pasqua. 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 Silvia De Pasqua. The network helps show where Silvia De Pasqua may publish in the future.
Co-authorship network of co-authors of Silvia De Pasqua
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia De Pasqua. A scholar is included among the top collaborators of Silvia De Pasqua 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 Silvia De Pasqua. Silvia De Pasqua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | 57 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 13 |
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.