Jean‐Louis Steimer

2.6k total citations
48 papers, 1.9k citations indexed

About

Jean‐Louis Steimer is a scholar working on Statistics and Probability, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jean‐Louis Steimer has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 10 papers in Oncology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jean‐Louis Steimer's work include Statistical Methods in Clinical Trials (16 papers), Pharmaceutical studies and practices (9 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Jean‐Louis Steimer is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Pharmaceutical studies and practices (9 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Jean‐Louis Steimer collaborates with scholars based in France, Switzerland and United Kingdom. Jean‐Louis Steimer's co-authors include Lewis B. Sheiner, France Mentré, Ronald Gieschke, Alain Mallet, Malcolm Rowland, Jean‐Louis Golmard, Werner Niederberger, Leon Aarons, Samuel Vožeh and Goonaseelan Pillai and has published in prestigious journals such as Journal of Biological Chemistry, Biometrics and The Annual Review of Pharmacology and Toxicology.

In The Last Decade

Jean‐Louis Steimer

48 papers receiving 1.8k citations

Peers

Jean‐Louis Steimer
Ene Ette United States
B. Whiting United Kingdom
Kayode Ogungbenro United Kingdom
Dale P. Conner United States
David Z. D’Argenio United States
Michel Tod France
Ene Ette United States
Jean‐Louis Steimer
Citations per year, relative to Jean‐Louis Steimer Jean‐Louis Steimer (= 1×) peers Ene Ette

Countries citing papers authored by Jean‐Louis Steimer

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Louis Steimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Louis Steimer. 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 Jean‐Louis Steimer. The network helps show where Jean‐Louis Steimer may publish in the future.

Co-authorship network of co-authors of Jean‐Louis Steimer

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Louis Steimer. A scholar is included among the top collaborators of Jean‐Louis Steimer 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 Jean‐Louis Steimer. Jean‐Louis Steimer 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.
Akacha, Mouna, Christian Bartels, Björn Bornkamp, et al.. (2021). Estimands—What they are and why they are important for pharmacometricians. CPT Pharmacometrics & Systems Pharmacology. 10(4). 279–282. 8 indexed citations
2.
Dahl, Svein G., Leon Aarons, Ursula Gundert‐Remy, et al.. (2009). Incorporating Physiological and Biochemical Mechanisms into Pharmacokinetic–Pharmacodynamic Models: A Conceptual Framework*. Basic & Clinical Pharmacology & Toxicology. 106(1). 2–12. 23 indexed citations
3.
Jacqmin, Philippe, Eric Snoeck, E.A. van Schaick, et al.. (2006). Modelling Response Time Profiles in the Absence of Drug Concentrations: Definition and Performance Evaluation of the K–PD Model. Journal of Pharmacokinetics and Pharmacodynamics. 34(1). 57–85. 141 indexed citations
4.
Pillai, Goonaseelan, France Mentré, & Jean‐Louis Steimer. (2005). Non-Linear Mixed Effects Modeling – From Methodology and Software Development to Driving Implementation in Drug Development Science. Journal of Pharmacokinetics and Pharmacodynamics. 32(2). 161–183. 68 indexed citations
5.
Pillai, Goonaseelan, Ronald Gieschke, Timothy Goggin, et al.. (2004). A semimechanistic and mechanistic population PK–PD model for biomarker response to ibandronate, a new bisphosphonate for the treatment of osteoporosis. British Journal of Clinical Pharmacology. 58(6). 618–631. 72 indexed citations
6.
Aarons, Leon, Mats O. Karlsson, Anthony Man, et al.. (2004). Modelling and Simulation in the Development and use of Anti-Cancer Agents: An Underused Tool?. Journal of Pharmacokinetics and Pharmacodynamics. 31(6). 419–440. 13 indexed citations
7.
Blesch, Karen Smith, Ronald Gieschke, Yuko Tsukamoto, et al.. (2003). Clinical Pharmacokinetic/Pharmacodynamic and Physiologically based Pharmacokinetic Modeling in New Drug Development: The Capecitabine Experience. Investigational New Drugs. 21(2). 195–223. 41 indexed citations
8.
Gieschke, Ronald, Bruno Reigner, Karen Smith Blesch, & Jean‐Louis Steimer. (2002). Population Pharmacokinetic Analysis of the Major Metabolites of Capecitabine. Journal of Pharmacokinetics and Pharmacodynamics. 29(1). 25–47. 33 indexed citations
9.
Reigner, Bruno, et al.. (1997). An Evaluation of the Integration of Pharmacokinetic and Pharmacodynamic Principles in Clinical Drug Development. Clinical Pharmacokinetics. 33(2). 142–152. 85 indexed citations
10.
Aarons, Leon, Malcolm Rowland, L. P. Balant, et al.. (1996). Practical experience and issues in designing and performing population pharmacokinetic/pharmacodynamic studies. European Journal of Clinical Pharmacology. 49(4). 251–254. 44 indexed citations
11.
Vožeh, Samuel, Jean‐Louis Steimer, Malcolm Rowland, et al.. (1996). The Use of Population Pharmacokinetics in Drug Development. Clinical Pharmacokinetics. 30(2). 81–93. 96 indexed citations
12.
Kawai, Ryosei, Michel Lemaire, Jean‐Louis Steimer, et al.. (1994). Physiologically based pharmacokinetic study on a cyclosporin derivative, SDZ IMM 125. Journal of Pharmacokinetics and Biopharmaceutics. 22(5). 327–365. 123 indexed citations
13.
Steimer, Jean‐Louis, et al.. (1993). Pharmacokinetic and pharmacodynamic data and models in clinical trials. European Journal of Drug Metabolism and Pharmacokinetics. 18(1). 61–76. 26 indexed citations
14.
Steimer, Jean‐Louis, et al.. (1991). Mathematical model forin vivo pharmacodynamics integrating fluctuation of the response: Application to the prolactin suppressant effect of the dopaminomimetic drug DCN 203–922. Journal of Pharmacokinetics and Biopharmaceutics. 19(3). 287–309. 14 indexed citations
15.
Thomas, G., et al.. (1989). Zero-order absorption and linear disposition of oral colchicine in healthy volunteers. European Journal of Clinical Pharmacology. 37(1). 79–84. 31 indexed citations
16.
Mentré, France, Alain Mallet, & Jean‐Louis Steimer. (1988). Hyperparameter Estimation Using Stochastic Approximation with Application to Population Pharmacokinetics. Biometrics. 44(3). 673–673. 10 indexed citations
17.
Rowland, Malcolm, et al.. (1985). Variability in drug therapy : description, estimation, and control : a Sandoz workshop. Raven Press eBooks. 5 indexed citations
18.
Claire, M., Jean‐Louis Steimer, M. E. Oblin, et al.. (1985). Cytoplasmic and nuclear uptake of aldosterone in toad bladder: a mathematical modeling approach. American Journal of Physiology-Cell Physiology. 248(1). C88–C101. 6 indexed citations
19.
Steimer, Jean‐Louis, et al.. (1984). [Renal clearance technic for individualizing lithium dosage in routine hospital care].. PubMed. 10(5). 223–30. 2 indexed citations
20.
Steimer, Jean‐Louis, et al.. (1979). A non-linear mathematical model for the in vivo determination of Kupffer cells number and rate of phagocytosis of radiocolloids in rats. International Journal of Bio-Medical Computing. 10(4). 331–340. 2 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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