Wei Meng
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Drug Solubulity and Delivery Systems 7
-
- Immune cells in cancer 4
- Co-authors
- David W. Busija (7 shared papers)Joseph R. Tobin (2 shared papers)Fernando J. Muzzio (9 shared papers)Ferenc Bari (3 shared papers)Thomas M. Louis (2 shared papers)Maxim N. Artyomov (3 shared papers)Pamela Wong (2 shared papers)Cora D. Arthur (3 shared papers)
- Journals
- Stroke (5 papers)Cell (2 papers)Powder Technology (2 papers)International Journal of Pharmaceutics (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Meng
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Pharmaceutical Science 125
- Immunology 297
- Oncology 219
- Endocrine and Autonomic Systems 56
- Neurology 59
Countries citing papers authored by Wei Meng
This map shows the geographic impact of Wei Meng'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 Wei Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Meng more than expected).
Fields of papers citing papers by Wei Meng
This network shows the impact of papers produced by Wei Meng. 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 Wei Meng. The network helps show where Wei Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Meng, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 307 | |
| 2 | 1995 | 121 | |
| 3 | 1993 | 82 | |
| 4 | 1996 | 77 | |
| 5 | 2018 | 66 | |
| 6 | 2012 | 59 | |
| 7 | 2016 | 57 | |
| 8 | 2016 | 55 | |
| 9 | 1996 | 48 | |
| 10 | 2019 | 43 | |
| 11 | 2017 | 40 | |
| 12 | 2016 | 37 | |
| 13 | 1996 | 32 | |
| 14 | 1997 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2018 | 22 | |
| 17 | 2016 | 19 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2016 | 13 |
About Wei Meng
Wei Meng is a scholar working on Pharmaceutical Science, Immunology, Cardiology and Cardiovascular Medicine, Computational Mechanics and Mechanical Engineering, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (8 papers), Drug Solubulity and Delivery Systems (7 papers), Immune cells in cancer (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Crystallization and Solubility Studies (2 papers), Carbon Dioxide Capture Technologies (2 papers) and Cardiac tumors and thrombi (2 papers). The work is most often cited by research in Pharmaceutical Science (125 citations), Immunology (297 citations), Oncology (219 citations), Endocrine and Autonomic Systems (56 citations) and Neurology (59 citations). Wei Meng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David W. Busija, Joseph R. Tobin, Fernando J. Muzzio, Ferenc Bari, Thomas M. Louis, Maxim N. Artyomov, Pamela Wong, Cora D. Arthur, Robert S. Fulton and Olga N. Malkova. Their work appears in journals such as Stroke, Cell, Powder Technology, International Journal of Pharmaceutics and American Journal of Physiology-Heart and Circulatory Physiology.
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.