Daniela Pagnozzi

3.1k citations
86 papers · 2.4k · h-index 31

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Gut microbiota and health 8
    • Metabolomics and Mass Spectrometry Studies 8
    • Molecular Biology Techniques and Applications 8
    • Advanced Proteomics Techniques and Applications 22
    • Mass Spectrometry Techniques and Applications 11

Daniela Pagnozzi

83 papers receiving 2.4k citations

Peers

Daniela Pagnozzi
Comparison fields: 5 of 121
  • Spectroscopy 558
  • Microbiology 187
  • Agronomy and Crop Science 305
  • Food Science 386
  • Aquatic Science 136
Replace Jun Yao with:
Jun Yao China
Simona Arena Italy
Norbert Arold Germany
Hildburg Beier Germany
Rosaria Saletti Italy
Wolfgang Ehrhardt Germany
Rosa Anna Siciliano Italy
Céline Henry France
Gary F. Clark United States
Maria Gabriella Giuffrida Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Pagnozzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pagnozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009135
2 201395
3 201695
4 201392
5 201489
6 201078
7 200868
8 201762
9 201562
10 201159
11 201056
12 201855
13 201151
14 200951
15 201251
16 201348
17 201446
18 200546
19 201445
20 201444

About Daniela Pagnozzi

Daniela Pagnozzi is a scholar working on Molecular Biology, Spectroscopy, Food Science, Agronomy and Crop Science and Microbiology, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (22 papers), Milk Quality and Mastitis in Dairy Cows (11 papers), Mass Spectrometry Techniques and Applications (11 papers), Probiotics and Fermented Foods (11 papers), Gut microbiota and health (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Molecular Biology Techniques and Applications (8 papers) and Aquaculture Nutrition and Growth (7 papers). The work is most often cited by research in Spectroscopy (558 citations), Microbiology (187 citations), Agronomy and Crop Science (305 citations), Food Science (386 citations) and Aquatic Science (136 citations). Daniela Pagnozzi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include María Filippa Addis, Sergio Uzzau, Alessandro Tanca, Salvatore Pisanu, Grazia Biosa, Tonina Roggio, Antonio Palomba, Cristina Fraumene, Massimo Deligios and Marcello Abbondio. Their work appears in journals such as Journal of Proteomics, PROTEOMICS, Data in Brief, Scientific Reports and PLoS ONE.

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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