Rossella Di Raimo
- Molecular Biology top 5%
- Cancer Research top 2%
- Biomedical Engineering
- Immunology
- Pulmonary and Respiratory Medicine
- Co-authors
- Stefano FaisMariantonia LogozziDavide MizzoniDaniela F. AngeliniLuca BattistiniElisabetta IessiMario FalchiEnrico P. Spugnini
- Topics
- Extracellular vesicles in disease (20 papers)MicroRNA in disease regulation (11 papers)RNA Interference and Gene Delivery (5 papers)
- Journals
- International Journal of Molecular SciencesMethods in enzymology on CD-ROM/Methods in enzymologyCancer Letters
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Rossella Di Raimo
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.4k
- Cancer Research 908
- Biomedical Engineering 245
- Immunology 164
- Pulmonary and Respiratory Medicine 114
Countries citing papers authored by Rossella Di Raimo
This map shows the geographic impact of Rossella Di Raimo'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 Rossella Di Raimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rossella Di Raimo more than expected).
Fields of papers citing papers by Rossella Di Raimo
This network shows the impact of papers produced by Rossella Di Raimo. 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 Rossella Di Raimo. The network helps show where Rossella Di Raimo may publish in the future.
Co-authorship network of co-authors of Rossella Di Raimo
This figure shows the co-authorship network connecting the top 25 collaborators of Rossella Di Raimo. A scholar is included among the top collaborators of Rossella Di Raimo 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 Rossella Di Raimo. Rossella Di Raimo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 32 | |
| 4 | 35 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 48 | |
| 8 | 25 | |
| 9 | 49 | |
| 10 | 40 | |
| 11 | 58 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 84 | |
| 15 | 113 | |
| 16 | 51 | |
| 17 | 53 | |
| 18 | 62 | |
| 19 | 204 | |
| 20 | 134 |
About Rossella Di Raimo
Rossella Di Raimo is a scholar working on Cancer Research, Aging and Physiology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (20 papers), MicroRNA in disease regulation (11 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cancer Research (908 citations), Molecular Biology (1.4k citations) and Immunology and Allergy (52 citations). Rossella Di Raimo has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Stefano Fais, Mariantonia Logozzi, Davide Mizzoni, Daniela F. Angelini, Luca Battistini, Elisabetta Iessi, Mario Falchi, Enrico P. Spugnini, Alessandro Sciarra and Claudiu T. Supuran. Their work appears in journals such as International Journal of Molecular Sciences, Methods in enzymology on CD-ROM/Methods in enzymology and Cancer Letters.
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.