Rong Wang
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Molecular Biology top 5%
- Prion Diseases and Protein Misfolding
- Ubiquitin and proteasome pathways
Papers in
-
- Glycosylation and Glycoproteins Research 8
- PI3K/AKT/mTOR signaling in cancer 5
- Lipid Membrane Structure and Behavior 5
- Ubiquitin and proteasome pathways 4
- ATP Synthase and ATPases Research 4
- Biomaterials 11
- Co-authors
- Georgia Dolios (4 shared papers)Sacha Uljon (3 shared papers)Brian T. Chait (4 shared papers)Xiaochun Li (5 shared papers)Jianping Ding (5 shared papers)Colin Thorpe (3 shared papers)Xiao‐Song Xie (3 shared papers)David A. Harris (1 shared paper)
- Journals
- Frontiers in Plant Science (5 papers)Biochemistry (5 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Communications (5 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Rong Wang
112 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 138
- Physiology 812
- Molecular Biology 1.8k
- Cell Biology 340
- Neurology 157
- Biomaterials 263
Countries citing papers authored by Rong Wang
This map shows the geographic impact of Rong 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 Rong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Wang more than expected).
Fields of papers citing papers by Rong Wang
This network shows the impact of papers produced by Rong 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 Rong Wang. The network helps show where Rong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Rong 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 337 | |
| 2 | 2004 | 203 | |
| 3 | 1993 | 185 | |
| 4 | 2003 | 158 | |
| 5 | 1999 | 145 | |
| 6 | 2021 | 139 | |
| 7 | 1998 | 95 | |
| 8 | 2007 | 80 | |
| 9 | 2015 | 71 | |
| 10 | 2009 | 70 | |
| 11 | 2017 | 66 | |
| 12 | 2007 | 65 | |
| 13 | 2014 | 64 | |
| 14 | 1998 | 62 | |
| 15 | 2013 | 59 | |
| 16 | 2002 | 59 | |
| 17 | 2021 | 58 | |
| 18 | 2017 | 55 | |
| 19 | 2015 | 51 | |
| 20 | 2021 | 51 |
About Rong Wang
Rong Wang is a scholar working on Molecular Biology, Biomaterials, Organic Chemistry, Plant Science and Biomedical Engineering, having authored 117 papers that have together received 3.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Lipid Membrane Structure and Behavior (5 papers), Ubiquitin and proteasome pathways (4 papers), ATP Synthase and ATPases Research (4 papers), Bone Tissue Engineering Materials (4 papers), Pancreatic function and diabetes (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Physiology (812 citations), Molecular Biology (1.8k citations), Cell Biology (340 citations), Neurology (157 citations) and Biomaterials (263 citations). Rong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Georgia Dolios, Sacha Uljon, Brian T. Chait, Xiaochun Li, Jianping Ding, Colin Thorpe, Xiao‐Song Xie, David A. Harris, Tianlong Zhang and Mary T. Huber. Their work appears in journals such as Frontiers in Plant Science, Biochemistry, Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.