Francesco Righetti

580 citations
18 papers · 403 · h-index 11

Impact in

    • Bacterial Genetics and Biotechnology
    • Yersinia bacterium, plague, ectoparasites research

Papers in

Francesco Righetti

15 papers receiving 399 citations

Peers

Francesco Righetti
Comparison fields: 5 of 70
  • Endocrinology 44
  • Genetics 132
  • Molecular Biology 295
  • Microbiology 23
  • Ecology 81
Replace Gideon Mamou with:
Gideon Mamou Israel
Sutharsan Govindarajan India
Dave van Ditmarsch United States
Joshua W. McCausland United States
Khédidja Mosbahi United Kingdom
Antoine Malabirade France
Fabienne Estermann Switzerland
Roman Häuser Germany
Gaël Panis Switzerland
Joanna Coker United States
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Citations per field
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Citations per year

Countries citing papers authored by Francesco Righetti

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Righetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201677
2 201666
3 201864
4 201351
5 201242
6 202023
7 201422
8 201913
9 201712
10 202212
11 201610
12 20207
13
A fast surrogate model tailor-made for real time control
20172
14 20251
15 20251
16 20250
17 20250
18 20250

About Francesco Righetti

Francesco Righetti is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Infectious Diseases and Ecology, having authored 18 papers that have together received 403 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Streptococcal Infections and Treatments (5 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), RNA Research and Splicing (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Endocrinology (44 citations), Genetics (132 citations), Molecular Biology (295 citations), Microbiology (23 citations) and Ecology (81 citations). Francesco Righetti has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Franz Narberhaus, Edmund Loh, Erin R. Murphy, Sabine Müller, Mimi Gao, Simon Ebbinghaus, David Gnutt, Jens Kortmann, Petra Dersch and Roland Winter. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Vaccine, RNA Biology and Water.

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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