Maria Daglia

32.4k total citations · 15 hit papers
314 papers, 19.4k citations indexed

About

Maria Daglia is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Maria Daglia has authored 314 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 64 papers in Biochemistry and 64 papers in Plant Science. Recurrent topics in Maria Daglia's work include Phytochemicals and Antioxidant Activities (54 papers), Essential Oils and Antimicrobial Activity (25 papers) and Tea Polyphenols and Effects (21 papers). Maria Daglia is often cited by papers focused on Phytochemicals and Antioxidant Activities (54 papers), Essential Oils and Antimicrobial Activity (25 papers) and Tea Polyphenols and Effects (21 papers). Maria Daglia collaborates with scholars based in Italy, China and Iran. Maria Daglia's co-authors include Seyed Fazel Nabavi, Seyed Mohammad Nabavi, Antonio García‐Ríos, Eduardo Sobarzo‐Sánchez, İlkay Erdoğan Orhan, Anna Marchese, Gabriella Gazzani, Adele Papetti, Arianna Di Lorenzo and Solomon Habtemariam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Maria Daglia

302 papers receiving 18.9k citations

Hit Papers

Polyphenols as antimicrobial agents 2011 2026 2016 2021 2011 2016 2017 2017 2016 250 500 750 1000

Peers

Maria Daglia
Comparison fields: 5 of 177
  • Molecular Biology 6.2k
  • Food Science 4.3k
  • Plant Science 4.3k
  • Biochemistry 3.5k
  • Pharmacology 2.1k
Replace Seyed Fazel Nabavi with:
Seyed Fazel Nabavi Iran
Javad Sharifi‐Rad Iran
Ren‐You Gan China
Seyed Mohammad Nabavi Iran
Hua‐Bin Li China
Natália Martins Portugal
Baojun Xu China
Min‐Hsiung Pan Taiwan
Gow‐Chin Yen Taiwan
Mingfu Wang China
Seyed Fazel Nabavi Iran View profile →
Citations per field, relative to Maria Daglia
Maria Daglia · 1×
Citations per year, relative to Maria Daglia
Maria Daglia · 1×

Countries citing papers authored by Maria Daglia

Since Specialization
Citations

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

Fields of papers citing papers by Maria Daglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Daglia

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Daglia. A scholar is included among the top collaborators of Maria Daglia 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 Maria Daglia. Maria Daglia 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 0
2 1
3 1
4 0
5 4
6 10
7 1
8 2
9 0
10 5
11 1
12 48
13 2
14 36
15 22
16 7
17
Antimicrobial Potential of Curcumin: Therapeutic Potential and Challenges to Clinical Applications breakdown →
173
18 10
19 15
20 7

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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2026