Rosa Ventura
- Endocrinology, Diabetes and Metabolism top 0.5%
- Spectroscopy top 0.5%
- Animal Science and Zoology top 0.5%
- Health, Toxicology and Mutagenesis top 1%
- Molecular Biology
- Co-authors
- Jordi SeguraÓscar J. PozoJosep MarcosNúria MonfortAndreu FabregatMaribel CasasMartine VrijheidDamaskini Valvi
- Topics
- Hormonal and reproductive studies (90 papers)Pharmacological Effects and Assays (47 papers)Pesticide Residue Analysis and Safety (28 papers)
- Journals
- Analytical ChemistryEnvironmental Health PerspectivesJournal of Allergy and Clinical Immunology
- Partner nations
- SpainItalySwitzerland
In The Last Decade
Rosa Ventura
173 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 152
- Endocrinology, Diabetes and Metabolism 1.9k
- Spectroscopy 1.1k
- Animal Science and Zoology 929
- Health, Toxicology and Mutagenesis 797
- Molecular Biology 685
Countries citing papers authored by Rosa Ventura
This map shows the geographic impact of Rosa Ventura'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 Rosa Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Ventura more than expected).
Fields of papers citing papers by Rosa Ventura
This network shows the impact of papers produced by Rosa Ventura. 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 Rosa Ventura. The network helps show where Rosa Ventura may publish in the future.
Co-authorship network of co-authors of Rosa Ventura
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Ventura. A scholar is included among the top collaborators of Rosa Ventura 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 Rosa Ventura. Rosa Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 154 | |
| 6 | 21 | |
| 7 | 194 | |
| 8 | 11 | |
| 9 | 37 | |
| 10 | 23 | |
| 11 | 31 | |
| 12 | 65 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | 18 | |
| 17 | 4 | |
| 18 | 41 | |
| 19 | 31 | |
| 20 | 5 |
About Rosa Ventura
Rosa Ventura is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Toxicology, having authored 176 papers that have together received 4.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (90 papers), Pharmacological Effects and Assays (47 papers) and Pesticide Residue Analysis and Safety (28 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Toxicology (374 citations) and Animal Science and Zoology (929 citations). Rosa Ventura has collaborated with scholars based in Spain, Italy and Switzerland. Frequent co-authors include Jordi Segura, Óscar J. Pozo, Josep Marcos, Núria Monfort, Andreu Fabregat, Maribel Casas, Martine Vrijheid, Damaskini Valvi, Jordi Sunyer and Cristina Gómez. Their work appears in journals such as Analytical Chemistry, Environmental Health Perspectives and Journal of Allergy and Clinical Immunology.
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.