F. Ferraro

578 citations
13 papers · 463 · h-index 8

Impact in

Papers in

F. Ferraro

12 papers receiving 443 citations

Peers

F. Ferraro
Comparison fields: 5 of 68
  • Endocrine and Autonomic Systems 99
  • Endocrinology, Diabetes and Metabolism 136
  • Pathology and Forensic Medicine 138
  • Nutrition and Dietetics 93
  • Physiology 129
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Daruneewan Warodomwichit Thailand
Concetta Valeria Iannucci Italy
Javier Maravall Spain
S Tarui Japan
Mendane Saka Türkiye
Yvonne H M Krul-Poel Netherlands
Jee-Aee Im South Korea
Elisabeth Hasler Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by F. Ferraro

Since Specialization
Citations

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

Fields of papers citing papers by F. Ferraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011150
2 200987
3 201179
4 201344
5 199636
6 201336
7 201216
8
[Pediatric non-alcoholic fatty liver disease: recent advances and challenges].
20107
9
ENDOTHELIAL DYSFUNCTION IN PEDIATRIC NONALCOHOLIC FATTY LIVER DISEASE
20103
10
Aspartate transaminase to platelet ratio index (APRI) to assess liver fibrosis in patients with chronic liver disease.
20113
11 19831
12 20251
13 20250

About F. Ferraro

F. Ferraro is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Physiology and Hepatology, having authored 13 papers that have together received 463 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (2 papers), Neonatal and Maternal Infections (2 papers), Sepsis Diagnosis and Treatment (2 papers), Liver Disease and Transplantation (1 paper), Thyroid Disorders and Treatments (1 paper), Prostate Cancer Treatment and Research (1 paper) and Advanced Thermodynamic Systems and Engines (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (99 citations), Endocrinology, Diabetes and Metabolism (136 citations), Pathology and Forensic Medicine (138 citations), Nutrition and Dietetics (93 citations) and Physiology (129 citations). F. Ferraro has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Lucia Pacifico, Claudio Chiesa, Enea Bonci, C. Anania, Caterina Anania, J F Osborn, Eleonora Poggiogalle, Francesco Costantino, Francesco Chiarelli and G Andreoli. Their work appears in journals such as European Journal of Endocrinology, Clinica Chimica Acta, Pediatric Research, Obesity Surgery and Journal of Pediatric Gastroenterology and Nutrition.

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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