Jaap W. Mandema

4.6k total citations · 1 hit paper
59 papers, 3.5k citations indexed

About

Jaap W. Mandema is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine and Molecular Biology. According to data from OpenAlex, Jaap W. Mandema has authored 59 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Anesthesiology and Pain Medicine and 10 papers in Molecular Biology. Recurrent topics in Jaap W. Mandema's work include Neuroscience and Neuropharmacology Research (13 papers), Anesthesia and Sedative Agents (9 papers) and Receptor Mechanisms and Signaling (7 papers). Jaap W. Mandema is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Anesthesia and Sedative Agents (9 papers) and Receptor Mechanisms and Signaling (7 papers). Jaap W. Mandema collaborates with scholars based in United States, Netherlands and United Kingdom. Jaap W. Mandema's co-authors include Meindert Danhof, Lewis B. Sheiner, Davide Verotta, Steven L. Shafer, Thomas W. Schnider, Charles F. Minto, David Hermann, Keith T. Muir, Elizabeth Youngs and V. Billard and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Jaap W. Mandema

59 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Influence of Age and Gender on the Pharmacokinetics and Pharmacodynamics of Remifentanil

1997 910 citations Charles F. Minto, Thomas W. Schnider et al. Anesthesiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaap W. Mandema United States	30	1.4k	744	576	441	427	59	3.5k
David Hermann United States	23	1.9k 1.3×	1.1k 1.5×	699 1.2×	122 0.3×	274 0.6×	46	3.6k
Donald R. Stanski United States	45	3.8k 2.7×	1.8k 2.4×	1.1k 1.9×	707 1.6×	661 1.5×	97	6.9k
Keith T. Muir United States	27	3.0k 2.1×	1.6k 2.2×	1.2k 2.0×	161 0.4×	213 0.5×	60	4.5k
David R. Drover United States	32	1.3k 0.9×	933 1.3×	444 0.8×	123 0.3×	140 0.3×	97	3.0k
D. R. Stanski United States	18	979 0.7×	568 0.8×	212 0.4×	155 0.4×	130 0.3×	58	1.8k
I. D. Cockshott United Kingdom	22	1.4k 1.0×	552 0.7×	611 1.1×	120 0.3×	185 0.4×	36	2.2k
Samuel Vožeh Switzerland	18	473 0.3×	294 0.4×	121 0.2×	122 0.3×	291 0.7×	28	1.8k
Thomas K. Henthorn United States	28	701 0.5×	509 0.7×	196 0.3×	143 0.3×	168 0.4×	86	2.0k
Charles F. Minto Australia	20	3.6k 2.5×	1.7k 2.3×	1.6k 2.8×	149 0.3×	131 0.3×	41	4.4k
Jay Ham United States	8	492 0.3×	243 0.3×	145 0.3×	191 0.4×	256 0.6×	12	1.3k

Countries citing papers authored by Jaap W. Mandema

Since Specialization

Citations

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

Fields of papers citing papers by Jaap W. Mandema

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap W. Mandema. 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 Jaap W. Mandema. The network helps show where Jaap W. Mandema may publish in the future.

Co-authorship network of co-authors of Jaap W. Mandema

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

All Works

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20 of 20 papers shown

Mandema, Jaap W., Hugh Montgomery, Louis Dron, et al.. (2023). Totality of evidence of the effectiveness of repurposed therapies for COVID‐19: Can we use real‐world studies alongside randomized controlled trials?. Clinical and Translational Science. 16(10). 1842–1855. 1 indexed citations

Raber, Susan, Jaap W. Mandema, Hanbin Li, & Dana J. Nickens. (2015). A Model-Based Dose–Response Meta-Analysis of Ocular Hypotensive Agents as a Drug Development Tool to Evaluate New Therapies in Glaucoma. Journal of Ocular Pharmacology and Therapeutics. 31(4). 189–197. 4 indexed citations

Milligan, Peter A., B Marchant, Steven W. Martin, et al.. (2013). Model-Based Drug Development: A Rational Approach to Efficiently Accelerate Drug Development. Clinical Pharmacology & Therapeutics. 93(6). 502–514. 174 indexed citations

Mandema, Jaap W., et al.. (2011). A Dose–Response Meta-Analysis for Quantifying Relative Efficacy of Biologics in Rheumatoid Arthritis. Clinical Pharmacology & Therapeutics. 90(6). 828–835. 61 indexed citations

Daddona, Peter E., James A. Matriano, Jaap W. Mandema, & Yuh‐Fun Maa. (2010). Parathyroid Hormone (1-34)-Coated Microneedle Patch System: Clinical Pharmacokinetics and Pharmacodynamics for Treatment of Osteoporosis. Pharmaceutical Research. 28(1). 159–165. 179 indexed citations

