Marina De Rosa
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Oncology top 5%
- Cancer Research top 5%
- Surgery
- Co-authors
- Paola IzzoFrancesca DuraturoRaffaella LiccardoPaolo DelrioDaniela RegaUgo PaceGiovanni Battista RossiMimmo Turano
- Topics
- Genetic factors in colorectal cancer (36 papers)Colorectal Cancer Treatments and Studies (19 papers)Cancer Genomics and Diagnostics (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaOncogeneInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marina De Rosa
65 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 541
- Molecular Biology 505
- Oncology 496
- Cancer Research 405
- Surgery 198
Countries citing papers authored by Marina De Rosa
This map shows the geographic impact of Marina De Rosa'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 Marina De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina De Rosa more than expected).
Fields of papers citing papers by Marina De Rosa
This network shows the impact of papers produced by Marina De Rosa. 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 Marina De Rosa. The network helps show where Marina De Rosa may publish in the future.
Co-authorship network of co-authors of Marina De Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Marina De Rosa. A scholar is included among the top collaborators of Marina De Rosa 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 Marina De Rosa. Marina De Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | Novel variants of unknown significance in the PMS2 gene identified in patients with hereditary colon cancer | 1 |
| 8 | 9 | |
| 9 | Internal Delorme vs. STARR procedure for correction of obstructed defecation from rectocele and rectal intussusception. | 16 |
| 10 | 5 | |
| 11 | 16 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 27 | |
| 16 | 24 | |
| 17 | 23 | |
| 18 | 103 | |
| 19 | 9 | |
| 20 | Clinical drug development: an analysis of phase II trials, 1970-1985. | 63 |
About Marina De Rosa
Marina De Rosa is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (36 papers), Colorectal Cancer Treatments and Studies (19 papers) and Cancer Genomics and Diagnostics (18 papers). The work is most often cited by research in Pathology and Forensic Medicine (541 citations), Cancer Research (405 citations) and Oncology (496 citations). Marina De Rosa has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paola Izzo, Francesca Duraturo, Raffaella Liccardo, Paolo Delrio, Daniela Rega, Ugo Pace, Giovanni Battista Rossi, Mimmo Turano, Maria I. Scarano and Giulio Belli. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and International Journal of Molecular Sciences.
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.