Daniela Pagnozzi
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Microbiology top 2%
Papers in
- Spectroscopy 25
- Advanced Proteomics Techniques and Applications 25
- Mass Spectrometry Techniques and Applications 12
- Co-authors
- María Filippa AddisSergio UzzauAlessandro TancaSalvatore PisanuGrazia BiosaTonina RoggioAntonio PalombaCristina Fraumene
- Journals
- Journal of Proteomics (8 papers)PROTEOMICS (8 papers)Scientific Reports (5 papers)Data in Brief (3 papers)Microbiome (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniela Pagnozzi
83 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 124
- Spectroscopy 584
- Microbiology 190
- Agronomy and Crop Science 309
- Food Science 400
- Aquatic Science 141
Countries citing papers authored by Daniela Pagnozzi
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 0 | |
| 8 | 2019 | 26 | |
| 9 | 2019 | 27 | |
| 10 | 2017 | 23 | |
| 11 | 2016 | 38 | |
| 12 | 2015 | 58 | |
| 13 | 2014 | 87 | |
| 14 | 2014 | 44 | |
| 15 | 2013 | 93 | |
| 16 | 2011 | 25 | |
| 17 | 2011 | 23 | |
| 18 | 2010 | 17 | |
| 19 | 2009 | 51 | |
| 20 | 2006 | 26 |
About Daniela Pagnozzi
Daniela Pagnozzi is a scholar working on Spectroscopy, Microbiology, Agronomy and Crop Science, Aquatic Science and Food Science, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (25 papers), Mass Spectrometry Techniques and Applications (12 papers), Milk Quality and Mastitis in Dairy Cows (11 papers), Probiotics and Fermented Foods (11 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Gut microbiota and health (10 papers), Molecular Biology Techniques and Applications (9 papers) and Aquaculture Nutrition and Growth (7 papers). The work is most often cited by research in Spectroscopy (584 citations), Microbiology (190 citations), Agronomy and Crop Science (309 citations), Food Science (400 citations) and Aquatic Science (141 citations). Daniela Pagnozzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include María Filippa Addis, Sergio Uzzau, Alessandro Tanca, Salvatore Pisanu, Grazia Biosa, Tonina Roggio, Antonio Palomba, Cristina Fraumene, Massimo Deligios and Piero Pucci. Their work appears in journals such as Journal of Proteomics, PROTEOMICS, Scientific Reports, Data in Brief and Microbiome.
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.