Mark Woon
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Biomedical Text Mining and Ontologies 7
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 7
- Genomics and Rare Diseases 7
- Genetic Associations and Epidemiology 1
- Co-authors
- Teri E. Klein (10 shared papers)Michelle Whirl‐Carrillo (8 shared papers)Russ B. Altman (7 shared papers)Ryan Whaley (6 shared papers)Katrin Sangkuhl (5 shared papers)Marylyn D. Ritchie (4 shared papers)Tina Hernandez‐Boussard (2 shared papers)Li Gong (2 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (2 papers)Human Mutation (1 paper)The American Journal of Human Genetics (1 paper)Archives of Virology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Mark Woon
10 papers receiving 233 citations
Peers
Comparison fields: 5 of 56
- Pharmacology 104
- Endocrinology 16
- Computational Theory and Mathematics 47
- Genetics 71
- Biological Psychiatry 5
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 | 2007 | 90 | |
| 2 | 2019 | 68 | |
| 3 | 2002 | 32 | |
| 4 | 2023 | 17 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 7 | |
| 7 | 2006 | 6 | |
| 8 | 2007 | 4 | |
| 9 | A resource to acquire and summarize pharmacogenetics knowledge in the literature. | 2004 | 4 |
| 10 | 2004 | 1 | |
| 11 | 2023 | 0 |
About Mark Woon
Mark Woon is a scholar working on Molecular Biology, Genetics, Pharmacology, Pharmacology and Pathology and Forensic Medicine, having authored 11 papers that have together received 241 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Genomics and Rare Diseases (7 papers), Pharmacogenetics and Drug Metabolism (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Genetic Associations and Epidemiology (1 paper), Natural Language Processing Techniques (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Pharmacology (104 citations), Endocrinology (16 citations), Computational Theory and Mathematics (47 citations), Genetics (71 citations) and Biological Psychiatry (5 citations). Mark Woon has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Teri E. Klein, Michelle Whirl‐Carrillo, Russ B. Altman, Ryan Whaley, Katrin Sangkuhl, Marylyn D. Ritchie, Tina Hernandez‐Boussard, Li Gong, Anurag Verma and Adam Lavertu. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Human Mutation, The American Journal of Human Genetics, Archives of Virology and Nucleic Acids Research.
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.