Mathieu Wiepert
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
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- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Genomics and Phylogenetic Studies 2
- Biochemical and Molecular Research 1
- Biomedical Text Mining and Ontologies 1
- Genetics 3
- Genomics and Rare Diseases 3
- Co-authors
- Richard M. Weinshilboum (1 shared paper)Oreste E. Salavaggione (1 shared paper)Liewei Wang (1 shared paper)Vivien C. Yee (1 shared paper)Eric D. Wieben (1 shared paper)Robert R. Freimuth (1 shared paper)Christopher G. Chute (1 shared paper)Steven N. Hart (3 shared papers)
- Journals
- The Pharmacogenomics Journal (1 paper)Pharmacogenomics (1 paper)Journal of Personalized Medicine (1 paper)Pharmacogenetics and Genomics (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Mathieu Wiepert
6 papers receiving 359 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 57
- Genetics 102
- Public Health, Environmental and Occupational Health 79
- Transplantation 7
- Molecular Biology 167
Countries citing papers authored by Mathieu Wiepert
This map shows the geographic impact of Mathieu Wiepert'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 Mathieu Wiepert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Wiepert more than expected).
Fields of papers citing papers by Mathieu Wiepert
This network shows the impact of papers produced by Mathieu Wiepert. 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 Mathieu Wiepert. The network helps show where Mathieu Wiepert may publish in the future.
Co-authors
The 24 scholars most cited alongside Mathieu Wiepert, 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 | 2019 | 134 | |
| 2 | 2005 | 109 | |
| 3 | 2003 | 73 | |
| 4 | 2019 | 35 | |
| 5 | 2017 | 8 | |
| 6 | 2002 | 3 |
About Mathieu Wiepert
Mathieu Wiepert is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 362 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Genomics and Phylogenetic Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic factors in colorectal cancer (1 paper), Biochemical and Molecular Research (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Pharmacology (57 citations), Genetics (102 citations), Public Health, Environmental and Occupational Health (79 citations), Transplantation (7 citations) and Molecular Biology (167 citations). Mathieu Wiepert has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard M. Weinshilboum, Oreste E. Salavaggione, Liewei Wang, Vivien C. Yee, Eric D. Wieben, Robert R. Freimuth, Richard M. Weinshilboum, Christopher G. Chute, Steven N. Hart and Matthew A. Bockol. Their work appears in journals such as The Pharmacogenomics Journal, Pharmacogenomics, Journal of Personalized Medicine, Pharmacogenetics and Genomics and Frontiers in Genetics.
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.