R. Perrone Donnorso
- Molecular Biology
- Oncology top 10%
- Epidemiology
- Cancer Research top 10%
- Surgery
- Co-authors
- Marcella MottoleseFerdinando MarandinoAmina VocaturoMaria BenevoloPaolo ViscaFranca Del NonnoIsabella SperdutiClaudio Botti
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Genetic factors in colorectal cancer (5 papers)Cancer-related Molecular Pathways (4 papers)
- Cited by
- Cancer ResearchOncologyVirology
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
R. Perrone Donnorso
36 papers receiving 925 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 394
- Oncology 309
- Epidemiology 212
- Cancer Research 210
- Surgery 201
Countries citing papers authored by R. Perrone Donnorso
This map shows the geographic impact of R. Perrone Donnorso'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 R. Perrone Donnorso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Perrone Donnorso more than expected).
Fields of papers citing papers by R. Perrone Donnorso
This network shows the impact of papers produced by R. Perrone Donnorso. 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 R. Perrone Donnorso. The network helps show where R. Perrone Donnorso may publish in the future.
Co-authorship network of co-authors of R. Perrone Donnorso
This figure shows the co-authorship network connecting the top 25 collaborators of R. Perrone Donnorso. A scholar is included among the top collaborators of R. Perrone Donnorso 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 R. Perrone Donnorso. R. Perrone Donnorso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 22 | |
| 3 | 26 | |
| 4 | 5 | |
| 5 | 124 | |
| 6 | 37 | |
| 7 | 24 | |
| 8 | 116 | |
| 9 | 15 | |
| 10 | 70 | |
| 11 | Role and prognostic significance of CD44s expression in colorectal cancer. | 15 |
| 12 | Leiomioma metastatizzante benigno nel polmone: descrizione di un caso e revisione della letteratura | 0 |
| 13 | 2 | |
| 14 | 26 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | Improvement of cytodiagnosis of ovarian tumors employing monoclonal antibodies. | 1 |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 25 |
About R. Perrone Donnorso
R. Perrone Donnorso is a scholar working on Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 984 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Genetic factors in colorectal cancer (5 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (210 citations), Oncology (309 citations) and Virology (50 citations). R. Perrone Donnorso has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Marcella Mottolese, Ferdinando Marandino, Amina Vocaturo, Maria Benevolo, Paolo Visca, Franca Del Nonno, Isabella Sperduti, Claudio Botti, Giulia Maria Piperno and Luciano Mariani. Their work appears in journals such as The Lancet, JNCI Journal of the National Cancer Institute and Cancer.
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.