Mark Woon
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Genetics top 5%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 8
- Genomics and Rare Diseases 8
- Genetic Associations and Epidemiology 2
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Teri E. Klein (10 shared papers)Michelle Whirl‐Carrillo (8 shared papers)Ryan M. Whaley (6 shared papers)Russ Biagio Altman (7 shared papers)Katrin Sangkuhl (5 shared papers)Marylyn DeRiggi Ritchie (4 shared papers)Tina Hernandez‐Boussard (2 shared papers)Li Gong (2 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (2 papers)Human Mutation (2 papers)Archives of Virology (1 paper)OMICS A Journal of Integrative Biology (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesSingaporeSouth Korea
In The Last Decade
Mark Woon
14 papers receiving 906 citations
Mark Woon's Hit Papers
Peers
Comparison fields: 5 of 98
- Pharmacology 182
- Genetics 432
- Cancer Research 139
- Molecular Biology 374
- Statistics and Probability 35
Countries citing papers authored by Mark Woon
This map shows the geographic impact of Mark Woon'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 Mark Woon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Woon more than expected).
Fields of papers citing papers by Mark Woon
This network shows the impact of papers produced by Mark Woon. 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 Mark Woon. The network helps show where Mark Woon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Woon, 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 | Clinical assessment incorporating a personal genome Hit paper breakdown → | 2010 | 555 |
| 2 | 2011 | 115 | |
| 3 | 2007 | 99 | |
| 4 | 2019 | 78 | |
| 5 | 2002 | 38 | |
| 6 | 2023 | 22 | |
| 7 | 2009 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2006 | 7 | |
| 11 | 2007 | 6 | |
| 12 | A resource to acquire and summarize pharmacogenetics knowledge in the literature. | 2004 | 4 |
| 13 | 2004 | 1 | |
| 14 | 2023 | 1 |
About Mark Woon
Mark Woon is a scholar working on Genetics, Pharmacology, Molecular Biology, Statistics and Probability and Hematology, having authored 14 papers that have together received 959 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Genomics and Rare Diseases (8 papers), Bioinformatics and Genomic Networks (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Associations and Epidemiology (2 papers), Statistical Methods in Clinical Trials (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Pharmacology (182 citations), Genetics (432 citations), Cancer Research (139 citations), Molecular Biology (374 citations) and Statistics and Probability (35 citations). Mark Woon has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Teri E. Klein, Michelle Whirl‐Carrillo, Ryan M. Whaley, Russ Biagio Altman, Katrin Sangkuhl, Marylyn DeRiggi Ritchie, Tina Hernandez‐Boussard, Li Gong, Anurag Verma and Adam Lavertu. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Human Mutation, Archives of Virology, OMICS A Journal of Integrative Biology and The American Journal of Human 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.