Ming‐Wei Wang
Impact in
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling
- Genomics and Phylogenetic Studies
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Receptor Mechanisms and Signaling 70
- PI3K/AKT/mTOR signaling in cancer 12
-
- Computational Drug Discovery Methods 12
- Co-authors
- Dehua Yang (95 shared papers)Qingtong Zhou (50 shared papers)Qing Liu (26 shared papers)Antao Dai (32 shared papers)Raymond C. Stevens (8 shared papers)Xiaoqing Cai (28 shared papers)Robert J. Hamer (4 shared papers)Ton van Vliet (3 shared papers)
- Journals
- Acta Pharmacologica Sinica (33 papers)Acta Pharmaceutica Sinica B (14 papers)Proceedings of the National Academy of Sciences (11 papers)Nature Communications (9 papers)Nature (7 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ming‐Wei Wang
319 papers receiving 9.7k citations
Ming‐Wei Wang's Hit Papers
Peers
Comparison fields: 5 of 184
- Molecular Biology 4.4k
- Computational Theory and Mathematics 733
- Endocrinology, Diabetes and Metabolism 729
- Nutrition and Dietetics 369
- Endocrine and Autonomic Systems 133
Countries citing papers authored by Ming‐Wei Wang
This map shows the geographic impact of Ming‐Wei 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 Ming‐Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Wei Wang more than expected).
Fields of papers citing papers by Ming‐Wei Wang
This network shows the impact of papers produced by Ming‐Wei 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 Ming‐Wei Wang. The network helps show where Ming‐Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Wei 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 339 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The sequence and de novo assembly of the giant panda genome Hit paper breakdown → | 2009 | 947 |
| 2 | Common activation mechanism of class A GPCRs Hit paper breakdown → | 2019 | 481 |
| 3 | G protein-coupled receptors: structure- and function-based drug discovery Hit paper breakdown → | 2021 | 472 |
| 4 | Organic fertilization promotes crop productivity through changes in soil aggregation Hit paper breakdown → | 2021 | 251 |
| 5 | 2017 | 203 | |
| 6 | 2013 | 201 | |
| 7 | 2019 | 192 | |
| 8 | 2022 | 178 | |
| 9 | 2020 | 159 | |
| 10 | 2004 | 152 | |
| 11 | 2007 | 152 | |
| 12 | 2020 | 137 | |
| 13 | 2013 | 134 | |
| 14 | 2021 | 121 | |
| 15 | 2018 | 117 | |
| 16 | 2004 | 116 | |
| 17 | 2022 | 116 | |
| 18 | 2006 | 109 | |
| 19 | 2020 | 104 | |
| 20 | 2008 | 102 |
About Ming‐Wei Wang
Ming‐Wei Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 339 papers that have together received 10k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (70 papers), Diabetes Treatment and Management (17 papers), Synthesis and biological activity (14 papers), Computational Drug Discovery Methods (12 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Estrogen and related hormone effects (10 papers), Pancreatic function and diabetes (9 papers) and Prostate Cancer Treatment and Research (7 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Computational Theory and Mathematics (733 citations), Endocrinology, Diabetes and Metabolism (729 citations), Nutrition and Dietetics (369 citations) and Endocrine and Autonomic Systems (133 citations). Ming‐Wei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dehua Yang, Qingtong Zhou, Qing Liu, Antao Dai, Raymond C. Stevens, Xiaoqing Cai, Robert J. Hamer, Ton van Vliet, Suwen Zhao and Yi Jiang. Their work appears in journals such as Acta Pharmacologica Sinica, Acta Pharmaceutica Sinica B, Proceedings of the National Academy of Sciences, Nature Communications and Nature.
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.