Amelia D’Alessio
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Nicola NormannoAntonella De LucaMonica R. MaielloMarianna GalloDaniela CalifanoGennaro ChiappettaAlfredo FuscoMassimo Santoro
- Topics
- HER2/EGFR in Cancer Research (11 papers)PI3K/AKT/mTOR signaling in cancer (7 papers)Cancer-related Molecular Pathways (6 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Amelia D’Alessio
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.3k
- Oncology 822
- Cancer Research 412
- Pulmonary and Respiratory Medicine 247
- Pathology and Forensic Medicine 182
Countries citing papers authored by Amelia D’Alessio
This map shows the geographic impact of Amelia D’Alessio'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 Amelia D’Alessio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amelia D’Alessio more than expected).
Fields of papers citing papers by Amelia D’Alessio
This network shows the impact of papers produced by Amelia D’Alessio. 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 Amelia D’Alessio. The network helps show where Amelia D’Alessio may publish in the future.
Co-authorship network of co-authors of Amelia D’Alessio
This figure shows the co-authorship network connecting the top 25 collaborators of Amelia D’Alessio. A scholar is included among the top collaborators of Amelia D’Alessio 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 Amelia D’Alessio. Amelia D’Alessio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 36 | |
| 6 | The RAS/RAF/MEK/ERK and the PI3K/AKT signalling pathways: role in cancer pathogenesis and implications for therapeutic approachesbreakdown → | 581 |
| 7 | 37 | |
| 8 | 15 | |
| 9 | 81 | |
| 10 | 14 | |
| 11 | Zoledronic acid affects the expression of VEGF in breast cancer cells and in bone marrow stromal cells through direct and indirect mechanisms | 1 |
| 12 | 11 | |
| 13 | 42 | |
| 14 | 10 | |
| 15 | Cytoplasmic relocalization and inhibition of the cyclin-dependent kinase inhibitor p27Kip1 by PKB/Akt-mediated phosphorylation in breast cancerbreakdown → | 562 |
| 16 | 35 | |
| 17 | 49 | |
| 18 | 14 | |
| 19 | 11 | |
| 20 | 7 |
About Amelia D’Alessio
Amelia D’Alessio is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Oncology (822 citations), Cancer Research (412 citations) and Molecular Biology (1.3k citations). Amelia D’Alessio has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Nicola Normanno, Antonella De Luca, Monica R. Maiello, Marianna Gallo, Daniela Califano, Gennaro Chiappetta, Alfredo Fusco, Massimo Santoro, Alfonso Bellacosa and Maria Letizia Motti. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Academy of Management Journal.
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.