Karsten Drescher
Impact in
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- Environmental Toxicology and Ecotoxicology
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 4
- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 2
- Co-authors
- Sander Greenland (1 shared paper)Wolfgang Boedeker (2 shared papers)Knut J. Heller (1 shared paper)Heiko Becher (2 shared papers)Sonja Lick (1 shared paper)Karl‐Heinz Jöckel (2 shared papers)J. Timm (3 shared papers)Walter Schill (3 shared papers)
In The Last Decade
Karsten Drescher
15 papers receiving 945 citations
Peers
Comparison fields: 5 of 144
- Health, Toxicology and Mutagenesis 179
- Statistics and Probability 104
- Pollution 125
- Health 60
- Food Science 93
Countries citing papers authored by Karsten Drescher
This map shows the geographic impact of Karsten Drescher'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 Karsten Drescher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Drescher more than expected).
Fields of papers citing papers by Karsten Drescher
This network shows the impact of papers produced by Karsten Drescher. 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 Karsten Drescher. The network helps show where Karsten Drescher may publish in the future.
Co-authors
The 25 scholars most cited alongside Karsten Drescher, 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 | 1993 | 463 | |
| 2 | 1995 | 151 | |
| 3 | 1999 | 75 | |
| 4 | 2001 | 64 | |
| 5 | 1993 | 59 | |
| 6 | 1993 | 45 | |
| 7 | 1997 | 37 | |
| 8 | 1982 | 30 | |
| 9 | 1999 | 19 | |
| 10 | 1990 | 15 | |
| 11 | 1991 | 14 | |
| 12 | 1982 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 1980 | 3 | |
| 15 | 2014 | 3 |
About Karsten Drescher
Karsten Drescher is a scholar working on Statistics and Probability, Molecular Biology, Food Science, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 15 papers that have together received 985 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Causal Inference Techniques (3 papers), Pesticide Residue Analysis and Safety (2 papers), Statistical Methods in Clinical Trials (2 papers), Circadian rhythm and melatonin (2 papers), thermodynamics and calorimetric analyses (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (179 citations), Statistics and Probability (104 citations), Pollution (125 citations), Health (60 citations) and Food Science (93 citations). Karsten Drescher has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Sander Greenland, Wolfgang Boedeker, Knut J. Heller, Heiko Becher, Sonja Lick, Karl‐Heinz Jöckel, J. Timm, Walter Schill, Ludger Rensing and L. Horst Grimme. Their work appears in journals such as Biometrics, The Science of The Total Environment, Regulatory Peptides, Biosystems and Journal of Theoretical Biology.
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.