Ronald de Vries

1.9k total citations
36 papers, 1.5k citations indexed

About

Ronald de Vries is a scholar working on Immunology, Pharmacology and Molecular Biology. According to data from OpenAlex, Ronald de Vries has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Pharmacology and 8 papers in Molecular Biology. Recurrent topics in Ronald de Vries's work include Biosimilars and Bioanalytical Methods (10 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Ronald de Vries is often cited by papers focused on Biosimilars and Bioanalytical Methods (10 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Ronald de Vries collaborates with scholars based in Belgium, United States and United Kingdom. Ronald de Vries's co-authors include Philip Timmerman, Jan de Jong, Steve White, Zoe Cobb, Peter Hellemans, Johan W. Smit, Tom Verhaeghe, Kazuo Mihara, Tsuyoshi Kondo and Sunao Kaneko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Oncology.

In The Last Decade

Ronald de Vries

35 papers receiving 1.4k citations

Peers

Ronald de Vries
Roberto Mazzanti Italy
Yves Horsmans Belgium
Vijay Upreti United States
Leslie J. Dickmann United States
R T Dorr United States
Kimberly L. Napoli United States
Jarle Aarbakke Norway
Bernard P. Murray United States
Alain Deroussent France
Takenori Takahata Japan
Roberto Mazzanti Italy
Ronald de Vries
Citations per year, relative to Ronald de Vries Ronald de Vries (= 1×) peers Roberto Mazzanti

Countries citing papers authored by Ronald de Vries

Since Specialization
Citations

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

Fields of papers citing papers by Ronald de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald de Vries. 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 Ronald de Vries. The network helps show where Ronald de Vries may publish in the future.

Co-authorship network of co-authors of Ronald de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald de Vries. A scholar is included among the top collaborators of Ronald de Vries 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 Ronald de Vries. Ronald de Vries 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.
Vries, Ronald de, et al.. (2025). Effective polarization in potassium channel simulations: Ion conductance, occupancy, voltage response, and selectivity. Proceedings of the National Academy of Sciences. 122(21). e2423866122–e2423866122. 5 indexed citations
2.
Öster, Carl, Ronald de Vries, Juan Li, et al.. (2025). Atomistic Mechanism of Calcium-Mediated Inward Rectification of the MthK Potassium Channel by Solid-State NMR and MD Simulations. Journal of the American Chemical Society. 147(49). 45536–45548.
3.
Vries, Ronald de, et al.. (2017). An atmospheric pressure ionization source using a high voltage target compared to electrospray ionization for the LC/MS analysis of pharmaceutical compounds. Journal of Pharmaceutical and Biomedical Analysis. 142. 225–231. 17 indexed citations
4.
Guillaume, Michel, Herman Borghys, L.L. de Zwart, et al.. (2016). Lipophilic nalmefene prodrugs to achieve a one-month sustained release. Journal of Controlled Release. 232. 196–202. 13 indexed citations
5.
Jong, Jan de, Donna Skee, Peter Hellemans, et al.. (2016). Single-dose pharmacokinetics of ibrutinib in subjects with varying degrees of hepatic impairment*. Leukemia & lymphoma. 58(1). 185–194. 17 indexed citations
6.
Pusecker, Klaus, et al.. (2015). Determination of tapentadol and tapentadol-O-glucuronide in human serum samples by UPLC–MS/MS. Journal of Chromatography B. 981-982. 40–47. 15 indexed citations
7.
Vries, Ronald de, Jan de Jong, Juthamas Sukbuntherng, et al.. (2015). Bioanalysis of Ibrutinib and its Active Metabolite in Human Plasma: Selectivity Issue, Impact Assessment and Resolution. Bioanalysis. 7(20). 2713–2724. 32 indexed citations
8.
9.
Hilhorst, Martijn, et al.. (2014). A high-performance liquid chromatography–tandem mass spectrometry method for the determination of artemether and dihydroartemisinin in human plasma. Journal of Chromatography B. 965. 45–53. 13 indexed citations
10.
11.
Merbel, Nico van de, Natasha Savoie, Yoshiaki Ohtsu, et al.. (2014). Stability: Recommendation for Best Practices and Harmonization from the Global Bioanalysis Consortium Harmonization Team. The AAPS Journal. 16(3). 392–399. 52 indexed citations
12.
Merbel, Nico C. van de & Ronald de Vries. (2013). Aging of Biological Matrices and its Effect on Bioanalytical Method Performance. Bioanalysis. 5(19). 2393–2407. 8 indexed citations
13.
Leclercq, Laurent, Filip Cuyckens, Geert Mannens, et al.. (2009). Which Human Metabolites Have We MIST? Retrospective Analysis, Practical Aspects, and Perspectives For Metabolite Identification and Quantification in Pharmaceutical Development. Chemical Research in Toxicology. 22(2). 280–293. 94 indexed citations
14.
Yasui‐Furukori, Norio, Kazuo Mihara, Takenori Takahata, et al.. (2004). Effects of various factors on steady‐state plasma concentrations of risperidone and 9‐hydroxyrisperidone: lack of impact of MDR‐1 genotypes. British Journal of Clinical Pharmacology. 57(5). 569–575. 49 indexed citations
15.
Verhaeghe, Tom, et al.. (2003). Development and validation of a liquid chromatographic–tandem mass spectrometric method for the determination of galantamine in human heparinised plasma. Journal of Chromatography B. 789(2). 337–346. 36 indexed citations
16.
Ono, Shingo, Kazuo Mihara, Akihito Suzuki, et al.. (2002). Significant pharmacokinetic interaction between risperidone and carbamazepine: its relationship with CYP2D6 genotypes. Psychopharmacology. 162(1). 50–54. 48 indexed citations
17.
Kondo, Tsuyoshi, Kazuo Mihara, Akihito Suzuki, et al.. (2002). Lack of Correlation between the Steady-State Plasma Concentrations of Haloperidol and Risperidone. The Journal of Clinical Pharmacology. 42(10). 1083–1088. 5 indexed citations
18.
Remmerie, Bart, et al.. (2002). Validated method for the determination of risperidone and 9-hydroxyrisperidone in human plasma by liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 783(2). 461–472. 78 indexed citations
19.
Kondo, Tsuyoshi, Kazuo Mihara, Akihito Suzuki, et al.. (2002). Lack of Correlation between the Steady‐State Plasma Concentrations of Haloperidol and Risperidone. The Journal of Clinical Pharmacology. 42(10). 1083–1088. 6 indexed citations
20.
Timmerman, Philip, Ronald de Vries, & Benno Ingelse. (2001). Tailoring Bioanalysis for PK Studies Supporting Drug Discovery. Current Topics in Medicinal Chemistry. 1(5). 443–461. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Roberto Mazzanti Breakdown of academic impact, for papers by Yves Horsmans Breakdown of academic impact, for papers by Vijay Upreti Breakdown of academic impact, for papers by Leslie J. Dickmann Breakdown of academic impact, for papers by R T Dorr Breakdown of academic impact, for papers by Kimberly L. Napoli Breakdown of academic impact, for papers by Jarle Aarbakke Breakdown of academic impact, for papers by Bernard P. Murray Breakdown of academic impact, for papers by Alain Deroussent Breakdown of academic impact, for papers by Takenori Takahata
Rankless by CCL
2026