Meina Wang
Impact in
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- TGF-β signaling in diseases 6
- Epigenetics and DNA Methylation 4
- Pharmacology 10
- Biological and pharmacological studies of plants 6
- Co-authors
- Chris Boshoff (1 shared paper)Roy S. Herbst (2 shared papers)Di Chen (7 shared papers)Hongting Jin (6 shared papers)Hee‐Jeong Im (3 shared papers)Jia Li (2 shared papers)Erik R. Sampson (3 shared papers)Yilin Wang (10 shared papers)
- Journals
- Soft Matter (3 papers)Langmuir (3 papers)Bone (2 papers)Journal of Anatomy (2 papers)Hippocampus (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Meina Wang
60 papers receiving 3.0k citations
Meina Wang's Hit Papers
Peers
Comparison fields: 5 of 139
- Rheumatology 730
- Cancer Research 554
- Pharmacology 521
- Behavioral Neuroscience 87
- Molecular Biology 1.3k
Countries citing papers authored by Meina Wang
This map shows the geographic impact of Meina 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 Meina Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meina Wang more than expected).
Fields of papers citing papers by Meina Wang
This network shows the impact of papers produced by Meina 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 Meina Wang. The network helps show where Meina Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meina 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
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toward personalized treatment approaches for non-small-cell lung cancer Hit paper breakdown → | 2021 | 655 |
| 2 | MMP13 is a critical target gene during the progression of osteoarthritis Hit paper breakdown → | 2013 | 421 |
| 3 | 2011 | 202 | |
| 4 | 2011 | 165 | |
| 5 | 2013 | 153 | |
| 6 | 2011 | 111 | |
| 7 | 2012 | 85 | |
| 8 | 2019 | 83 | |
| 9 | 2010 | 81 | |
| 10 | 2011 | 72 | |
| 11 | 2014 | 71 | |
| 12 | 2021 | 69 | |
| 13 | 2015 | 67 | |
| 14 | 2006 | 60 | |
| 15 | 2005 | 52 | |
| 16 | 2018 | 44 | |
| 17 | 2012 | 42 | |
| 18 | 2020 | 37 | |
| 19 | 2011 | 34 | |
| 20 | 2006 | 33 |
About Meina Wang
Meina Wang is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Cancer Research and Oncology, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (9 papers), TGF-β signaling in diseases (6 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Biological and pharmacological studies of plants (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Epigenetics and DNA Methylation (4 papers), Memory and Neural Mechanisms (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Rheumatology (730 citations), Cancer Research (554 citations), Pharmacology (521 citations), Behavioral Neuroscience (87 citations) and Molecular Biology (1.3k citations). Meina Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chris Boshoff, Roy S. Herbst, Di Chen, Hongting Jin, Hee‐Jeong Im, Jia Li, Erik R. Sampson, Yilin Wang, Jie Shen and Regis J. O’Keefe. Their work appears in journals such as Soft Matter, Langmuir, Bone, Journal of Anatomy and Hippocampus.
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.