Alberto Riva
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Ecology top 2%
- Microbial Community Ecology and Physiology
Papers in
-
- Epigenetics and DNA Methylation 14
- Genomics and Chromatin Dynamics 8
- Genomics and Phylogenetic Studies 7
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- Data Management and Algorithms 8
- Time Series Analysis and Forecasting 7
- Co-authors
- Eric W. Triplett (3 shared papers)Luiz Fernando Würdig Roesch (3 shared papers)Roberta R. Fulthorpe (2 shared papers)Isaac S. Kohane (9 shared papers)George Casella (2 shared papers)Angela D. Kent (1 shared paper)William G. Farmerie (1 shared paper)Flavio Anastácio de Oliveira Camargo (1 shared paper)
- Journals
- BMC Bioinformatics (9 papers)Bioinformatics (5 papers)Artificial Intelligence in Medicine (3 papers)Computer Methods and Programs in Biomedicine (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Alberto Riva
124 papers receiving 5.4k citations
Alberto Riva's Hit Papers
Peers
Comparison fields: 5 of 182
- Cancer Research 611
- Ecology 1.0k
- Soil Science 338
- Molecular Biology 2.3k
- Aging 59
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 128 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 | 1480 |
| 2 | 2007 | 377 | |
| 3 | 2004 | 290 | |
| 4 | 2007 | 249 | |
| 5 | 2016 | 213 | |
| 6 | 2002 | 182 | |
| 7 | 2005 | 169 | |
| 8 | 2008 | 135 | |
| 9 | 2002 | 114 | |
| 10 | 2002 | 110 | |
| 11 | 2017 | 106 | |
| 12 | 2005 | 102 | |
| 13 | 2010 | 98 | |
| 14 | 2001 | 88 | |
| 15 | 2006 | 83 | |
| 16 | 2009 | 79 | |
| 17 | 2011 | 78 | |
| 18 | 2019 | 75 | |
| 19 | 2004 | 67 | |
| 20 | 2009 | 67 |
About Alberto Riva
Alberto Riva is a scholar working on Molecular Biology, Signal Processing, Hematology, Information Systems and Cancer Research, having authored 128 papers that have together received 5.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Semantic Web and Ontologies (9 papers), Data Management and Algorithms (8 papers), Data Mining Algorithms and Applications (8 papers), Genomics and Chromatin Dynamics (8 papers), Bayesian Modeling and Causal Inference (7 papers), Genomics and Phylogenetic Studies (7 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Cancer Research (611 citations), Ecology (1.0k citations), Soil Science (338 citations), Molecular Biology (2.3k citations) and Aging (59 citations). Alberto Riva has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Eric W. Triplett, Luiz Fernando Würdig Roesch, Roberta R. Fulthorpe, Isaac S. Kohane, George Casella, Angela D. Kent, William G. Farmerie, Flavio Anastácio de Oliveira Camargo, Samira H. Daroub and Riccardo Bellazzi. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Artificial Intelligence in Medicine, Computer Methods and Programs in Biomedicine and PLoS ONE.
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.