Mei Zhong
- Molecular Biology top 2%
- Cancer Research top 5%
- Genetics top 5%
- Biomedical Engineering top 5%
- Plant Science top 5%
- Co-authors
- Haifan LinSherman M. WeissmanYoshiaki TanakaIn‐Hyun ParkYangfei XiangToshiaki WatanabeBenjamin PattersonBilal Çakır
- Topics
- Epigenetics and DNA Methylation (17 papers)Pluripotent Stem Cells Research (15 papers)CRISPR and Genetic Engineering (11 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Mei Zhong
87 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 3.3k
- Cancer Research 561
- Genetics 491
- Biomedical Engineering 482
- Plant Science 439
Countries citing papers authored by Mei Zhong
This map shows the geographic impact of Mei Zhong'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 Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Zhong more than expected).
Fields of papers citing papers by Mei Zhong
This network shows the impact of papers produced by Mei Zhong. 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 Zhong. The network helps show where Mei Zhong may publish in the future.
Co-authorship network of co-authors of Mei Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Zhong. A scholar is included among the top collaborators of Mei Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei Zhong. Mei Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 140 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | Degradation characteristics of quinclorac in homogeneous Co(II)/PMS system | 1 |
| 10 | 1 | |
| 11 | 82 | |
| 12 | 7 | |
| 13 | 19 | |
| 14 | 137 | |
| 15 | 191 | |
| 16 | Response of root border cells to drought stress and their effects on physiological characteristics of roots of black soybean seedlings | 1 |
| 17 | 26 | |
| 18 | Effect of 1-Methylcyclopropene on the postharvest physiology and storage quality of Xinjiang ‘Xiaobai’ apricots | 1 |
| 19 | Loss of fragile histidine triad expression in colorectal carcinoma. | 3 |
| 20 | SWOT Analysis and its Application in an Enterprise | 0 |
About Mei Zhong
Mei Zhong is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 89 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Pluripotent Stem Cells Research (15 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Aging (172 citations), Developmental Neuroscience (290 citations) and Molecular Biology (3.3k citations). Mei Zhong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Haifan Lin, Sherman M. Weissman, Yoshiaki Tanaka, In‐Hyun Park, Yangfei Xiang, Toshiaki Watanabe, Benjamin Patterson, Bilal Çakır, Ee-chun Cheng and Duanqing Pei. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.