Giovanni Riva
- Oncology top 10%
- Biomedical Engineering top 10%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Molecular Biology
- Co-authors
- Ester Foppa PedrettiGiuseppe ToscanoDaniele DucaMario LuppiPatrizia BarozziLeonardo PotenzaGiuseppe TorelliFabio Forghieri
- Topics
- Cytomegalovirus and herpesvirus research (14 papers)Viral-associated cancers and disorders (13 papers)Thermochemical Biomass Conversion Processes (11 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giovanni Riva
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- Oncology 367
- Biomedical Engineering 338
- Epidemiology 288
- Infectious Diseases 247
- Molecular Biology 197
Countries citing papers authored by Giovanni Riva
This map shows the geographic impact of Giovanni 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 Giovanni Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Riva more than expected).
Fields of papers citing papers by Giovanni Riva
This network shows the impact of papers produced by Giovanni 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 Giovanni Riva. The network helps show where Giovanni Riva may publish in the future.
Co-authorship network of co-authors of Giovanni Riva
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Riva. A scholar is included among the top collaborators of Giovanni Riva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giovanni Riva. Giovanni Riva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 29 | |
| 4 | 143 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | Evaluation of solid biomass for energy use in relation to the ash qualitative and quantitative characteristics. | 3 |
| 13 | 7 | |
| 14 | Biofuels: general and technical aspects of their production and utilization. | 1 |
| 15 | Itilisation of Biofuels on the Farm | 1 |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 75 |
About Giovanni Riva
Giovanni Riva is a scholar working on Genetics, Hematology and Oncology, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (14 papers), Viral-associated cancers and disorders (13 papers) and Thermochemical Biomass Conversion Processes (11 papers). The work is most often cited by research in Hematology (154 citations), Oncology (367 citations) and Infectious Diseases (247 citations). Giovanni Riva has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Ester Foppa Pedretti, Giuseppe Toscano, Daniele Duca, Mario Luppi, Patrizia Barozzi, Leonardo Potenza, Giuseppe Torelli, Fabio Forghieri, Giorgio Rossini and C. Mengarelli. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.