Daniel Perrone

4.0k citations
83 papers · 3.2k · h-index 32

Impact in

Papers in

    • Phytochemicals and Antioxidant Activities 22
    • Botanical Research and Applications 13
    • Fermentation and Sensory Analysis 4
    • Food Chemistry and Fat Analysis 4

Daniel Perrone

80 papers receiving 3.1k citations

Peers

Daniel Perrone
Comparison fields: 5 of 134
  • Biochemistry 829
  • Pharmacology 1.0k
  • Food Science 1.1k
  • Pathology and Forensic Medicine 683
  • Nutrition and Dietetics 502
Replace Mariana Monteiro with:
Mariana Monteiro Brazil
Višnja Katalinić Croatia
Adriana Farah Brazil
Luca Calani Italy
Concepción Cid Spain
Monica Anese Italy
Silvia Pastoriza Spain
Charng-Cherng Chyau Taiwan
Kotamballi N. Chidambara Murthy India
Mahfuz Elmastaş Türkiye
Daniel Perrone relative to Mariana Monteiro Brazil Mariana Monteiro's profile →
Citations per field
00.5×1.5×
Mariana Monteiro · 1×
Citations per year

Countries citing papers authored by Daniel Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007274
2 2005204
3 2015182
4 2007178
5 2008163
6 2019157
7 2012153
8 2015123
9 2005102
10 201697
11 202094
12 200877
13 202176
14 201575
15 201068
16 200967
17 201764
18 202157
19 202056
20 201552

About Daniel Perrone

Daniel Perrone is a scholar working on Biochemistry, Food Science, Nutrition and Dietetics, Pharmacology and Pathology and Forensic Medicine, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (22 papers), Coffee research and impacts (17 papers), Botanical Research and Applications (13 papers), Tea Polyphenols and Effects (13 papers), Food composition and properties (10 papers), Phytoestrogen effects and research (7 papers), Fermentation and Sensory Analysis (4 papers) and Food Chemistry and Fat Analysis (4 papers). The work is most often cited by research in Biochemistry (829 citations), Pharmacology (1.0k citations), Food Science (1.1k citations), Pathology and Forensic Medicine (683 citations) and Nutrition and Dietetics (502 citations). Daniel Perrone has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Adriana Farah, Carmen Marino Donangelo, Mariana Monteiro, Luiz C. Trugo, Alexandre Guedes Torres, Peter Martin, Tomas de Paulis, Fabrício de Oliveira Silva, Kim Ohanna Pimenta Inada and Nathália Moura‐Nunes. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, Molecules, Foods and Journal of Functional Foods.

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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