Edoardo D’Angelo
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Colorectal Cancer Surgical Treatments
Papers in
- Co-authors
- Marco Agostini (35 shared papers)Matteo Fassan (18 shared papers)Salvatore Pucciarelli (20 shared papers)Donato Nitti (12 shared papers)Francesca Sensi (13 shared papers)Chiara Bedin (9 shared papers)Massimo Rugge (7 shared papers)Maura Digito (5 shared papers)
- Journals
- Cancers (4 papers)Oncotarget (4 papers)Journal of Cellular Physiology (3 papers)Frontiers in Oncology (2 papers)Cancer Biomarkers (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Edoardo D’Angelo
37 papers receiving 904 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 334
- Oncology 445
- Biomaterials 81
- Biological Psychiatry 15
- Pathology and Forensic Medicine 102
Countries citing papers authored by Edoardo D’Angelo
This map shows the geographic impact of Edoardo D’Angelo'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 Edoardo D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edoardo D’Angelo more than expected).
Fields of papers citing papers by Edoardo D’Angelo
This network shows the impact of papers produced by Edoardo D’Angelo. 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 Edoardo D’Angelo. The network helps show where Edoardo D’Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Edoardo D’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 64 | |
| 2 | 2012 | 63 | |
| 3 | 2016 | 58 | |
| 4 | 2016 | 51 | |
| 5 | 2020 | 50 | |
| 6 | 2014 | 50 | |
| 7 | 2015 | 48 | |
| 8 | 2014 | 42 | |
| 9 | 2015 | 39 | |
| 10 | 2014 | 37 | |
| 11 | 2020 | 36 | |
| 12 | 2017 | 33 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 28 | |
| 15 | 2021 | 27 | |
| 16 | 2014 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 2020 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2022 | 19 |
About Edoardo D’Angelo
Edoardo D’Angelo is a scholar working on Oncology, Surgery, Molecular Biology, Cancer Research and Biomedical Engineering, having authored 37 papers that have together received 909 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), 3D Printing in Biomedical Research (7 papers), Colorectal Cancer Surgical Treatments (7 papers), Cancer Cells and Metastasis (6 papers), Colorectal and Anal Carcinomas (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Cancer Research (334 citations), Oncology (445 citations), Biomaterials (81 citations), Biological Psychiatry (15 citations) and Pathology and Forensic Medicine (102 citations). Edoardo D’Angelo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Agostini, Matteo Fassan, Salvatore Pucciarelli, Donato Nitti, Francesca Sensi, Chiara Bedin, Massimo Rugge, Maura Digito, Isacco Maretto and Caterina Vicentini. Their work appears in journals such as Cancers, Oncotarget, Journal of Cellular Physiology, Frontiers in Oncology and Cancer Biomarkers.
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.