Iolanda Veneruso
About
In The Last Decade
Iolanda Veneruso
17 papers receiving 280 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 101
- Reproductive Medicine 60
- Microbiology 52
- Physiology 44
- Epidemiology 41
Countries citing papers authored by Iolanda Veneruso
This map shows the geographic impact of Iolanda Veneruso'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 Iolanda Veneruso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iolanda Veneruso more than expected).
Fields of papers citing papers by Iolanda Veneruso
This network shows the impact of papers produced by Iolanda Veneruso. 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 Iolanda Veneruso. The network helps show where Iolanda Veneruso may publish in the future.
Co-authorship network of co-authors of Iolanda Veneruso
This figure shows the co-authorship network connecting the top 25 collaborators of Iolanda Veneruso. A scholar is included among the top collaborators of Iolanda Veneruso 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 Iolanda Veneruso. Iolanda Veneruso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 18 | |
| 19 | 77 | |
| 20 | 46 |
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.