Daniela Gastaldi
Impact in
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
- Pharmacology top 2%
- Cannabis and Cannabinoid Research
Papers in
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- Fatty Acid Research and Health 3
- Co-authors
- Shafi Mussa (1 shared paper)Tomasz J. Guzik (1 shared paper)C Ratnatunga (1 shared paper)Jerzy Sadowski (1 shared paper)Keith M. Channon (1 shared paper)Ravi Pillai (1 shared paper)Franco Dosio (10 shared papers)Carlo Della Pepa (5 shared papers)
In The Last Decade
Daniela Gastaldi
36 papers receiving 1.8k citations
Daniela Gastaldi's Hit Papers
Peers
Comparison fields: 5 of 140
- Clinical Biochemistry 140
- Pharmacology 326
- Biochemistry 130
- Physiology 387
- Conservation 56
Countries citing papers authored by Daniela Gastaldi
This map shows the geographic impact of Daniela Gastaldi'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 Gastaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gastaldi more than expected).
Fields of papers citing papers by Daniela Gastaldi
This network shows the impact of papers produced by Daniela Gastaldi. 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 Gastaldi. The network helps show where Daniela Gastaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gastaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanisms of Increased Vascular Superoxide Production in Human Diabetes Mellitus Hit paper breakdown → | 2002 | 837 |
| 2 | 2018 | 218 | |
| 3 | 2013 | 118 | |
| 4 | 2021 | 113 | |
| 5 | 2017 | 85 | |
| 6 | 2010 | 62 | |
| 7 | 1993 | 54 | |
| 8 | 2012 | 51 | |
| 9 | 2020 | 47 | |
| 10 | 1995 | 38 | |
| 11 | 2014 | 37 | |
| 12 | 2013 | 30 | |
| 13 | 2017 | 22 | |
| 14 | 1993 | 21 | |
| 15 | 2005 | 17 | |
| 16 | 2018 | 15 | |
| 17 | 2013 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 2020 | 9 | |
| 20 | 2018 | 9 |
About Daniela Gastaldi
Daniela Gastaldi is a scholar working on Nutrition and Dietetics, Molecular Biology, Food Science, Pharmacology and Animal Science and Zoology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Food Chemistry and Fat Analysis (4 papers), Cannabis and Cannabinoid Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Fatty Acid Research and Health (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Cancer Treatment and Pharmacology (3 papers), Meat and Animal Product Quality (3 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Clinical Biochemistry (140 citations), Pharmacology (326 citations), Biochemistry (130 citations), Physiology (387 citations) and Conservation (56 citations). Daniela Gastaldi has collaborated with scholars based in Italy, Belarus and Bulgaria. Frequent co-authors include Shafi Mussa, Tomasz J. Guzik, C Ratnatunga, Jerzy Sadowski, Keith M. Channon, Ravi Pillai, Franco Dosio, Carlo Della Pepa, Natascia Bruni and Barbara Stella. Their work appears in journals such as Journal of Chromatography A, Food Chemistry, European Journal of Lipid Science and Technology, Circulation and Dyes and Pigments.
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.