Roberto Rigatti

4.1k citations
7 papers · 2.9k · 1 hit paper · h-index 5

Impact in

  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

Roberto Rigatti

7 papers receiving 2.8k citations

Roberto Rigatti's Hit Papers

Accurate whole human genome sequencing using reversible terminator chemistry 2008 · 2.7k citations
2.7k0+6+12Years since publication50010001.5k2.0k2.5k

Peers

Roberto Rigatti
Comparison fields: 5 of 129
  • Genetics 806
  • Cancer Research 351
  • Molecular Biology 1.7k
  • Ecology 280
  • Infectious Diseases 186
Replace Scott M. Kirk with:
Scott M. Kirk United States
Chiara Rodighiero United States
Svilen Tzonev United States
Darren J. Ellis United Kingdom
Lea Pickering United Kingdom
David George United States
Fernando García-Alcalde Spain
Xavier Lee United States
Melanie A. Smith Australia
Pamela M. Holland United States
Roberto Rigatti relative to Scott M. Kirk United States Scott M. Kirk's profile →
Citations per field
00.5×1.5×
Scott M. Kirk · 1×
Citations per year

Countries citing papers authored by Roberto Rigatti

Since Specialization
Citations

This map shows the geographic impact of Roberto Rigatti'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 Rigatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Rigatti more than expected).

Fields of papers citing papers by Roberto Rigatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Rigatti. 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 Rigatti. The network helps show where Roberto Rigatti may publish in the future.

Co-authors

The 25 scholars most cited alongside Roberto Rigatti, 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 Rigatti Line = papers co-authored together Roberto Rigatti links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Accurate whole human genome sequencing using reversible terminator chemistry
Hit paper breakdown →
20082717
2 2009125
3 200345
4 200428
5 201220
6 20155
7 20011

About Roberto Rigatti

Roberto Rigatti is a scholar working on Infectious Diseases, Virology, Parasitology, Hepatology and Plant Science, having authored 7 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (1 paper), Genomics and Phylogenetic Studies (1 paper), Tuberculosis Research and Epidemiology (1 paper), Plant Physiology and Cultivation Studies (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Chromosomal and Genetic Variations (1 paper), Hepatitis C virus research (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Genetics (806 citations), Cancer Research (351 citations), Molecular Biology (1.7k citations), Ecology (280 citations) and Infectious Diseases (186 citations). Roberto Rigatti has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Arianna Loregian, Mary Claire Murphy, Elisabetta Schievano, Giorgio Palù, Howard S. Marsden, Susanne Homolka, Lisa J. Murray, Niall A. Gormley, Claudio Umberto Köser and Stefan Niemann. Their work appears in journals such as PLoS ONE, Journal of Virology, Nature, Nucleic Acids Research and Journal of Clinical Virology.

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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