Lars Kuepfer
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
Papers in
- Pharmacology 24
- Pharmacogenetics and Drug Metabolism 22
-
- Statistical Methods in Clinical Trials 5
- Co-authors
- Uwe SauerLars M. BlankRobert SchuetzJörg LippertThomas EißingStefan WillmannChristoph NiederaltMichael S. Block
- Journals
- CPT Pharmacometrics & Systems Pharmacology (6 papers)Archives of Toxicology (6 papers)PLoS Computational Biology (4 papers)PLoS ONE (3 papers)npj Systems Biology and Applications (3 papers)
- Partner nations
- GermanySwitzerlandEgypt
In The Last Decade
Lars Kuepfer
54 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Pharmacology 396
- Molecular Biology 1.6k
- Modeling and Simulation 73
- Hepatology 117
- Computational Theory and Mathematics 207
Countries citing papers authored by Lars Kuepfer
This map shows the geographic impact of Lars Kuepfer'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 Lars Kuepfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Kuepfer more than expected).
Fields of papers citing papers by Lars Kuepfer
This network shows the impact of papers produced by Lars Kuepfer. 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 Lars Kuepfer. The network helps show where Lars Kuepfer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lars Kuepfer, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 35 | |
| 8 | 2018 | 29 | |
| 9 | 2017 | 24 | |
| 10 | 2017 | 82 | |
| 11 | 2016 | 21 | |
| 12 | 2016 | 37 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 44 | |
| 15 | 2015 | 5 | |
| 16 | 2014 | 3 | |
| 17 | 2014 | 53 | |
| 18 | 2014 | 74 | |
| 19 | 2012 | 87 | |
| 20 | 2012 | 78 |
About Lars Kuepfer
Lars Kuepfer is a scholar working on Pharmacology, Statistics and Probability, Computational Theory and Mathematics, Modeling and Simulation and Molecular Biology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (22 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Computational Drug Discovery Methods (9 papers), Drug Transport and Resistance Mechanisms (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Gene Regulatory Network Analysis (8 papers), Bioinformatics and Genomic Networks (6 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Pharmacology (396 citations), Molecular Biology (1.6k citations), Modeling and Simulation (73 citations), Hepatology (117 citations) and Computational Theory and Mathematics (207 citations). Lars Kuepfer has collaborated with scholars based in Germany, Switzerland and Egypt. Frequent co-authors include Uwe Sauer, Lars M. Blank, Robert Schuetz, Jörg Lippert, Thomas Eißing, Stefan Willmann, Christoph Niederalt, Michael S. Block, Markus Krauß and Matthias Peter. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Archives of Toxicology, PLoS Computational Biology, PLoS ONE and npj Systems Biology and Applications.
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.