Daniela E. Igartúa
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Food Science top 10%
- Proteins in Food Systems
Papers in
-
- RNA Interference and Gene Delivery 4
-
- Dendrimers and Hyperbranched Polymers 9
- Co-authors
- S. Alonso (19 shared papers)María Jimena Prieto (16 shared papers)Carolina Martínez (12 shared papers)Darío M. Cabezas (8 shared papers)Gonzalo G. Palazolo (6 shared papers)Nadia S. Chiaramoni (7 shared papers)María Natalia Calienni (4 shared papers)Verónica Lassalle (1 shared paper)
In The Last Decade
Daniela E. Igartúa
27 papers receiving 492 citations
Peers
Comparison fields: 5 of 90
- Pharmaceutical Science 64
- Food Science 107
- Drug Discovery 1
- Biomaterials 68
- Polymers and Plastics 72
Countries citing papers authored by Daniela E. Igartúa
This map shows the geographic impact of Daniela E. Igartúa'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 E. Igartúa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela E. Igartúa more than expected).
Fields of papers citing papers by Daniela E. Igartúa
This network shows the impact of papers produced by Daniela E. Igartúa. 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 E. Igartúa. The network helps show where Daniela E. Igartúa may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniela E. Igartúa, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2020 | 56 | |
| 3 | 2023 | 43 | |
| 4 | 2018 | 36 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 27 | |
| 7 | 2022 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2017 | 23 | |
| 10 | 2018 | 20 | |
| 11 | 2017 | 20 | |
| 12 | 2024 | 18 | |
| 13 | 2022 | 18 | |
| 14 | 2020 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2013 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2020 | 7 |
About Daniela E. Igartúa
Daniela E. Igartúa is a scholar working on Molecular Biology, Polymers and Plastics, Food Science, Materials Chemistry and Organic Chemistry, having authored 28 papers that have together received 501 indexed citations. Recurring topics across this work include Dendrimers and Hyperbranched Polymers (9 papers), Proteins in Food Systems (6 papers), Polysaccharides Composition and Applications (5 papers), Nanoparticles: synthesis and applications (4 papers), RNA Interference and Gene Delivery (4 papers), Microencapsulation and Drying Processes (4 papers), Advanced Drug Delivery Systems (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Pharmaceutical Science (64 citations), Food Science (107 citations), Drug Discovery (1 citation), Biomaterials (68 citations) and Polymers and Plastics (72 citations). Daniela E. Igartúa has collaborated with scholars based in Argentina, Brazil and Peru. Frequent co-authors include S. Alonso, María Jimena Prieto, Carolina Martínez, Darío M. Cabezas, Gonzalo G. Palazolo, Nadia S. Chiaramoni, María Natalia Calienni, Verónica Lassalle, Marina Pífano and Simone R. Castro. Their work appears in journals such as Journal of Pharmaceutical Sciences, Toxicology and Applied Pharmacology, Journal of Applied Polymer Science, Food Research International and Journal of the Science of Food and Agriculture.
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.