Nada Riva

1.1k citations
32 papers · 592 indexed · h-index 16

Impact in

Papers in

    • Vascular Tumors and Angiosarcomas 7
    • Lung Cancer Research Studies 7
    • Bone health and treatments 4
    • Neuroblastoma Research and Treatments 8

Nada Riva

32 papers receiving 583 citations

Peers

Nada Riva
Comparison fields: 5 of 71
  • Oncology 362
  • Pulmonary and Respiratory Medicine 271
  • Neurology 92
  • Rheumatology 77
  • Epidemiology 122
Replace Jong Lyul Lee with:
Jong Lyul Lee South Korea
Jeffery Chakedis United States
Soojung Hong South Korea
Celso Abdon Lopes de Mello Brazil
Doğan Uncu Türkiye
Marie‐Pierre Sunyach France
Akiko Tonooka Japan
Kyoji Hirai Japan
Jenny Potratz Germany
Mason Bond Canada
Nada Riva relative to Jong Lyul Lee South Korea Jong Lyul Lee's profile →
Citations per field
00.5×3.0×
Jong Lyul Lee · 1×
Citations per year

Countries citing papers authored by Nada Riva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Nada Riva Line = papers co-authored together Nada Riva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202317
3 202320
4 202221
5 202221
6 202111
7 20217
8 20201
9 20194
10 201725
11 201715
12 201625
13 201665
14 20164
15 20165
16 201626
17 201530
18 20155
19 201431
20 199476

About Nada Riva

Nada Riva is a scholar working on Oncology, Neurology, Gastroenterology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 32 papers that have together received 592 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (14 papers), Neuroendocrine Tumor Research Advances (9 papers), Neuroblastoma Research and Treatments (8 papers), Vascular Tumors and Angiosarcomas (7 papers), Lung Cancer Research Studies (7 papers), Cardiac tumors and thrombi (5 papers), Bone health and treatments (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Oncology (362 citations), Pulmonary and Respiratory Medicine (271 citations), Neurology (92 citations), Rheumatology (77 citations) and Epidemiology (122 citations). Nada Riva has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Toni Ibrahim, Chiara Liverani, Laura Mercatali, Alberto Bongiovanni, Alessandro De Vita, Dino Amadori, Giacomo Miserocchi, Chiara Spadazzi, Federica Pieri and Federica Recine. Their work appears in journals such as OncoTargets and Therapy, Medicine, International Journal of Molecular Sciences, Annals of Oncology and Therapeutic Advances in Medical 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.

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