Nada Riva
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
- Vascular Tumors and Angiosarcomas
-
- Sarcoma Diagnosis and Treatment
Papers in
- Oncology 17
- Lung Cancer Research Studies 4
- Vascular Tumors and Angiosarcomas 4
- Bone health and treatments 3
-
- Sarcoma Diagnosis and Treatment 14
- Co-authors
- Toni Ibrahim (29 shared papers)Chiara Liverani (27 shared papers)Alberto Bongiovanni (27 shared papers)Laura Mercatali (27 shared papers)Alessandro De Vita (26 shared papers)Dino Amadori (14 shared papers)Federica Pieri (18 shared papers)Giacomo Miserocchi (20 shared papers)
- Journals
- OncoTargets and Therapy (3 papers)Therapeutic Advances in Medical Oncology (2 papers)Medicine (2 papers)International Journal of Molecular Sciences (2 papers)Annals of Oncology (2 papers)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Nada Riva
32 papers receiving 618 citations
Peers
Comparison fields: 5 of 71
- Oncology 278
- Pulmonary and Respiratory Medicine 247
- Rheumatology 65
- Neurology 62
- Epidemiology 115
Countries citing papers authored by Nada Riva
This map shows the geographic impact of Nada Riva'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 Nada Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Riva more than expected).
Fields of papers citing papers by Nada Riva
This network shows the impact of papers produced by Nada Riva. 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 Nada Riva. The network helps show where Nada Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside Nada Riva, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 83 | |
| 2 | 2016 | 67 | |
| 3 | 2022 | 36 | |
| 4 | 2015 | 33 | |
| 5 | 2014 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 29 | |
| 8 | 2017 | 29 | |
| 9 | 2023 | 26 | |
| 10 | 2016 | 25 | |
| 11 | 2017 | 25 | |
| 12 | 2020 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2023 | 19 | |
| 17 | 2017 | 15 | |
| 18 | 2018 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 11 |
About Nada Riva
Nada Riva is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Neurology and Rheumatology, having authored 32 papers that have together received 629 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (14 papers), Neuroendocrine Tumor Research Advances (8 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (4 papers), Vascular Tumors and Angiosarcomas (4 papers), Cardiac tumors and thrombi (3 papers), Bone health and treatments (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Oncology (278 citations), Pulmonary and Respiratory Medicine (247 citations), Rheumatology (65 citations), Neurology (62 citations) and Epidemiology (115 citations). Nada Riva has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Toni Ibrahim, Chiara Liverani, Alberto Bongiovanni, Laura Mercatali, Alessandro De Vita, Dino Amadori, Federica Pieri, Giacomo Miserocchi, Chiara Spadazzi and Federica Recine. Their work appears in journals such as OncoTargets and Therapy, Therapeutic Advances in Medical Oncology, Medicine, International Journal of Molecular Sciences and Annals of Oncology.
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.