Mingxia Wang
Impact in
- Drug Discovery top 10%
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
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- Analytical Methods in Pharmaceuticals 10
-
- Traditional Chinese Medicine Analysis 9
- Co-authors
- Runqing Li (1 shared paper)Baoen Shan (1 shared paper)Pengmin Qin (2 shared papers)Georg Northoff (1 shared paper)Huayu Huang (3 shared papers)Jing‐Yan Han (10 shared papers)Jing‐Yu Fan (10 shared papers)Xin Zhang (1 shared paper)
- Journals
- Drug Design Development and Therapy (6 papers)Nature Communications (4 papers)Scientia Horticulturae (3 papers)PLoS ONE (3 papers)Journal of Ethnopharmacology (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mingxia Wang
146 papers receiving 2.3k citations
Mingxia Wang's Hit Papers
Peers
Comparison fields: 5 of 133
- Drug Discovery 8
- Biochemistry 76
- Complementary and alternative medicine 98
- Oncology 216
- Neurology 68
Countries citing papers authored by Mingxia Wang
This map shows the geographic impact of Mingxia 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 Mingxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Wang more than expected).
Fields of papers citing papers by Mingxia Wang
This network shows the impact of papers produced by Mingxia 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 Mingxia Wang. The network helps show where Mingxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia 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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 220 | |
| 2 | BCMA-CD19 compound CAR T cells for systemic lupus erythematosus: a phase 1 open-label clinical trial Hit paper breakdown → | 2024 | 155 |
| 3 | 2020 | 149 | |
| 4 | 2008 | 98 | |
| 5 | 2017 | 78 | |
| 6 | 2002 | 77 | |
| 7 | 2019 | 60 | |
| 8 | 2013 | 53 | |
| 9 | 2013 | 47 | |
| 10 | 2014 | 36 | |
| 11 | 2022 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 33 | |
| 15 | 2023 | 32 | |
| 16 | 2013 | 31 | |
| 17 | 2015 | 31 | |
| 18 | 2017 | 31 | |
| 19 | 2019 | 31 | |
| 20 | 2006 | 30 |
About Mingxia Wang
Mingxia Wang is a scholar working on Analytical Chemistry, Complementary and alternative medicine, Pharmacology, Oncology and Immunology, having authored 154 papers that have together received 2.3k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (10 papers), Traditional Chinese Medicine Analysis (9 papers), Pharmacogenetics and Drug Metabolism (5 papers), Lung Cancer Treatments and Mutations (5 papers), Electrochemical sensors and biosensors (5 papers), Animal Disease Management and Epidemiology (4 papers), Anesthesia and Sedative Agents (4 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Drug Discovery (8 citations), Biochemistry (76 citations), Complementary and alternative medicine (98 citations), Oncology (216 citations) and Neurology (68 citations). Mingxia Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Runqing Li, Baoen Shan, Pengmin Qin, Georg Northoff, Huayu Huang, Jing‐Yan Han, Jing‐Yu Fan, Xin Zhang, Junjie Ma and Yuying Liu. Their work appears in journals such as Drug Design Development and Therapy, Nature Communications, Scientia Horticulturae, PLoS ONE and Journal of Ethnopharmacology.
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.