Ming‐Wei Wang
Impact in
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- Neuropeptides and Animal Physiology
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- Diabetes Treatment and Management
Papers in
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- Receptor Mechanisms and Signaling 56
- PI3K/AKT/mTOR signaling in cancer 9
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- Neuropeptides and Animal Physiology 43
- Co-authors
- Dehua Yang (87 shared papers)Qing Liu (26 shared papers)Qingtong Zhou (42 shared papers)Antao Dai (32 shared papers)Raymond C. Stevens (8 shared papers)R.J. Hamer (4 shared papers)Xiaoqing Cai (28 shared papers)T. van Vliet (3 shared papers)
- Journals
- Acta Pharmacologica Sinica (31 papers)Acta Pharmaceutica Sinica B (11 papers)Proceedings of the National Academy of Sciences (9 papers)Nature Communications (6 papers)Bioorganic & Medicinal Chemistry (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ming‐Wei Wang
304 papers receiving 7.0k citations
Ming‐Wei Wang's Hit Papers
Peers
Comparison fields: 5 of 189
- Cellular and Molecular Neuroscience 1.4k
- Endocrinology, Diabetes and Metabolism 941
- Molecular Biology 3.6k
- Computational Theory and Mathematics 612
- Nutrition and Dietetics 507
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 320 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | G protein-coupled receptors: structure- and function-based drug discovery Hit paper breakdown → | 2021 | 436 |
| 2 | Common activation mechanism of class A GPCRs Hit paper breakdown → | 2019 | 424 |
| 3 | Organic fertilization promotes crop productivity through changes in soil aggregation Hit paper breakdown → | 2021 | 215 |
| 4 | 2013 | 192 | |
| 5 | 2004 | 150 | |
| 6 | 2007 | 145 | |
| 7 | 2013 | 128 | |
| 8 | 2020 | 117 | |
| 9 | 2004 | 115 | |
| 10 | 2006 | 109 | |
| 11 | 2021 | 103 | |
| 12 | 2008 | 101 | |
| 13 | 2020 | 98 | |
| 14 | 2015 | 97 | |
| 15 | 2002 | 96 | |
| 16 | 2007 | 90 | |
| 17 | 2004 | 88 | |
| 18 | Regulated stepwise ESDPT mechanism associated with chalcogen substitutions in BDIBD derivatives Hit paper breakdown → | 2024 | 74 |
| 19 | 2021 | 73 | |
| 20 | 2007 | 73 |
About Ming‐Wei Wang
Ming‐Wei Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery and Oncology, having authored 320 papers that have together received 7.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (56 papers), Neuropeptides and Animal Physiology (43 papers), Diabetes Treatment and Management (35 papers), Pancreatic function and diabetes (14 papers), Estrogen and related hormone effects (13 papers), semigroups and automata theory (9 papers), Computational Drug Discovery Methods (9 papers) and PI3K/AKT/mTOR signaling in cancer (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Endocrinology, Diabetes and Metabolism (941 citations), Molecular Biology (3.6k citations), Computational Theory and Mathematics (612 citations) and Nutrition and Dietetics (507 citations). Ming‐Wei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dehua Yang, Qing Liu, Qingtong Zhou, Antao Dai, Raymond C. Stevens, R.J. Hamer, Xiaoqing Cai, T. van Vliet, Suwen Zhao and Jeffrey Shallit. Their work appears in journals such as Acta Pharmacologica Sinica, Acta Pharmaceutica Sinica B, Proceedings of the National Academy of Sciences, Nature Communications and Bioorganic & Medicinal Chemistry.
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.