Bartolo Favaloro

1.1k total citations · 1 hit paper
21 papers, 906 citations indexed

About

Bartolo Favaloro is a scholar working on Molecular Biology, Biochemistry and Pollution. According to data from OpenAlex, Bartolo Favaloro has authored 21 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Biochemistry and 3 papers in Pollution. Recurrent topics in Bartolo Favaloro's work include Glutathione Transferases and Polymorphisms (15 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Sulfur Compounds in Biology (6 papers). Bartolo Favaloro is often cited by papers focused on Glutathione Transferases and Polymorphisms (15 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Sulfur Compounds in Biology (6 papers). Bartolo Favaloro collaborates with scholars based in Italy, Germany and Australia. Bartolo Favaloro's co-authors include Nerino Allocati, Vincenzo De Laurenzi, Vincenzo Graziano, C. Di Ilio, Carmine Di Ilio, Domenico Rotilio, Antonio Mario Tamburro, Antonella De Luca, Michele Masulli and Paolo Sacchetta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and The FASEB Journal.

In The Last Decade

Bartolo Favaloro

21 papers receiving 890 citations

Hit Papers

Role of Apoptosis in disease 2012 2026 2016 2021 2012 100 200 300 400

Peers

Bartolo Favaloro
Comparison fields: 5 of 100
  • Molecular Biology 595
  • Immunology 96
  • Nutrition and Dietetics 90
  • Pollution 75
  • Cancer Research 72
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Zuzana Májková United States
Li Song China
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Tsu‐Chung Chang Taiwan
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Zhiwei Ye United States
Siqi Tian China
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Laurence Huc France View profile →
Citations per field, relative to Bartolo Favaloro
Bartolo Favaloro · 1×
Citations per year, relative to Bartolo Favaloro
Bartolo Favaloro · 1×

Countries citing papers authored by Bartolo Favaloro

Since Specialization
Citations

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

Fields of papers citing papers by Bartolo Favaloro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartolo Favaloro

This figure shows the co-authorship network connecting the top 25 collaborators of Bartolo Favaloro. A scholar is included among the top collaborators of Bartolo Favaloro 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 Bartolo Favaloro. Bartolo Favaloro 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
# Work Indexed citations
1
Role of Apoptosis in disease breakdown →
452
2 54
3 78
4 5
5 13
6 30
7 17
8 9
9 60
10 8
11 4
12 42
13 7
14 6
15 5
16 8
17 13
18 14
19 35
20 35

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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