F Mosca

48 papers receiving 564 citations

Peers

F Mosca
Comparison fields: 5 of 94
  • Endocrinology 54
  • Aquatic Science 75
  • Immunology 181
  • Global and Planetary Change 151
  • Sensory Systems 34
Replace Eva‐Maria Bernoth with:
Eva‐Maria Bernoth Australia
Taeko Miyazaki Japan
Daryi Wang Taiwan
P. Valembois France
Donald L. Neiffer United States
Francesco Pascoli Italy
Andrea L. Battison Canada
Sandra O’Keefe Canada
Tomomasa Matsuyama Japan
Shawn Johnson United States
F Mosca relative to Eva‐Maria Bernoth Australia Eva‐Maria Bernoth's profile →
Citations per field
00.5×3.4×
Eva‐Maria Bernoth · 1×
Citations per year

Countries citing papers authored by F Mosca

Since Specialization
Citations

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

Fields of papers citing papers by F Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 200470
3 200939
4 201330
5 201228
6 201724
7 201420
8 201719
9 202116
10
Longitudinal variations in fitting parameters for adult cochlear implant recipients.
201415
11 198614
12 202213
13 200412
14 201212
15 201111
16 201910
17 201810
18 20188
19
Multicentric study: statistical correlation between clinical data and instrumental findings in laryngo-pharyngeal reflux: proposal for a new ENT classification of reflux.
20068
20 20207

About F Mosca

F Mosca is a scholar working on Immunology, Ecology, Molecular Biology, Global and Planetary Change and Surgery, having authored 49 papers that have together received 577 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (9 papers), Marine Bivalve and Aquaculture Studies (8 papers), Microbial infections and disease research (4 papers), Parasite Biology and Host Interactions (3 papers), Vibrio bacteria research studies (3 papers), Aquaculture Nutrition and Growth (3 papers), Pancreatic function and diabetes (3 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Endocrinology (54 citations), Aquatic Science (75 citations), Immunology (181 citations), Global and Planetary Change (151 citations) and Sensory Systems (34 citations). F Mosca has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Pietro Giorgio Tiscar, Massimiliano Galdiero, Carla Zannella, Francesca Mariani, Gianluigi Franci, Veronica Folliero, Carlo Antonio Leone, Chiara Bulfon, Marco Galeotti and Donatella Volpatti. Their work appears in journals such as Diabetologia, Veterinary Sciences, Acta Otorhinolaryngologica Italica, Veterinary Immunology and Immunopathology and International Journal of Food Science & Technology.

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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