Meng How Tan
Impact in
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- RNA regulation and disease
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Phytochemicals and Antioxidant Activities 3
- Co-authors
- Jin Billy LiRobert PiskolWei LinGokul RamaswamiCarrie DavisHarley H. McAdamsLucy ShapiroKean Hean Ooi
- Journals
- Nature Biotechnology (4 papers)Frontiers in Plant Science (2 papers)Science (2 papers)ACS Synthetic Biology (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Meng How Tan
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.6k
- Business and International Management 37
- Aging 31
- Cancer Research 179
- Genetics 299
Countries citing papers authored by Meng How Tan
This map shows the geographic impact of Meng How Tan'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 Meng How Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng How Tan more than expected).
Fields of papers citing papers by Meng How Tan
This network shows the impact of papers produced by Meng How Tan. 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 Meng How Tan. The network helps show where Meng How Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng How Tan, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 153 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 79 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 37 | |
| 14 | 2017 | 119 | |
| 15 | 2017 | 35 | |
| 16 | 2016 | 159 | |
| 17 | 2015 | 20 | |
| 18 | 2012 | 298 | |
| 19 | 2012 | 110 | |
| 20 | 2007 | 132 |
About Meng How Tan
Meng How Tan is a scholar working on Applied Microbiology and Biotechnology, Biochemistry, Molecular Biology, Cancer Research and Biotechnology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Pluripotent Stem Cells Research (6 papers), RNA regulation and disease (6 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers), Tea Polyphenols and Effects (5 papers), RNA modifications and cancer (4 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Business and International Management (37 citations), Aging (31 citations), Cancer Research (179 citations) and Genetics (299 citations). Meng How Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Jin Billy Li, Robert Piskol, Wei Lin, Gokul Ramaswami, Carrie Davis, Harley H. McAdams, Lucy Shapiro, Kean Hean Ooi, Kin Fai Au and Wing Hung Wong. Their work appears in journals such as Nature Biotechnology, Frontiers in Plant Science, Science, ACS Synthetic Biology and Journal of Visualized Experiments.
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.