William Lee
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- ATP Synthase and ATPases Research
- Pluripotent Stem Cells Research
Papers in
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- Mitochondrial Function and Pathology 9
- Epigenetics and DNA Methylation 8
- Pluripotent Stem Cells Research 3
- RNA modifications and cancer 1
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- Metabolism and Genetic Disorders 4
- Co-authors
- Justin C. St. John (11 shared papers)Jacqueline L. Johnson (5 shared papers)Daniel J. Gough (2 shared papers)Vijesh Vaghjiani (5 shared papers)Terrance G. Johns (2 shared papers)Gaël Cagnone (4 shared papers)Jacqueline F. Donoghue (1 shared paper)Kristy A. Brown (1 shared paper)
- Journals
- Cell Death Discovery (2 papers)Stem Cells and Development (2 papers)Cell Death and Disease (2 papers)Annals of the New York Academy of Sciences (1 paper)Stem Cells (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
William Lee
11 papers receiving 300 citations
Peers
Comparison fields: 5 of 50
- Clinical Biochemistry 55
- Molecular Biology 252
- Cancer Research 44
- Aging 5
- Pediatrics, Perinatology and Child Health 28
Countries citing papers authored by William Lee
This map shows the geographic impact of William Lee'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 William Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lee more than expected).
Fields of papers citing papers by William Lee
This network shows the impact of papers produced by William Lee. 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 William Lee. The network helps show where William Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside William Lee, 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 | 2015 | 98 | |
| 2 | 2013 | 67 | |
| 3 | 2015 | 42 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 29 | |
| 6 | 2015 | 9 | |
| 7 | 2016 | 7 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 2 | |
| 11 | 2017 | 2 |
About William Lee
William Lee is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Surgery and Infectious Diseases, having authored 11 papers that have together received 303 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Epigenetics and DNA Methylation (8 papers), Metabolism and Genetic Disorders (4 papers), Pluripotent Stem Cells Research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genomics and Rare Diseases (1 paper), Genetic Syndromes and Imprinting (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Clinical Biochemistry (55 citations), Molecular Biology (252 citations), Cancer Research (44 citations), Aging (5 citations) and Pediatrics, Perinatology and Child Health (28 citations). William Lee has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Justin C. St. John, Jacqueline L. Johnson, Daniel J. Gough, Vijesh Vaghjiani, Terrance G. Johns, Gaël Cagnone, Jacqueline F. Donoghue, Kristy A. Brown, Matthew McKenzie and Ian A. Trounce. Their work appears in journals such as Cell Death Discovery, Stem Cells and Development, Cell Death and Disease, Annals of the New York Academy of Sciences and Stem Cells.
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.