Daniela Lamorte
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
Papers in
-
- Extracellular vesicles in disease 11
-
- MicroRNA in disease regulation 6
- Co-authors
- Stefania Trino (15 shared papers)Luciana De Luca (16 shared papers)Ilaria Laurenzana (15 shared papers)Antonella Caivano (14 shared papers)Pellegrino Musto (9 shared papers)Luigi Del Vecchio (5 shared papers)Alessandro Sgambato (5 shared papers)Geppino Falco (3 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Frontiers in Immunology (2 papers)Frontiers in Oncology (2 papers)Leukemia (1 paper)Molecules (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Daniela Lamorte
19 papers receiving 366 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 168
- Hematology 84
- Genetics 51
- Molecular Biology 286
- Immunology and Allergy 22
Countries citing papers authored by Daniela Lamorte
This map shows the geographic impact of Daniela Lamorte'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 Daniela Lamorte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lamorte more than expected).
Fields of papers citing papers by Daniela Lamorte
This network shows the impact of papers produced by Daniela Lamorte. 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 Daniela Lamorte. The network helps show where Daniela Lamorte may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Lamorte, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2020 | 47 | |
| 3 | 2017 | 38 | |
| 4 | 2018 | 36 | |
| 5 | 2017 | 35 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 0 |
About Daniela Lamorte
Daniela Lamorte is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Hematology, having authored 21 papers that have together received 370 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cell Adhesion Molecules Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Immune cells in cancer (3 papers), Mesenchymal stem cell research (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (168 citations), Hematology (84 citations), Genetics (51 citations), Molecular Biology (286 citations) and Immunology and Allergy (22 citations). Daniela Lamorte has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Stefania Trino, Luciana De Luca, Ilaria Laurenzana, Antonella Caivano, Pellegrino Musto, Luigi Del Vecchio, Alessandro Sgambato, Geppino Falco, Francesco La Rocca and Angelo De Stradis. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Immunology, Frontiers in Oncology, Leukemia and Molecules.
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.