Vincent Spada
About
In The Last Decade
Vincent Spada
5 papers receiving 506 citations
Peers
Comparison fields: 5 of 52
- Pathology and Forensic Medicine 400
- Neurology 210
- Immunology 183
- Rheumatology 133
- Oncology 96
Countries citing papers authored by Vincent Spada
This map shows the geographic impact of Vincent Spada'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 Vincent Spada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Spada more than expected).
Fields of papers citing papers by Vincent Spada
This network shows the impact of papers produced by Vincent Spada. 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 Vincent Spada. The network helps show where Vincent Spada may publish in the future.
Co-authorship network of co-authors of Vincent Spada
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Spada. A scholar is included among the top collaborators of Vincent Spada 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 Vincent Spada. Vincent Spada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 34 | |
| 3 | 119 | |
| 4 | Clinical experience with COP-1 in multiple sclerosis. | 8 |
| 5 | 343 |
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.