Michael Van Guilder

1.1k total citations · 1 hit paper
15 papers, 869 citations indexed

About

Michael Van Guilder is a scholar working on Pharmacology, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Michael Van Guilder has authored 15 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Statistics and Probability and 4 papers in Infectious Diseases. Recurrent topics in Michael Van Guilder's work include Antibiotics Pharmacokinetics and Efficacy (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods in Clinical Trials (5 papers). Michael Van Guilder is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods in Clinical Trials (5 papers). Michael Van Guilder collaborates with scholars based in United States, France and Spain. Michael Van Guilder's co-authors include Alan Schumitzky, Roger W. Jelliffe, David S. Bayard, Michael Neely, Pascal Maire, Brenda Jones, Emi Minejima, Walter M. Yamada, Xavier Barbaut and Mark H. Milman and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Statistics in Medicine.

In The Last Decade

Michael Van Guilder

15 papers receiving 847 citations

Hit Papers

Prospective Trial on the Use of Trough Concentration vers... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Van Guilder United States 11 481 334 213 149 135 15 869
Stefanie Hennig Australia 19 383 0.8× 232 0.7× 262 1.2× 46 0.3× 295 2.2× 82 1.2k
Toshimi Kimura Japan 17 613 1.3× 731 2.2× 322 1.5× 281 1.9× 128 0.9× 62 1.1k
Steven C. Boike United States 16 307 0.6× 280 0.8× 153 0.7× 128 0.9× 75 0.6× 36 934
Lillian Ting Canada 15 135 0.3× 537 1.6× 273 1.3× 79 0.5× 114 0.8× 26 1.1k
M. Van Guilder United States 8 309 0.6× 106 0.3× 251 1.2× 43 0.3× 97 0.7× 12 571
Romain Guilhaumou France 15 537 1.1× 206 0.6× 297 1.4× 68 0.5× 116 0.9× 64 1.0k
Anne‐Grete Märtson Netherlands 15 293 0.6× 275 0.8× 295 1.4× 53 0.4× 59 0.4× 35 645
F Vauzelle-Kervroëdan France 17 258 0.5× 103 0.3× 399 1.9× 90 0.6× 217 1.6× 38 1.3k
Nathalie Bleyzac France 23 341 0.7× 156 0.5× 337 1.6× 36 0.2× 321 2.4× 94 1.6k
Nieko Punt Netherlands 17 495 1.0× 237 0.7× 393 1.8× 77 0.5× 128 0.9× 44 939

Countries citing papers authored by Michael Van Guilder

Since Specialization
Citations

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

Fields of papers citing papers by Michael Van Guilder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Van Guilder. 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 Michael Van Guilder. The network helps show where Michael Van Guilder may publish in the future.

Co-authorship network of co-authors of Michael Van Guilder

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

All Works

15 of 15 papers shown
1.
Goutelle, Sylvain, Céline Alloux, Laurent Bourguignon, et al.. (2021). To Estimate or to Forecast? Lessons From a Comparative Analysis of Four Bayesian Fitting Methods Based on Nonparametric Models. Therapeutic Drug Monitoring. 43(4). 461–471. 3 indexed citations
2.
Neely, Michael, David S. Bayard, Michael Van Guilder, et al.. (2017). Prospective Trial on the Use of Trough Concentration versus Area under the Curve To Determine Therapeutic Vancomycin Dosing. Antimicrobial Agents and Chemotherapy. 62(2). 268 indexed citations breakdown →
3.
Neely, Michael, Teresa Rushing, Xiaowei Fu, et al.. (2016). Accurately Achieving Target Busulfan Exposure in Children and Adolescents With Very Limited Sampling and the BestDose Software. Therapeutic Drug Monitoring. 38(3). 332–342. 52 indexed citations
4.
Neely, Michael, Ashley Margol, Xiaowei Fu, et al.. (2015). Achieving Target Voriconazole Concentrations More Accurately in Children and Adolescents. Antimicrobial Agents and Chemotherapy. 59(6). 3090–3097. 54 indexed citations
5.
Jelliffe, Roger W., Mark H. Milman, Alan Schumitzky, David S. Bayard, & Michael Van Guilder. (2014). A Two-Compartment Population Pharmacokinetic–Pharmacodynamic Model of Digoxin in Adults, With Implications for Dosage. Therapeutic Drug Monitoring. 36(3). 387–393. 6 indexed citations
6.
Drusano, George L., Michael Neely, Michael Van Guilder, et al.. (2014). Analysis of Combination Drug Therapy to Develop Regimens with Shortened Duration of Treatment for Tuberculosis. PLoS ONE. 9(7). e101311–e101311. 51 indexed citations
7.
Goutelle, Sylvain, et al.. (2009). Population Modeling and Monte Carlo Simulation Study of the Pharmacokinetics and Antituberculosis Pharmacodynamics of Rifampin in Lungs. Antimicrobial Agents and Chemotherapy. 53(7). 2974–2981. 91 indexed citations
8.
Kwa, Andrea Lay‐Hoon, Juraj Šprung, Michael Van Guilder, & Roger W. Jelliffe. (2008). A Population Pharmacokinetic Model of Epidural Lidocaine in Geriatric Patients: Effects of Low-Dose Dopamine. Therapeutic Drug Monitoring. 30(3). 379–389. 2 indexed citations
9.
Port, Ruediger E., Daniela Kiepe, Michael Van Guilder, Roger W. Jelliffe, & Otto Mehls. (2004). Recombinant Human Erythropoietin for the Treatment of Renal Anaemia in Children. Clinical Pharmacokinetics. 43(1). 57–70. 12 indexed citations
10.
Jelliffe, Roger W., Alan Schumitzky, & Michael Van Guilder. (2000). Population Pharmacokinetics/Pharmacodynamics Modeling: Parametric and Nonparametric Methods. Therapeutic Drug Monitoring. 22(3). 354–365. 40 indexed citations
11.
Jelliffe, Roger W., David S. Bayard, Mark H. Milman, Michael Van Guilder, & Alan Schumitzky. (2000). Achieving Target Goals Most Precisely Using Nonparametric Compartmental Models and “Multiple Model” Design of Dosage Regimens. Therapeutic Drug Monitoring. 22(3). 346–353. 47 indexed citations
12.
Jelliffe, Roger W., Alan Schumitzky, David S. Bayard, et al.. (1998). Model-Based, Goal-Oriented, Individualised Drug Therapy. Clinical Pharmacokinetics. 34(1). 57–77. 107 indexed citations
13.
Jelliffe, Roger W., Michael Van Guilder, Robert Leary, et al.. (1998). NONLINEAR PARAMETRIC AND NONPARAMETRIC POPULATION PHARMACOKINETIC MODELING ON A SUPERCOMPUTER. 1 indexed citations
14.
Jelliffe, Roger W., Alan Schumitzky, Michael Van Guilder, et al.. (1993). Individualizing Drug Dosage Regimens. Therapeutic Drug Monitoring. 15(5). 380–393. 113 indexed citations
15.
Azen, Stanley P., Michael Van Guilder, & Mary A. Hill. (1989). Estimation of parameters and missing values under a regression model with non‐normally distributed and non‐randomly incomplete data. Statistics in Medicine. 8(2). 217–228. 22 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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