Fiorella Biasi

7.9k citations
136 papers · 6.5k indexed · 1 hit paper · h-index 47
Topics
Cholesterol and Lipid Metabolism (43 papers)Atherosclerosis and Cardiovascular Diseases (16 papers)Genomics, phytochemicals, and oxidative stress (12 papers)

In The Last Decade

Fiorella Biasi

134 papers receiving 6.3k citations

Hit Papers

Oxidative Stress and Cell Signalling20042026201120182004100200300400500

Peers

Fiorella Biasi
Comparison fields: 5 of 135
  • Molecular Biology 2.5k
  • Surgery 1.6k
  • Immunology 884
  • Biochemistry 845
  • Physiology 791
Replace Gabriella Leonarduzzi with:
Gabriella Leonarduzzi Italy
Joohun Ha South Korea
Makoto Makishima Japan
Elena Chiarpotto Italy
Yasutake Katoh Japan
Nam Deuk Kim South Korea
Donna D. Zhang United States
Oswald Quehenberger United States
Tsuguhito Ota Japan
Suowen Xu China
Fiorella Biasi relative to Gabriella Leonarduzzi Italy Gabriella Leonarduzzi's profile →
Citations per field
00.5×1.5×
Gabriella Leonarduzzi · 1×
Citations per year

Countries citing papers authored by Fiorella Biasi

Since Specialization
Citations

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

Fields of papers citing papers by Fiorella Biasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiorella Biasi

This figure shows the co-authorship network connecting the top 25 collaborators of Fiorella Biasi. A scholar is included among the top collaborators of Fiorella Biasi 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 Fiorella Biasi. Fiorella Biasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 2
3 11
4 20
5 94
6 122
7 39
8 22
9 66
10 69
11 32
12 48
13 26
14 18
15 69
16 15
17 21
18 24
19 86
20 18

About Fiorella Biasi

Fiorella Biasi is a scholar working on Biochemistry, Biochemistry and Pharmacology, having authored 136 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (43 papers), Atherosclerosis and Cardiovascular Diseases (16 papers) and Genomics, phytochemicals, and oxidative stress (12 papers). The work is most often cited by research in Biochemistry (845 citations), Aging (125 citations) and Pharmacology (565 citations). Fiorella Biasi has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Giuseppe Poli, Gabriella Leonarduzzi, Elena Chiarpotto, Gabriella Testa, Barbara Sottero, Paola Gamba, Umberto Dianzani, Simona Gargiulo, Daniela Rossin and Emanuele Albano. Their work appears in journals such as PLoS ONE, Hepatology and Stroke.

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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