Roberto Amato
- Public Health, Environmental and Occupational Health top 2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Genetics top 10%
- Parasitology top 5%
- Co-authors
- Rick M. FairhurstPharath LimChanaki AmaratungaSeila SuonSokunthea SrengDominic KwiatkowskiOlivo MiottoRichard D. Pearson
- Topics
- Malaria Research and Control (11 papers)Bioinformatics and Genomic Networks (6 papers)Genetic Associations and Epidemiology (5 papers)
- Cited by
- Public Health, Environmental and Occupational HealthParasitologyComputational Theory and Mathematics
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Roberto Amato
36 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Public Health, Environmental and Occupational Health 875
- Molecular Biology 340
- Computational Theory and Mathematics 329
- Genetics 216
- Parasitology 192
Countries citing papers authored by Roberto Amato
This map shows the geographic impact of Roberto Amato'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 Roberto Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Amato more than expected).
Fields of papers citing papers by Roberto Amato
This network shows the impact of papers produced by Roberto Amato. 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 Roberto Amato. The network helps show where Roberto Amato may publish in the future.
Co-authorship network of co-authors of Roberto Amato
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Amato. A scholar is included among the top collaborators of Roberto Amato 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 Roberto Amato. Roberto Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 39 | |
| 3 | Pegvaliase for the treatment of phenylketonuria: A pivotal, double-blind randomized discontinuation Phase 3 clinical trial | 1 |
| 4 | 102 | |
| 5 | 18 | |
| 6 | 28 | |
| 7 | 20 | |
| 8 | Dihydroartemisinin–piperaquine resistance in Plasmodium falciparum malaria in Cambodia: a multisite prospective cohort studybreakdown → | 329 |
| 9 | 238 | |
| 10 | 24 | |
| 11 | 59 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | 57 | |
| 17 | 30 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 57 |
About Roberto Amato
Roberto Amato is a scholar working on Parasitology, Clinical Biochemistry and Genetics, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Bioinformatics and Genomic Networks (6 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (875 citations), Parasitology (192 citations) and Computational Theory and Mathematics (329 citations). Roberto Amato has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Rick M. Fairhurst, Pharath Lim, Chanaki Amaratunga, Seila Suon, Sokunthea Sreng, Dominic Kwiatkowski, Olivo Miotto, Richard D. Pearson, Jacob Almagro‐Garcia and Jim Stalker. Their work appears in journals such as Nature Communications, Bioinformatics 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.