Mei Dang
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Protein Structure and Dynamics
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- Amyotrophic Lateral Sclerosis Research
Papers in
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- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 6
- RNA Interference and Gene Delivery 4
- RNA modifications and cancer 3
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Jianxing Song (13 shared papers)Liangzhong Lim (5 shared papers)Prue Talbot (1 shared paper)Bárbara Davis (1 shared paper)Jeffrey J. Kim (1 shared paper)Jian Kang (3 shared papers)Yifan Li (2 shared papers)Amrita Roy (2 shared papers)
In The Last Decade
Mei Dang
28 papers receiving 450 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 276
- Neurology 55
- Physiology 93
- Health, Toxicology and Mutagenesis 34
- Genetics 25
Countries citing papers authored by Mei Dang
This map shows the geographic impact of Mei Dang'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 Mei Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Dang more than expected).
Fields of papers citing papers by Mei Dang
This network shows the impact of papers produced by Mei Dang. 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 Mei Dang. The network helps show where Mei Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Dang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 102 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 39 | |
| 4 | 2019 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2021 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 1985 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2020 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Mei Dang
Mei Dang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology, Ecology and Cell Biology, having authored 32 papers that have together received 454 indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Bacteriophages and microbial interactions (4 papers), RNA Interference and Gene Delivery (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (276 citations), Neurology (55 citations), Physiology (93 citations), Health, Toxicology and Mutagenesis (34 citations) and Genetics (25 citations). Mei Dang has collaborated with scholars based in Singapore, China and Canada. Frequent co-authors include Jianxing Song, Liangzhong Lim, Prue Talbot, Bárbara Davis, Jeffrey J. Kim, Jian Kang, Yifan Li, Amrita Roy, Murtala Bindawa Isah and Xiaoying Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Communications Biology, Journal of Hazardous Materials, ACS Omega and Poultry Science.
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.