Oscar Della Pasqua

3.9k total citations
159 papers, 2.7k citations indexed

About

Oscar Della Pasqua is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology and Pharmacology. According to data from OpenAlex, Oscar Della Pasqua has authored 159 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pediatrics, Perinatology and Child Health, 40 papers in Pharmacology and 29 papers in Pharmacology. Recurrent topics in Oscar Della Pasqua's work include Pharmacogenetics and Drug Metabolism (26 papers), Pharmaceutical studies and practices (25 papers) and Antibiotics Pharmacokinetics and Efficacy (25 papers). Oscar Della Pasqua is often cited by papers focused on Pharmacogenetics and Drug Metabolism (26 papers), Pharmaceutical studies and practices (25 papers) and Antibiotics Pharmacokinetics and Efficacy (25 papers). Oscar Della Pasqua collaborates with scholars based in United Kingdom, Netherlands and United States. Oscar Della Pasqua's co-authors include Meindert Danhof, Francesco Bellanti, Massimo Cella, Dymphy Huntjens, Gijs W.E. Santen, Rob A. Voskuyl, Elizabeth C. M. de Lange, Catherijne A. J. Knibbe, Bart A. Ploeger and Joost de Jongh and has published in prestigious journals such as Neurology, Nature Reviews Drug Discovery and Scientific Reports.

In The Last Decade

Oscar Della Pasqua

154 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oscar Della Pasqua United Kingdom 25 602 597 504 356 319 159 2.7k
Johannes H. Proost Netherlands 35 375 0.6× 620 1.0× 466 0.9× 209 0.6× 123 0.4× 144 3.6k
Iñaki F. Trocóniz Spain 31 263 0.4× 423 0.7× 756 1.5× 298 0.8× 165 0.5× 187 3.6k
Jaap W. Mandema United States 30 269 0.4× 360 0.6× 427 0.8× 250 0.7× 235 0.7× 59 3.5k
J. Robert Powell United States 27 628 1.0× 358 0.6× 233 0.5× 409 1.1× 197 0.6× 77 2.0k
Tsuyoshi Fukuda United States 40 951 1.6× 764 1.3× 799 1.6× 1.1k 3.0× 303 0.9× 162 4.3k
J. G. Coen van Hasselt Netherlands 29 407 0.7× 599 1.0× 509 1.0× 183 0.5× 76 0.2× 115 2.6k
Karim A. Calis United States 36 369 0.6× 547 0.9× 620 1.2× 85 0.2× 538 1.7× 88 4.3k
David Foster Australia 31 525 0.9× 333 0.6× 1.2k 2.4× 438 1.2× 425 1.3× 109 4.0k
Emanuel Raschi Italy 34 247 0.4× 566 0.9× 636 1.3× 331 0.9× 188 0.6× 169 4.1k
Francisco Abad‐Santos Spain 31 421 0.7× 390 0.7× 527 1.0× 845 2.4× 314 1.0× 220 3.3k

Countries citing papers authored by Oscar Della Pasqua

Since Specialization
Citations

This map shows the geographic impact of Oscar Della Pasqua'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 Oscar Della Pasqua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Della Pasqua more than expected).

Fields of papers citing papers by Oscar Della Pasqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar Della Pasqua. 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 Oscar Della Pasqua. The network helps show where Oscar Della Pasqua may publish in the future.

