Angela Scavone
About
In The Last Decade
Angela Scavone
8 papers receiving 194 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 134
- Cardiology and Cardiovascular Medicine 83
- Surgery 50
- Cellular and Molecular Neuroscience 28
- Physiology 17
Countries citing papers authored by Angela Scavone
This map shows the geographic impact of Angela Scavone'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 Angela Scavone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Scavone more than expected).
Fields of papers citing papers by Angela Scavone
This network shows the impact of papers produced by Angela Scavone. 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 Angela Scavone. The network helps show where Angela Scavone may publish in the future.
Co-authorship network of co-authors of Angela Scavone
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Scavone. A scholar is included among the top collaborators of Angela Scavone 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 Angela Scavone. Angela Scavone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 49 | |
| 5 | 32 | |
| 6 | 24 | |
| 7 | 44 | |
| 8 | 26 | |
| 9 | 12 |
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.