Ming Chu
Impact in
- Pharmacology top 5%
- Berberine and alkaloids research
- Alkaloids: synthesis and pharmacology
- Pharmacological Effects of Natural Compounds
- Plant-based Medicinal Research
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 4
- Oncology 14
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Zheng-yun Chu (8 shared papers)Yuedan Wang (12 shared papers)Mingbo Zhang (3 shared papers)Yimiao Zhu (1 shared paper)Zhou Zhou (1 shared paper)Ran Ding (2 shared papers)Yuedan Wang (11 shared papers)Lan Xu (2 shared papers)
- Journals
- Frontiers in Pharmacology (5 papers)Frontiers in Immunology (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming Chu
49 papers receiving 793 citations
Peers
Comparison fields: 5 of 117
- Pharmacology 114
- Molecular Medicine 53
- Pharmacology 173
- Immunology 136
- Infectious Diseases 101
Countries citing papers authored by Ming Chu
This map shows the geographic impact of Ming Chu'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 Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Chu more than expected).
Fields of papers citing papers by Ming Chu
This network shows the impact of papers produced by Ming Chu. 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 Chu. The network helps show where Ming Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Chu, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2014 | 86 | |
| 3 | 2017 | 78 | |
| 4 | 2015 | 67 | |
| 5 | 2022 | 62 | |
| 6 | 2015 | 42 | |
| 7 | 2018 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2013 | 28 | |
| 10 | 2000 | 26 | |
| 11 | 2008 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 15 | |
| 15 | 2023 | 15 | |
| 16 | [Effect of baicalin on in vivo anti-virus]. | 2007 | 12 |
| 17 | [The extract of compound Radix Scutellariae on mRNA replication and IFN expression of influenza virus in mice]. | 2007 | 12 |
| 18 | 2022 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Ming Chu
Ming Chu is a scholar working on Molecular Biology, Oncology, Immunology, Pharmacology and Infectious Diseases, having authored 52 papers that have together received 810 indexed citations. Recurring topics across this work include Berberine and alkaloids research (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (4 papers), IL-33, ST2, and ILC Pathways (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Pharmacology (114 citations), Molecular Medicine (53 citations), Pharmacology (173 citations), Immunology (136 citations) and Infectious Diseases (101 citations). Ming Chu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zheng-yun Chu, Yuedan Wang, Mingbo Zhang, Yimiao Zhu, Zhou Zhou, Ran Ding, Yuedan Wang, Lan Xu, Mingbo Zhang and Shao-Hua Xie. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Immunology, PLoS ONE, Scientific Reports and Oncotarget.
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.