Meiling Zhang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Endocrinology top 2%
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 18
- Co-authors
- Kaihua Lu (12 shared papers)Ming Sun (5 shared papers)Weiqin Wu (2 shared papers)Chengqi Yi (13 shared papers)Wei Li (2 shared papers)Erxun Zhou (8 shared papers)Xiang-hua Liu (1 shared paper)Weiping Xie (1 shared paper)
- Journals
- Viruses (4 papers)Journal of Ethnopharmacology (4 papers)PLoS ONE (4 papers)Cancer Research (3 papers)Frontiers in Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Meiling Zhang
191 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 157
- Cancer Research 1.3k
- Endocrinology 260
- Molecular Biology 3.3k
- Plant Science 596
- Biochemistry 92
Countries citing papers authored by Meiling Zhang
This map shows the geographic impact of Meiling Zhang'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 Meiling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Zhang more than expected).
Fields of papers citing papers by Meiling Zhang
This network shows the impact of papers produced by Meiling Zhang. 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 Meiling Zhang. The network helps show where Meiling Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Zhang, 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 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 372 | |
| 2 | 2013 | 358 | |
| 3 | 2013 | 264 | |
| 4 | 2014 | 131 | |
| 5 | 2019 | 112 | |
| 6 | 2018 | 108 | |
| 7 | 2014 | 107 | |
| 8 | 2014 | 95 | |
| 9 | 2023 | 85 | |
| 10 | 2016 | 79 | |
| 11 | 2015 | 78 | |
| 12 | 2022 | 76 | |
| 13 | 2022 | 73 | |
| 14 | 2019 | 66 | |
| 15 | 2007 | 65 | |
| 16 | 2012 | 63 | |
| 17 | 2021 | 62 | |
| 18 | 2022 | 62 | |
| 19 | 2005 | 60 | |
| 20 | 2014 | 58 |
About Meiling Zhang
Meiling Zhang is a scholar working on Cancer Research, Endocrinology, Molecular Biology, Geometry and Topology and Acoustics and Ultrasonics, having authored 209 papers that have together received 4.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (26 papers), Cancer-related molecular mechanisms research (18 papers), Advanced biosensing and bioanalysis techniques (14 papers), Reproductive Biology and Fertility (11 papers), Nonlinear Waves and Solitons (11 papers), Advanced Differential Equations and Dynamical Systems (10 papers), CRISPR and Genetic Engineering (9 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cancer Research (1.3k citations), Endocrinology (260 citations), Molecular Biology (3.3k citations), Plant Science (596 citations) and Biochemistry (92 citations). Meiling Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kaihua Lu, Ming Sun, Weiqin Wu, Chengqi Yi, Wei Li, Erxun Zhou, Xiang-hua Liu, Weiping Xie, Yayi Hou and Li Zheng. Their work appears in journals such as Viruses, Journal of Ethnopharmacology, PLoS ONE, Cancer Research and Frontiers in Pharmacology.
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.