Alberto Riva
- Molecular Biology top 5%
- Ecology top 2%
- Cancer Research top 5%
- Oncology top 5%
- Plant Science top 5%
- Co-authors
- Eric W. TriplettLuiz Fernando Würdig RoeschRoberta R. FulthorpeIsaac S. KohaneGeorge CasellaFlavio Anastácio de Oliveira CamargoWilliam G. FarmerieAngela D. Kent
- Topics
- Epigenetics and DNA Methylation (16 papers)Genomics and Chromatin Dynamics (10 papers)Genomics and Phylogenetic Studies (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesItalySpain
In The Last Decade
Alberto Riva
110 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Molecular Biology 2.3k
- Ecology 982
- Cancer Research 626
- Oncology 472
- Plant Science 425
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-authorship network of co-authors of Alberto Riva
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Riva. A scholar is included among the top collaborators of Alberto 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 Alberto Riva. Alberto 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 | 8 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 65 | |
| 13 | 92 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | Pyrosequencing enumerates and contrasts soil microbial diversitybreakdown → | 1337 |
| 17 | 238 | |
| 18 | 271 | |
| 19 | A Distributed, Secure File System For Personal Medical Records | 2 |
| 20 | A Web-Based System for Diabetes Management: The Technical and Clinical Infrastructure | 2 |
About Alberto Riva
Alberto Riva is a scholar working on Molecular Biology, Cancer Research and Hematology, having authored 115 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 (10 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Cancer Research (626 citations), Ecology (982 citations) and Molecular Biology (2.3k citations). Alberto Riva has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Eric W. Triplett, Luiz Fernando Würdig Roesch, Roberta R. Fulthorpe, Isaac S. Kohane, George Casella, Flavio Anastácio de Oliveira Camargo, William G. Farmerie, Angela D. Kent, Samira H. Daroub and Riccardo Bellazzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.