Nickens, Dana J., Jaap W. Mandema, Ronan Courtney, Susan Raber, & Charles Bosworth. (2009). A Model-Based Dose-Response Meta-Analysis of Single Agent Intraocular Pressure (IOP) Therapies Used to Evaluate Efficacy of a Potential New Therapy (PF-03187207) in Glaucoma Patients. Investigative Ophthalmology & Visual Science. 50(13). 2479–2479. 1 indexed citations

Mandema, Jaap W., David Hermann, Wen‐Ping Wang, et al.. (2005). Model-based development of gemcabene, a new lipid-altering agent. The AAPS Journal. 7(3). E513–E522. 53 indexed citations

Eriksson, Ulf G., Jaap W. Mandema, Mats O. Karlsson, et al.. (2003). Pharmacokinetics of Melagatran and the Effect on Ex Vivo Coagulation Time in Orthopaedic Surgery Patients Receiving Subcutaneous Melagatran and Oral Ximelagatran. Clinical Pharmacokinetics. 42(7). 687–701. 35 indexed citations

Tang, Jing, et al.. (2000). Quantification of Pharmacodynamic Interactions between Dexmedetomidine and Midazolam in the Rat. Journal of Pharmacology and Experimental Therapeutics. 294(1). 347–355. 53 indexed citations

10.

Tuk, Bert, et al.. (1999). Characterization of the Pharmacodynamic Interaction between Parent Drug and Active Metabolite In Vivo: Midazolam and α-OH-Midazolam. Journal of Pharmacology and Experimental Therapeutics. 289(2). 1067–1074. 30 indexed citations

11.

Tuk, Bert, Virginie M.M. Herben, Jaap W. Mandema, & Meindert Danhof. (1998). Relevance of Arteriovenous Concentration Differences in Pharmacokinetic-Pharmacodynamic Modeling of Midazolam. Journal of Pharmacology and Experimental Therapeutics. 284(1). 202–207. 29 indexed citations

12.

Minto, Charles F., Thomas W. Schnider, Talmage D. Egan, et al.. (1997). Influence of Age and Gender on the Pharmacokinetics and Pharmacodynamics of Remifentanil. Anesthesiology. 86(1). 10–23. 910 indexed citations breakdown →

13.

Danhof, Meindert, et al.. (1997). Determination of Dexmedetomidine in Rat Plasma by a Sensitive [3H]Clonidine Radioreceptor Assay. Journal of Pharmaceutical Sciences. 86(7). 822–826. 7 indexed citations

14.

Tuk, Bert, Meindert Danhof, & Jaap W. Mandema. (1997). The Impact of Arteriovenous Concentration Differences on Pharmacodynamic Parameter Estimates. Journal of Pharmacokinetics and Biopharmaceutics. 25(1). 39–62. 20 indexed citations

15.

Bowersox, S. Scott, Jaap W. Mandema, Kristina Tarczy‐Hornoch, George P. Miljanich, & R R Luther. (1997). Pharmacokinetics of SNX-111, a selective N-type calcium channel blocker, in rats and cynomolgus monkeys.. PubMed. 25(3). 379–83. 23 indexed citations

16.

Ebling, William F., et al.. (1996). High-performance liquid chromatographic assay of propofol in human and rat plasma and fourteen rat tissues using electrochemical detection. Journal of Chromatography B Biomedical Sciences and Applications. 678(2). 279–288. 26 indexed citations

17.

Schnider, Thomas W., et al.. (1996). Population Pharmacodynamic Modeling and Covariate Detection for Central Neural Blockade. Anesthesiology. 85(3). 502–512.. 44 indexed citations

18.

Aarons, Leon, Jaap W. Mandema, & Meindert Danhof. (1991). A population analysis of the pharmacokinetics and pharmacodynamics of midazolam in the rat. Journal of Pharmacokinetics and Biopharmaceutics. 19(5). 485–496. 30 indexed citations

19.

Mandema, Jaap W., et al.. (1991). Pharmacokinetic-pharmacodynamic modeling of the electroencephalographic effects of benzodiazepines. Correlation with receptor binding and anticonvulsant activity.. Journal of Pharmacology and Experimental Therapeutics. 257(1). 472–478. 94 indexed citations

20.

Mandema, Jaap W., et al.. (1991). Pharmacokinetic‐pharmacodynamic modelling of the EEG effects of midazolam in individual rats: influence of rate and route of administration. British Journal of Pharmacology. 102(3). 663–668. 75 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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