Wee‐Wei Tee
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Epigenetics and DNA Methylation 8
- Genomics and Chromatin Dynamics 7
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Histone Deacetylase Inhibitors Research 2
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- Telomeres, Telomerase, and Senescence 2
- Co-authors
- Danny Reinberg (3 shared papers)Philipp Voigt (1 shared paper)Petra Hájková (2 shared papers)M. Azim Surani (2 shared papers)Mercedes Pardo (1 shared paper)Thorold W. Theunissen (1 shared paper)Jyoti S. Choudhary (1 shared paper)Yu Lu (1 shared paper)
- Journals
- Genes & Development (2 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)Diabetic Medicine (1 paper)Cell (1 paper)
- Partner nations
- SingaporeUnited KingdomChina
In The Last Decade
Wee‐Wei Tee
20 papers receiving 1.4k citations
Wee‐Wei Tee's Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.2k
- Aging 16
- Cancer Research 92
- Genetics 145
- Developmental Neuroscience 16
Countries citing papers authored by Wee‐Wei Tee
This map shows the geographic impact of Wee‐Wei Tee'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 Wee‐Wei Tee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wee‐Wei Tee more than expected).
Fields of papers citing papers by Wee‐Wei Tee
This network shows the impact of papers produced by Wee‐Wei Tee. 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 Wee‐Wei Tee. The network helps show where Wee‐Wei Tee may publish in the future.
Co-authors
The 25 scholars most cited alongside Wee‐Wei Tee, 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 | A double take on bivalent promoters Hit paper breakdown → | 2013 | 601 |
| 2 | 2010 | 276 | |
| 3 | 2014 | 125 | |
| 4 | 2020 | 75 | |
| 5 | 2014 | 73 | |
| 6 | 2022 | 47 | |
| 7 | 2008 | 46 | |
| 8 | 2017 | 38 | |
| 9 | 2006 | 22 | |
| 10 | 2018 | 17 | |
| 11 | 2006 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2016 | 3 | |
| 20 | 2022 | 1 |
About Wee‐Wei Tee
Wee‐Wei Tee is a scholar working on Molecular Biology, Physiology, Genetics, Plant Science and Cell Biology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (7 papers), Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Telomeres, Telomerase, and Senescence (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (16 citations), Cancer Research (92 citations), Genetics (145 citations) and Developmental Neuroscience (16 citations). Wee‐Wei Tee has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Danny Reinberg, Philipp Voigt, Petra Hájková, M. Azim Surani, Mercedes Pardo, Thorold W. Theunissen, Jyoti S. Choudhary, Yu Lu, Ozgur Oksuz and Steven S. Shen. Their work appears in journals such as Genes & Development, Nature Communications, Molecular Biology of the Cell, Diabetic Medicine and Cell.
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.