Jun Wei Pek
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 10%
Papers in
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- RNA Research and Splicing 22
- RNA modifications and cancer 10
- Circular RNAs in diseases 6
- CRISPR and Genetic Engineering 4
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 8
- Co-authors
- Toshie Kai (6 shared papers)Amit Anand (1 shared paper)Ai Khim Lim (1 shared paper)Veena S. Patil (1 shared paper)Katsutomo Okamura (1 shared paper)Julia Salzman (1 shared paper)Nikolaus Rajewsky (1 shared paper)Ling‐Ling Chen (1 shared paper)
- Journals
- Current Biology (2 papers)PLoS Genetics (2 papers)Nature Communications (2 papers)Trends in Genetics (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- SingaporeUnited StatesFinland
In The Last Decade
Jun Wei Pek
27 papers receiving 735 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 253
- Aging 26
- Molecular Biology 663
- Plant Science 137
- Immunology 53
Countries citing papers authored by Jun Wei Pek
This map shows the geographic impact of Jun Wei Pek'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 Jun Wei Pek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei Pek more than expected).
Fields of papers citing papers by Jun Wei Pek
This network shows the impact of papers produced by Jun Wei Pek. 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 Jun Wei Pek. The network helps show where Jun Wei Pek may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wei Pek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 105 | |
| 2 | 2009 | 93 | |
| 3 | 2023 | 72 | |
| 4 | 2011 | 66 | |
| 5 | 2010 | 61 | |
| 6 | 2017 | 51 | |
| 7 | 2015 | 44 | |
| 8 | 2012 | 37 | |
| 9 | 2018 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2017 | 23 | |
| 12 | 2018 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2020 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2024 | 6 |
About Jun Wei Pek
Jun Wei Pek is a scholar working on Molecular Biology, Cancer Research, Plant Science, Immunology and Pathology and Forensic Medicine, having authored 29 papers that have together received 742 indexed citations. Recurring topics across this work include RNA Research and Splicing (22 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (6 papers), Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (253 citations), Aging (26 citations), Molecular Biology (663 citations), Plant Science (137 citations) and Immunology (53 citations). Jun Wei Pek has collaborated with scholars based in Singapore, United States and Finland. Frequent co-authors include Toshie Kai, Amit Anand, Ai Khim Lim, Veena S. Patil, Katsutomo Okamura, Julia Salzman, Nikolaus Rajewsky, Ling‐Ling Chen, Myriam Gorospe and Fangqing Zhao. Their work appears in journals such as Current Biology, PLoS Genetics, Nature Communications, Trends in Genetics and Stem Cell Reports.
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.