Marzia Becchis
About
In The Last Decade
Marzia Becchis
12 papers receiving 345 citations
Peers
Comparison fields: 5 of 62
- Genetics 183
- Endocrinology, Diabetes and Metabolism 171
- Molecular Biology 123
- Reproductive Medicine 101
- Oncology 51
Countries citing papers authored by Marzia Becchis
This map shows the geographic impact of Marzia Becchis'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 Marzia Becchis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marzia Becchis more than expected).
Fields of papers citing papers by Marzia Becchis
This network shows the impact of papers produced by Marzia Becchis. 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 Marzia Becchis. The network helps show where Marzia Becchis may publish in the future.
Co-authorship network of co-authors of Marzia Becchis
This figure shows the co-authorship network connecting the top 25 collaborators of Marzia Becchis. A scholar is included among the top collaborators of Marzia Becchis 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 Marzia Becchis. Marzia Becchis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 29 | |
| 3 | 31 | |
| 4 | 73 | |
| 5 | 39 | |
| 6 | 33 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 58 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 16 |
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.