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
- ATP Synthase and ATPases Research 6
- PI3K/AKT/mTOR signaling in cancer 5
- Mitochondrial Function and Pathology 5
- Lipid Membrane Structure and Behavior 5
- Co-authors
- Georgia Dolios (4 shared papers)Sacha Uljon (3 shared papers)Xiaochun Li (5 shared papers)Jianping Ding (5 shared papers)Colin Thorpe (3 shared papers)Xiao‐Song Xie (3 shared papers)Yasuo Ihara (1 shared paper)Yu Tanimura (1 shared paper)
- Journals
- Nature Communications (5 papers)Frontiers in Plant Science (5 papers)Biochemistry (5 papers)Proceedings of the National Academy of Sciences (4 papers)Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Rong Wang
105 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 137
- Physiology 806
- Molecular Biology 1.8k
- Cell Biology 336
- Biomaterials 252
- Neurology 158
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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 327 | |
| 2 | 2004 | 196 | |
| 3 | 1993 | 182 | |
| 4 | 2003 | 153 | |
| 5 | 1999 | 140 | |
| 6 | 2021 | 132 | |
| 7 | 1998 | 88 | |
| 8 | 2007 | 77 | |
| 9 | 2015 | 68 | |
| 10 | 2009 | 67 | |
| 11 | 2017 | 63 | |
| 12 | 2007 | 63 | |
| 13 | 1998 | 61 | |
| 14 | 2014 | 59 | |
| 15 | 2013 | 59 | |
| 16 | 2021 | 55 | |
| 17 | 2002 | 55 | |
| 18 | 2017 | 49 | |
| 19 | 2021 | 49 | |
| 20 | 1991 | 48 |
About Rong Wang
Rong Wang is a scholar working on Structural Biology, Molecular Biology, Biomaterials, Endocrinology and Biochemistry, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), ATP Synthase and ATPases Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Mitochondrial Function and Pathology (5 papers), Lipid Membrane Structure and Behavior (5 papers), Pancreatic function and diabetes (4 papers), Alzheimer's disease research and treatments (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Physiology (806 citations), Molecular Biology (1.8k citations), Cell Biology (336 citations), Biomaterials (252 citations) and Neurology (158 citations). Rong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Georgia Dolios, Sacha Uljon, Xiaochun Li, Jianping Ding, Colin Thorpe, Xiao‐Song Xie, Yasuo Ihara, Yu Tanimura, Fuyuki Kametani and David A. Harris. Their work appears in journals such as Nature Communications, Frontiers in Plant Science, Biochemistry, Proceedings of the National Academy of Sciences and Cell Research.
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.