Luca De Carolis
About
In The Last Decade
Luca De Carolis
9 papers receiving 75 citations
Peers
Comparison fields: 5 of 26
- Genetics 57
- Immunology 32
- Pathology and Forensic Medicine 30
- Molecular Biology 27
- Oncology 16
Countries citing papers authored by Luca De Carolis
This map shows the geographic impact of Luca De Carolis'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 Luca De Carolis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca De Carolis more than expected).
Fields of papers citing papers by Luca De Carolis
This network shows the impact of papers produced by Luca De Carolis. 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 Luca De Carolis. The network helps show where Luca De Carolis may publish in the future.
Co-authorship network of co-authors of Luca De Carolis
This figure shows the co-authorship network connecting the top 25 collaborators of Luca De Carolis. A scholar is included among the top collaborators of Luca De Carolis 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 Luca De Carolis. Luca De Carolis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 26 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 9 |
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.