N. Riva
Impact in
-
- Radiopharmaceutical Chemistry and Applications
- Monoclonal and Polyclonal Antibodies Research
- Medical Imaging Techniques and Applications
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Radiopharmaceutical Chemistry and Applications 11
- Monoclonal and Polyclonal Antibodies Research 6
- Medical Imaging Techniques and Applications 2
- Genetics 5
- Glioma Diagnosis and Treatment 5
- Co-authors
- G. Franceschi (12 shared papers)M. Casi (9 shared papers)Paola Riva (10 shared papers)A. Arista (8 shared papers)M. Frattarelli (5 shared papers)Carmelo Lucio Sturiale (6 shared papers)V. Tison (6 shared papers)G Giuliani (3 shared papers)
In The Last Decade
N. Riva
17 papers receiving 475 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 301
- Genetics 132
- Immunology and Allergy 57
- Oncology 150
- Neurology 77
Countries citing papers authored by N. Riva
This map shows the geographic impact of N. 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 N. Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Riva more than expected).
Fields of papers citing papers by N. Riva
This network shows the impact of papers produced by N. 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 N. Riva. The network helps show where N. Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside N. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 76 | |
| 2 | Loco-regional radioimmunotherapy of high-grade malignant gliomas using specific monoclonal antibodies labeled with 90Y: a phase I study. | 1999 | 61 |
| 3 | 2000 | 57 | |
| 4 | Local treatment of malignant gliomas by direct infusion of specific monoclonal antibodies labeled with 131I: comparison of the results obtained in recurrent and newly diagnosed tumors. | 1995 | 56 |
| 5 | 1992 | 55 | |
| 6 | 1997 | 52 | |
| 7 | 1997 | 42 | |
| 8 | 2007 | 23 | |
| 9 | 1993 | 17 | |
| 10 | 1994 | 15 | |
| 11 | 1991 | 15 | |
| 12 | 2005 | 8 | |
| 13 | 2019 | 5 | |
| 14 | 1990 | 2 | |
| 15 | 2006 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 1995 | 1 |
About N. Riva
N. Riva is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Oncology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 17 papers that have together received 488 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (11 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glioma Diagnosis and Treatment (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Medical Imaging Techniques and Applications (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (301 citations), Genetics (132 citations), Immunology and Allergy (57 citations), Oncology (150 citations) and Neurology (77 citations). N. Riva has collaborated with scholars based in Italy, Malaysia and India. Frequent co-authors include G. Franceschi, M. Casi, Paola Riva, A. Arista, M. Frattarelli, Carmelo Lucio Sturiale, V. Tison, G Giuliani, G Moscatelli and Monica Santimaria. Their work appears in journals such as Cancer, The International Journal of Biological Markers, British Journal of Cancer, International Journal of Radiation Oncology*Biology*Physics and Journal of Clinical 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.