Francesca D’Este

469 citations
20 papers · 352 · h-index 11

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 2
    • Advanced biosensing and bioanalysis techniques 2
    • Histone Deacetylase Inhibitors Research 2
    • Antimicrobial Peptides and Activities 7

Francesca D’Este

19 papers receiving 348 citations

Peers

Francesca D’Este
Comparison fields: 5 of 72
  • Microbiology 147
  • Agronomy and Crop Science 31
  • Food Science 53
  • Molecular Biology 185
  • Immunology 45
Replace Han-Ning Huang with:
Han-Ning Huang Taiwan
C. Xie China
Arnaud Métais France
Sadhana M. Gupta India
Nishank Bhalla United States
Urszula Wnorowska Poland
Nicole Afacan Canada
Amar Patil India
Sonja Bonness Germany
Chongbing Liao China
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Citations per field
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Citations per year

Countries citing papers authored by Francesca D’Este

Since Specialization
Citations

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

Fields of papers citing papers by Francesca D’Este

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca D’Este. 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 Francesca D’Este. The network helps show where Francesca D’Este may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201077
2 201552
3 202044
4 201923
5 201623
6 201218
7 201916
8 202316
9 202015
10 202014
11 201711
12 202410
13 20229
14 20227
15 20215
16 20215
17 20243
18 20233
19 20231
20 20250

About Francesca D’Este

Francesca D’Este is a scholar working on Molecular Biology, Microbiology, Surgery, Food Science and Organic Chemistry, having authored 20 papers that have together received 352 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (7 papers), Orthopedic Infections and Treatments (3 papers), Probiotics and Fermented Foods (3 papers), Nanoplatforms for cancer theranostics (2 papers), Bacterial biofilms and quorum sensing (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Proteins in Food Systems (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Microbiology (147 citations), Agronomy and Crop Science (31 citations), Food Science (53 citations), Molecular Biology (185 citations) and Immunology (45 citations). Francesca D’Este has collaborated with scholars based in Italy, Spain and Russia. Frequent co-authors include Barbara Skerlavaj, Linda Tomasinsig, Luigi E. Xodo, Margherita Zanetti, Alessandro Tossi, Maria Cristina Mazzilli, Renata Piccinini, Valentina Rapozzi, Alessandra Arzese and Alexander S. Tikhomirov. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Molecular Cancer Therapeutics, International Journal of Food Science & Technology, iScience and Bioscience Reports.

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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