E. Riva
Impact in
- Virology top 2%
- HIV Research and Treatment
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
- Epidemiology 30
- Liver Disease Diagnosis and Treatment 9
- Hepatitis B Virus Studies 8
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- Metabolism and Genetic Disorders 25
- Co-authors
- Guido Antonelli (33 shared papers)Carlo Agostoni (15 shared papers)Marcello Giovannini (23 shared papers)Ombretta Turriziani (15 shared papers)F. Dianzani (14 shared papers)M Giovannini (6 shared papers)S Trojan (3 shared papers)Giacomo Biasucci (10 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (11 papers)AIDS Research and Human Retroviruses (7 papers)Clinical Microbiology and Infection (3 papers)Acta Paediatrica (3 papers)Antiviral chemistry & chemotherapy (2 papers)
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
E. Riva
118 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Virology 244
- Clinical Biochemistry 223
- Hepatology 160
- Infectious Diseases 334
- Nutrition and Dietetics 207
Countries citing papers authored by E. Riva
This map shows the geographic impact of E. 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 E. Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Riva more than expected).
Fields of papers citing papers by E. Riva
This network shows the impact of papers produced by E. 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 E. Riva. The network helps show where E. Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside E. 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 142 | |
| 2 | 1995 | 70 | |
| 3 | 1994 | 58 | |
| 4 | 2010 | 58 | |
| 5 | 1992 | 58 | |
| 6 | 1983 | 51 | |
| 7 | 2010 | 51 | |
| 8 | 1994 | 43 | |
| 9 | 2000 | 37 | |
| 10 | 1996 | 36 | |
| 11 | 1995 | 33 | |
| 12 | 2013 | 33 | |
| 13 | 2017 | 32 | |
| 14 | 2002 | 31 | |
| 15 | 2009 | 27 | |
| 16 | 1994 | 27 | |
| 17 | 1995 | 27 | |
| 18 | 2008 | 27 | |
| 19 | 2010 | 25 | |
| 20 | 2018 | 25 |
About E. Riva
E. Riva is a scholar working on Epidemiology, Clinical Biochemistry, Infectious Diseases, Molecular Biology and Virology, having authored 122 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (25 papers), HIV Research and Treatment (19 papers), Hepatitis C virus research (13 papers), HIV/AIDS drug development and treatment (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (8 papers), Neonatal Health and Biochemistry (8 papers) and HIV/AIDS Research and Interventions (8 papers). The work is most often cited by research in Virology (244 citations), Clinical Biochemistry (223 citations), Hepatology (160 citations), Infectious Diseases (334 citations) and Nutrition and Dietetics (207 citations). E. Riva has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Guido Antonelli, Carlo Agostoni, Marcello Giovannini, Ombretta Turriziani, F. Dianzani, M Giovannini, S Trojan, Giacomo Biasucci, Carolina Scagnolari and Roberto Bellù. Their work appears in journals such as Journal of Inherited Metabolic Disease, AIDS Research and Human Retroviruses, Clinical Microbiology and Infection, Acta Paediatrica and Antiviral chemistry & chemotherapy.
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.