Angela Varrichio
About
In The Last Decade
Angela Varrichio
11 papers receiving 987 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 554
- Epidemiology 248
- Immunology 203
- Cell Biology 179
- Genetics 146
Countries citing papers authored by Angela Varrichio
This map shows the geographic impact of Angela Varrichio'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 Varrichio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Varrichio more than expected).
Fields of papers citing papers by Angela Varrichio
This network shows the impact of papers produced by Angela Varrichio. 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 Varrichio. The network helps show where Angela Varrichio may publish in the future.
Co-authorship network of co-authors of Angela Varrichio
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Varrichio. A scholar is included among the top collaborators of Angela Varrichio 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 Varrichio. Angela Varrichio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 210 | |
| 3 | 232 | |
| 4 | 55 | |
| 5 | 107 | |
| 6 | 85 | |
| 7 | 7 | |
| 8 | 175 | |
| 9 | 52 | |
| 10 | 73 | |
| 11 | 65 |
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.