Roberto Amato

9.4k citations
38 papers · 1.5k · 1 hit paper · h-index 21

Impact in

Papers in

Roberto Amato

37 papers receiving 1.5k citations

Roberto Amato's Hit Papers

Dihydroartemisinin–piperaquine resistance in Plasmodium falciparum malaria in Cambodia: a multisite prospective cohort study 2016 · 343 citations
3430+3+6Years since publication100200300

Peers

Roberto Amato
Comparison fields: 5 of 115
  • Public Health, Environmental and Occupational Health 972
  • Parasitology 151
  • Computational Theory and Mathematics 238
  • Sensory Systems 58
  • Clinical Biochemistry 65
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Citations per field
00.5×10×15×19.3×
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Citations per year

Countries citing papers authored by Roberto Amato

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Roberto Amato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Amato Line = papers co-authored together Roberto Amato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dihydroartemisinin–piperaquine resistance in Plasmodium falciparum malaria in Cambodia: a multisite prospective cohort study
Hit paper breakdown →
2016343
2 2016246
3 2018112
4 201679
5 201772
6 201564
7 201864
8 201061
9 200258
10 201942
11 201839
12 200634
13 200932
14 201831
15 201730
16 201526
17 201025
18 202022
19 202122
20 201621

About Roberto Amato

Roberto Amato is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Molecular Biology, Clinical Biochemistry and Physiology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Genetic Associations and Epidemiology (5 papers), Gene expression and cancer classification (4 papers), Metabolism and Genetic Disorders (3 papers), Bioinformatics and Genomic Networks (3 papers), Diet and metabolism studies (2 papers), Data Mining Algorithms and Applications (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (972 citations), Parasitology (151 citations), Computational Theory and Mathematics (238 citations), Sensory Systems (58 citations) and Clinical Biochemistry (65 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 Eleanor Drury. Their work appears in journals such as The Lancet Infectious Diseases, Bioinformatics, Malaria Journal, PLoS ONE and BMC Bioinformatics.

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.

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