L. Ferlito

890 citations
16 papers · 508 indexed · h-index 12
Topics
Genetics, Aging, and Longevity in Model Organisms (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Diet and metabolism studies (3 papers)
Partner nations
ItalyUnited States

In The Last Decade

L. Ferlito

16 papers receiving 485 citations

Peers

L. Ferlito
Comparison fields: 5 of 89
  • Epidemiology 93
  • Physiology 83
  • Immunology 82
  • Hepatology 71
  • Neuropsychology and Physiological Psychology 62
Replace Przemysław Ślusarczyk with:
Przemysław Ślusarczyk Poland
Paola Gueresi Italy
M. A. McCormick United States
Wiebke Erhart Germany
K. Kitagawa Japan
Alessandro Ferrini Italy
Amit Patki United States
Ettore Bennati Italy
Andrea Lehoczki Hungary
L. Ferlito relative to Przemysław Ślusarczyk Poland Przemysław Ślusarczyk's profile →
Citations per field
00.5×20×40×60×71×
Przemysław Ślusarczyk · 1×
Citations per year

Countries citing papers authored by L. Ferlito

Since Specialization
Citations

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

Fields of papers citing papers by L. Ferlito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Ferlito

This figure shows the co-authorship network connecting the top 25 collaborators of L. Ferlito. A scholar is included among the top collaborators of L. Ferlito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Ferlito. L. Ferlito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 16
2 11
3 29
4 25
5 25
6 6
7 11
8 115
9 12
10 5
11 40
12 97
13 1
14 83
15 2
16
Serum interleukin 6 concentrations in chronic hepatitis C patients before and after interferon-alpha treatment.
30

About L. Ferlito

L. Ferlito is a scholar working on Aging, Neuropsychology and Physiological Psychology and Geriatrics and Gerontology, having authored 16 papers that have together received 508 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (62 citations), Aging (36 citations) and Biological Psychiatry (41 citations). L. Ferlito has collaborated with scholars based in Italy and United States. Frequent co-authors include Mariano Malaguarnera, Ettore Bennati, Massimo Motta, Luciano Motta, Lucia Malaguarnera, Rosa Imbesi, Stefania Di Mauro, Giovanni Pistone, D. Maugeri and Ignazio Di Fazio. Their work appears in journals such as Atherosclerosis, Experimental Gerontology and Archives of Gerontology and Geriatrics.

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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