Paola Aimone
- Oncology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Hematology top 5%
- Co-authors
- Emmanuelle di TomasoCristian MassacesiCaroline GermaPatrick UrbanRanjana TavorathNathalie FretaultBharani DharanCornelia Quadt
- Topics
- Chronic Myeloid Leukemia Treatments (18 papers)Chronic Lymphocytic Leukemia Research (13 papers)Neuroendocrine Tumor Research Advances (8 papers)
- Cited by
- GeneticsHematologyOncology
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Paola Aimone
43 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Oncology 549
- Molecular Biology 372
- Pulmonary and Respiratory Medicine 338
- Epidemiology 240
- Hematology 235
Countries citing papers authored by Paola Aimone
This map shows the geographic impact of Paola Aimone'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 Paola Aimone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Aimone more than expected).
Fields of papers citing papers by Paola Aimone
This network shows the impact of papers produced by Paola Aimone. 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 Paola Aimone. The network helps show where Paola Aimone may publish in the future.
Co-authorship network of co-authors of Paola Aimone
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Aimone. A scholar is included among the top collaborators of Paola Aimone 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 Paola Aimone. Paola Aimone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | [177Lu]Lu-DOTA-TATE plus long-acting octreotide versus high‑dose long-acting octreotide for the treatment of newly diagnosed, advanced grade 2–3, well-differentiated, gastroenteropancreatic neuroendocrine tumours (NETTER-2): an open-label, randomised, phase 3 studybreakdown → | 113 |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 47 | |
| 6 | 19 | |
| 7 | 21 | |
| 8 | 37 | |
| 9 | 37 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 45 | |
| 16 | 67 | |
| 17 | 195 | |
| 18 | A Phase II Study of BEZ235 in Patients with Everolimus-resistant, Advanced Pancreatic Neuroendocrine Tumours. | 73 |
| 19 | 123 | |
| 20 | 31 |
About Paola Aimone
Paola Aimone is a scholar working on Hematology, Genetics and Oncology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (18 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Neuroendocrine Tumor Research Advances (8 papers). The work is most often cited by research in Genetics (229 citations), Hematology (235 citations) and Oncology (549 citations). Paola Aimone has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Emmanuelle di Tomaso, Cristian Massacesi, Caroline Germa, Patrick Urban, Ranjana Tavorath, Nathalie Fretault, Bharani Dharan, Cornelia Quadt, Lucia Trandafir and Samit Hirawat. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Blood.
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.