Mei Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Kinase Regulation and GTPase Signaling
- Circular RNAs in diseases
- Melanoma and MAPK Pathways
- 14-3-3 protein interactions
Papers in
-
- MicroRNA in disease regulation 7
- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Patrick J. CaseyJiancheng HuUfuk DegirmenciMitsuo KatoLinda LantingRama NatarajanSumanth PuttaMei‐Lin Go
- Journals
- Oncogene (8 papers)Journal of Biological Chemistry (5 papers)PLoS ONE (4 papers)Cancer Biology & Therapy (3 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Mei Wang
140 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 718
- Molecular Biology 2.4k
- Oncology 617
- Biochemistry 129
- Cell Biology 285
Countries citing papers authored by Mei Wang
This map shows the geographic impact of Mei Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Wang more than expected).
Fields of papers citing papers by Mei Wang
This network shows the impact of papers produced by Mei Wang. 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 Wang. The network helps show where Mei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Wang, 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 1 | |
| 9 | MicroRNA-375 Targets ATG14 to Inhibit Autophagy and Sensitize Hepatocellular Carcinoma Cells to Sorafenib | 2020 | 1 |
| 10 | 2018 | 33 | |
| 11 | 2017 | 48 | |
| 12 | 2016 | 377 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 50 | |
| 15 | 2011 | 23 | |
| 16 | Detection analysis of 430 cases of patients with allergic diseases of allergen in Xiangxi minority nationality regions | 2011 | 1 |
| 17 | 2009 | 3 | |
| 18 | 2003 | 28 | |
| 19 | 2002 | 6 | |
| 20 | A PULSE RADIOLYSIS AND LASER FLASH PHOTOLYSIS STUDY OF ANILINE | 2001 | 2 |
About Mei Wang
Mei Wang is a scholar working on Cancer Research, Developmental Biology, Molecular Biology, Pharmacology and Cell Biology, having authored 146 papers that have together received 4.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Melanoma and MAPK Pathways (8 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (7 papers), MicroRNA in disease regulation (7 papers), 14-3-3 protein interactions (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Cancer Research (718 citations), Molecular Biology (2.4k citations), Oncology (617 citations), Biochemistry (129 citations) and Cell Biology (285 citations). Mei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Patrick J. Casey, Jiancheng Hu, Ufuk Degirmenci, Mitsuo Kato, Linda Lanting, Rama Natarajan, Sumanth Putta, Mei‐Lin Go, Maurice Godfrey and Wanlong Zhu. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, PLoS ONE, Cancer Biology & Therapy and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.