LJ Lesko
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
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- Pharmacogenetics and Drug Metabolism 6
-
- Pharmaceutical studies and practices 4
- Co-authors
- Atkinson Aj (2 shared papers)Stephan Schmidt (3 shared papers)Malcolm Rowland (1 shared paper)Jeffrey S. Barrett (1 shared paper)Peng Zhao (1 shared paper)Amin Rostami‐Hodjegan (1 shared paper)Janet Woodcock (1 shared paper)D. R. Abernethy (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (5 papers)CPT Pharmacometrics & Systems Pharmacology (4 papers)The Annual Review of Pharmacology and Toxicology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
LJ Lesko
10 papers receiving 997 citations
LJ Lesko's Hit Papers
Peers
Comparison fields: 5 of 157
- Pharmacology 175
- Statistics and Probability 105
- Transplantation 20
- Pediatrics, Perinatology and Child Health 119
- Statistics, Probability and Uncertainty 49
Countries citing papers authored by LJ Lesko
This map shows the geographic impact of LJ Lesko'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 LJ Lesko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LJ Lesko more than expected).
Fields of papers citing papers by LJ Lesko
This network shows the impact of papers produced by LJ Lesko. 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 LJ Lesko. The network helps show where LJ Lesko may publish in the future.
Co-authors
The 22 scholars most cited alongside LJ Lesko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sobol Sensitivity Analysis: A Tool to Guide the Development and Evaluation of Systems Pharmacology Models Hit paper breakdown → | 2015 | 326 |
| 2 | 2001 | 313 | |
| 3 | 2008 | 121 | |
| 4 | 2013 | 84 | |
| 5 | 2015 | 50 | |
| 6 | 2008 | 49 | |
| 7 | 2011 | 41 | |
| 8 | 2016 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2016 | 6 |
About LJ Lesko
LJ Lesko is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, Internal Medicine and Computational Theory and Mathematics, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Pharmaceutical studies and practices (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Statistical Methods in Clinical Trials (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Computational Drug Discovery Methods (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (175 citations), Statistics and Probability (105 citations), Transplantation (20 citations), Pediatrics, Perinatology and Child Health (119 citations) and Statistics, Probability and Uncertainty (49 citations). LJ Lesko has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Atkinson Aj, Stephan Schmidt, Malcolm Rowland, Jeffrey S. Barrett, Peng Zhao, Amin Rostami‐Hodjegan, Janet Woodcock, D. R. Abernethy, JS Leeder and L Zhang. Their work appears in journals such as Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology and The Annual Review of Pharmacology and Toxicology.
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.