Laura Dato

578 citations
13 papers · 427 · h-index 8

Impact in

    • Transgenic Plants and Applications
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • Viral Infectious Diseases and Gene Expression in Insects
    • Enzyme Catalysis and Immobilization
    • CRISPR and Genetic Engineering

Papers in

    • Fungal and yeast genetics research 11
    • Microbial Metabolic Engineering and Bioproduction 6
    • Polyamine Metabolism and Applications 2
    • Yeasts and Rust Fungi Studies 1
    • Biofuel production and bioconversion 7

Laura Dato

13 papers receiving 421 citations

Peers

Laura Dato
Comparison fields: 5 of 60
  • Biotechnology 88
  • Molecular Biology 369
  • Food Science 64
  • Tourism, Leisure and Hospitality Management 5
  • Biomedical Engineering 122
Replace Ilya Tolstorukov with:
Ilya Tolstorukov United States
Antônio Milton Vieira Gomes Brazil
Kersti Kristjuhan Estonia
Tanja Hajek Austria
Marko Lõoke Estonia
Roland Prielhofer Austria
Manfred Suckow Germany
Astrid Weninger Austria
Mónika Bollók Sweden
Д. Г. Козлов Russia
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Citations per field
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Ilya Tolstorukov · 1×
Citations per year

Countries citing papers authored by Laura Dato

Since Specialization
Citations

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

Fields of papers citing papers by Laura Dato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011249
2 201144
3 201927
4 201020
5 201019
6 201418
7 202217
8 201410
9 20147
10 20086
11 20256
12 20242
13 20222

About Laura Dato

Laura Dato is a scholar working on Molecular Biology, Biomedical Engineering, Food Science, Biomaterials and Cell Biology, having authored 13 papers that have together received 427 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (11 papers), Biofuel production and bioconversion (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Fermentation and Sensory Analysis (3 papers), Polyamine Metabolism and Applications (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Yeasts and Rust Fungi Studies (1 paper) and Mycotoxins in Agriculture and Food (1 paper). The work is most often cited by research in Biotechnology (88 citations), Molecular Biology (369 citations), Food Science (64 citations), Tourism, Leisure and Hospitality Management (5 citations) and Biomedical Engineering (122 citations). Laura Dato has collaborated with scholars based in Italy, Denmark and Austria. Frequent co-authors include Danilo Porro, Paola Branduardi, Diethard Mattanovich, Michael Sauer, Brigitte Gasser, Simone Passolunghi, Gianni Frascotti, Alexandra B. Graf, Martin Dragosits and Pau Ferrer. Their work appears in journals such as Microbial Cell Factories, FEMS Yeast Research, BMC Genomics, GigaScience and Toxins.

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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