Rosalía Pascual
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Cellular and Molecular Neuroscience
- Pharmacology
- Co-authors
- Carmen AlmansaJordi TeixidóJosé I. BorrellJosé Miguel VelaAdriana PortObdulia RabalCarlos R. Plata‐SalámanVioleta I. Pérez‐Nueno
- Topics
- Pharmacological Receptor Mechanisms and Effects (11 papers)Computational Drug Discovery Methods (8 papers)Phenothiazines and Benzothiazines Synthesis and Activities (7 papers)
- Journals
- Journal of Medicinal ChemistryEuropean Journal of Medicinal ChemistryFrontiers in Pharmacology
- Partner nations
- SpainNorwayUnited Kingdom
In The Last Decade
Rosalía Pascual
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 269
- Organic Chemistry 155
- Computational Theory and Mathematics 102
- Cellular and Molecular Neuroscience 80
- Pharmacology 40
Countries citing papers authored by Rosalía Pascual
This map shows the geographic impact of Rosalía Pascual'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 Rosalía Pascual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosalía Pascual more than expected).
Fields of papers citing papers by Rosalía Pascual
This network shows the impact of papers produced by Rosalía Pascual. 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 Rosalía Pascual. The network helps show where Rosalía Pascual may publish in the future.
Co-authorship network of co-authors of Rosalía Pascual
This figure shows the co-authorship network connecting the top 25 collaborators of Rosalía Pascual. A scholar is included among the top collaborators of Rosalía Pascual 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 Rosalía Pascual. Rosalía Pascual is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 38 | |
| 3 | 29 | |
| 4 | 17 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 34 | |
| 8 | 21 | |
| 9 | 34 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | 55 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 17 | |
| 17 | 21 | |
| 18 | 14 | |
| 19 | 9 | |
| 20 | 10 |
About Rosalía Pascual
Rosalía Pascual is a scholar working on Structural Biology, Computational Theory and Mathematics and Virology, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (11 papers), Computational Drug Discovery Methods (8 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (7 papers). The work is most often cited by research in Computational Theory and Mathematics (102 citations), Organic Chemistry (155 citations) and Cellular and Molecular Neuroscience (80 citations). Rosalía Pascual has collaborated with scholars based in Spain, Norway and United Kingdom. Frequent co-authors include Carmen Almansa, Jordi Teixidó, José I. Borrell, José Miguel Vela, Adriana Port, Obdulia Rabal, Carlos R. Plata‐Saláman, Violeta I. Pérez‐Nueno, David W. Ritchie and Clara Ràfols. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Frontiers in Pharmacology.
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.