Minglan Wu
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Pharmacology top 10%
- Ginger and Zingiberaceae research
Papers in
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- Pharmacogenetics and Drug Metabolism 2
- Genetics 5
- Inflammatory Bowel Disease 3
- Co-authors
- Yunliang Zheng (7 shared papers)Duo Lv (3 shared papers)Xingjiang Hu (5 shared papers)Qiao Zhang (3 shared papers)Jianzhong Shentu (4 shared papers)Lihua Wu (4 shared papers)Meihua Lin (4 shared papers)Xiaolong Hu (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (2 papers)Drug Design Development and Therapy (2 papers)Drug Metabolism and Pharmacokinetics (1 paper)OncoTargets and Therapy (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- China
In The Last Decade
Minglan Wu
15 papers receiving 296 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 52
- Pharmacology 34
- Complementary and alternative medicine 30
- General Dentistry 1
- Biological Psychiatry 2
Countries citing papers authored by Minglan Wu
This map shows the geographic impact of Minglan Wu'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 Minglan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minglan Wu more than expected).
Fields of papers citing papers by Minglan Wu
This network shows the impact of papers produced by Minglan Wu. 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 Minglan Wu. The network helps show where Minglan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minglan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2018 | 63 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 20 | |
| 5 | 2024 | 20 | |
| 6 | 2014 | 14 | |
| 7 | 2016 | 14 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 0 |
About Minglan Wu
Minglan Wu is a scholar working on Pharmacology, Genetics, Pediatrics, Perinatology and Child Health, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 308 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmaceutical studies and practices (2 papers), Phytochemistry and Biological Activities (1 paper), COVID-19 Clinical Research Studies (1 paper), Gut microbiota and health (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (52 citations), Pharmacology (34 citations), Complementary and alternative medicine (30 citations), General Dentistry (1 citation) and Biological Psychiatry (2 citations). Minglan Wu has collaborated with scholars based in China. Frequent co-authors include Yunliang Zheng, Duo Lv, Xingjiang Hu, Qiao Zhang, Jianzhong Shentu, Lihua Wu, Meihua Lin, Xiaolong Hu, Chang Xu and Weifen Li. Their work appears in journals such as International Journal of Biological Macromolecules, Drug Design Development and Therapy, Drug Metabolism and Pharmacokinetics, OncoTargets and Therapy 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.