Daniela Florio

1.2k citations
59 papers · 912 · h-index 19

Impact in

    • Helminth infection and control
    • Infectious Diseases and Mycology
    • Vibrio bacteria research studies

Papers in

Daniela Florio

58 papers receiving 879 citations

Peers

Daniela Florio
Comparison fields: 5 of 97
  • Small Animals 177
  • Endocrinology 97
  • Immunology 258
  • Parasitology 75
  • Food Science 192
Replace David T. Gauthier with:
David T. Gauthier United States
J Jarp Norway
Douglas McIntosh Brazil
G. Charlier Belgium
E. Brun Norway
Varpu Hirvelä-Koski Finland
T. Greenway United States
E.D. Watson United Kingdom
Joseph C. Newton United States
Helle Risdahl Juul‐Madsen Denmark
Daniela Florio relative to David T. Gauthier United States David T. Gauthier's profile →
Citations per field
00.5×4.4×
David T. Gauthier · 1×
Citations per year

Countries citing papers authored by Daniela Florio

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Florio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200484
2 201070
3 200866
4 201353
5 202038
6 201236
7 201235
8 201930
9 200930
10 201329
11 201528
12 200426
13 200626
14 201825
15 200422
16 201821
17 201920
18 202019
19
Parasitic diseases of marine fish: epidemiological and sanitary considerations.
200619
20 200717

About Daniela Florio

Daniela Florio is a scholar working on Ecology, Molecular Biology, Immunology, Small Animals and Food Science, having authored 59 papers that have together received 912 indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (16 papers), Aquaculture disease management and microbiota (10 papers), Myxozoan Parasites in Aquatic Species (9 papers), Salmonella and Campylobacter epidemiology (8 papers), Mycobacterium research and diagnosis (7 papers), Animal Behavior and Welfare Studies (7 papers), Identification and Quantification in Food (7 papers) and Human-Animal Interaction Studies (6 papers). The work is most often cited by research in Small Animals (177 citations), Endocrinology (97 citations), Immunology (258 citations), Parasitology (75 citations) and Food Science (192 citations). Daniela Florio has collaborated with scholars based in Italy, Croatia and United States. Frequent co-authors include Marialetizia Fioravanti, Renato Giulio Zanoni, Monica Caffara, Andrea Gustinelli, Federica Marcer, Federica Giacometti, Andrea Serraino, Silvia Piva, Marino Prearo and Mirko Rossi. Their work appears in journals such as PLoS ONE, Veterinary Research Communications, Animals, Journal of Fish Diseases and Foodborne Pathogens and Disease.

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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