Alberto Riva
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Ecology top 2%
- Microbial Community Ecology and Physiology
Papers in
-
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 8
- Genomics and Phylogenetic Studies 7
- Histone Deacetylase Inhibitors Research 5
- Genetics 13
- Co-authors
- Luiz Fernando Würdig Roesch (3 shared papers)Eric W. Triplett (3 shared papers)Roberta R. Fulthorpe (2 shared papers)Isaac S. Kohane (9 shared papers)George Casella (2 shared papers)Samira H. Daroub (1 shared paper)William G. Farmerie (1 shared paper)Flavio Anastácio de Oliveira Camargo (1 shared paper)
- Journals
- Blood (9 papers)BMC Bioinformatics (9 papers)Bioinformatics (5 papers)Computer Methods and Programs in Biomedicine (3 papers)Artificial Intelligence in Medicine (3 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
Alberto Riva
113 papers receiving 4.6k citations
Alberto Riva's Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 572
- Ecology 944
- Molecular Biology 2.1k
- Soil Science 301
- Aging 42
Countries citing papers authored by Alberto Riva
This map shows the geographic impact of Alberto 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 Alberto Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Riva more than expected).
Fields of papers citing papers by Alberto Riva
This network shows the impact of papers produced by Alberto 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 Alberto Riva. The network helps show where Alberto Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pyrosequencing enumerates and contrasts soil microbial diversity Hit paper breakdown → | 2007 | 1341 |
| 2 | 2007 | 362 | |
| 3 | 2004 | 274 | |
| 4 | 2007 | 240 | |
| 5 | 2002 | 175 | |
| 6 | 2005 | 167 | |
| 7 | 2008 | 129 | |
| 8 | 2002 | 114 | |
| 9 | 2002 | 103 | |
| 10 | 2005 | 100 | |
| 11 | 2010 | 93 | |
| 12 | 2017 | 93 | |
| 13 | 2006 | 80 | |
| 14 | 2011 | 77 | |
| 15 | 2001 | 76 | |
| 16 | 2009 | 72 | |
| 17 | 2019 | 67 | |
| 18 | 2004 | 61 | |
| 19 | 1998 | 50 | |
| 20 | 2017 | 44 |
About Alberto Riva
Alberto Riva is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Information Systems and Cancer Research, having authored 117 papers that have together received 4.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (8 papers), Genomics and Phylogenetic Studies (7 papers), Semantic Web and Ontologies (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Cancer Genomics and Diagnostics (5 papers), Data Mining Algorithms and Applications (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Cancer Research (572 citations), Ecology (944 citations), Molecular Biology (2.1k citations), Soil Science (301 citations) and Aging (42 citations). Alberto Riva has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Luiz Fernando Würdig Roesch, Eric W. Triplett, Roberta R. Fulthorpe, Isaac S. Kohane, George Casella, Samira H. Daroub, William G. Farmerie, Flavio Anastácio de Oliveira Camargo, Angela D. Kent and Riccardo Bellazzi. Their work appears in journals such as Blood, BMC Bioinformatics, Bioinformatics, Computer Methods and Programs in Biomedicine and Artificial Intelligence in Medicine.
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.