Co-authorship network of co-authors of Oscar Della Pasqua

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Della Pasqua. A scholar is included among the top collaborators of Oscar Della Pasqua 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 Oscar Della Pasqua. Oscar Della Pasqua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rohn, Jennifer, et al.. (2025). Therapeutic innovation in drug repurposing: Challenges and opportunities. Drug Discovery Today. 30(7). 104390–104390. 5 indexed citations
3.
Ramón‐García, Santiago, et al.. (2024). Optimizing β‐lactam‐containing antibiotic combination therapy for the treatment of Buruli ulcer. British Journal of Clinical Pharmacology. 91(1). 179–189. 1 indexed citations
4.
Simeoli, Raffaele, Sebastiano A. G. Lava, Marco Roversi, et al.. (2024). Pharmacokinetic Evaluation of Oral Viscous Budesonide in Paediatric Patients with Eosinophilic Oesophagitis in Repaired Oesophageal Atresia. Pharmaceutics. 16(7). 872–872. 2 indexed citations
8.
Muliaditan, Morris, Donato Teutonico, Fátima Ortega-Muro, Santiago Ferrer, & Oscar Della Pasqua. (2022). Prediction of lung exposure to anti-tubercular drugs using plasma pharmacokinetic data: Implications for dose selection. European Journal of Pharmaceutical Sciences. 173. 106163–106163. 4 indexed citations
9.
Magni, Paolo, et al.. (2020). Ethambutol disposition in humans: Challenges and limitations of whole-body physiologically-based pharmacokinetic modelling in early drug development. European Journal of Pharmaceutical Sciences. 150. 105359–105359. 3 indexed citations
11.
Magni, Paolo, et al.. (2019). Use of prior knowledge and extrapolation in paediatric drug development: A case study with deferasirox. European Journal of Pharmaceutical Sciences. 136. 104931–104931. 6 indexed citations
12.
Kloprogge, Frank, Robert Hammond, Karin Kipper, Stephen H. Gillespie, & Oscar Della Pasqua. (2019). Mimicking in-vivo exposures to drug combinations in-vitro: anti-tuberculosis drugs in lung lesions and the hollow fiber model of infection. Scientific Reports. 9(1). 13228–13228. 17 indexed citations
13.
Horrigan, Joseph P., et al.. (2017). Population pharmacokinetics of NNZ-2566 in healthy subjects. European Journal of Pharmaceutical Sciences. 109. S98–S107. 13 indexed citations
14.
Antunes, Natalícia de Jesus, Vera Lúcia Lanchote, Lauro Wichert‐Ana, et al.. (2017). Population pharmacokinetics of oxcarbazepine and its metabolite 10-hydroxycarbazepine in healthy subjects. European Journal of Pharmaceutical Sciences. 109. S116–S123. 13 indexed citations
15.
Teutonico, Donato, Flora T. Musuamba, Hugo Maas, et al.. (2015). Generating Virtual Patients by Multivariate and Discrete Re-Sampling Techniques. Pharmaceutical Research. 32(10). 3228–3237. 31 indexed citations
16.
Danhof, Meindert, et al.. (2015). The impact of composite AUC estimates on the prediction of systemic exposure in toxicology experiments. Journal of Pharmacokinetics and Pharmacodynamics. 42(3). 251–261. 6 indexed citations
17.
Cella, Massimo, Catherijne A. J. Knibbe, Saskia N. de Wildt, et al.. (2012). Scaling of pharmacokinetics across paediatric populations: the lack of interpolative power of allometric models. British Journal of Clinical Pharmacology. 74(3). 525–535. 18 indexed citations
18.
Surh, Linda, Sabine Fürst‐Recktenwald, Achille Iolascon, et al.. (2011). Integration of Pharmacogenetics and Pharmacogenomics in Drug Development: Implications for Regulatory and Medical Decision Making in Pediatric Diseases. The Journal of Clinical Pharmacology. 52(5). 704–716. 13 indexed citations
19.
Nugroho, Akhmad Kharis, Stefan Romeijn, Raphaël Zwier, et al.. (2006). Pharmacokinetics and Pharmacodynamics Analysis of Transdermal Iontophoresis of 5-OH-DPAT in Rats: In vitro–in vivo Correlation. Journal of Pharmaceutical Sciences. 95(7). 1570–1585. 14 indexed citations
20.
Vis, Peter, Oscar Della Pasqua, Menno R. Kruk, et al.. (2001). Population pharmacokinetic–pharmacodynamic modelling of S 15535, a 5-HT1A receptor agonist, using a behavioural model in rats. European Journal of Pharmacology. 414(2-3). 233–243. 8 indexed citations

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.

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