Ming Chu

1.2k citations
52 papers · 867 · h-index 15

Impact in

    • Berberine and alkaloids research
    • Alkaloids: synthesis and pharmacology
    • Pharmacological Effects of Natural Compounds
    • Antibiotic Resistance in Bacteria

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Cytokine Signaling Pathways and Interactions 3
    • Cancer-related Molecular Pathways 3

Ming Chu

49 papers receiving 849 citations

Peers

Ming Chu
Comparison fields: 5 of 114
  • Pharmacology 109
  • Pharmacology 181
  • Molecular Medicine 49
  • Immunology 124
  • Periodontics 24
Replace Małgorzata Polz‐Dacewicz with:
Małgorzata Polz‐Dacewicz Poland
Natarajan Bhaskaran United States
Arshad Jawed India
Yuling Liu China
Xichun Pan China
Jestin Chellian Malaysia
M. Różalski Poland
Weiwei Jiang China
Hiroyasu Sakai Japan
Navneet Agnihotri India
Ming Chu relative to Małgorzata Polz‐Dacewicz Poland Małgorzata Polz‐Dacewicz's profile →
Citations per field
00.5×1.5×2.1×
Małgorzata Polz‐Dacewicz · 1×
Citations per year

Countries citing papers authored by Ming Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Chu Line = papers co-authored together Ming Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016105
2 201490
3 201782
4 201571
5 202265
6 201543
7 201830
8 201829
9 201328
10 200026
11 202223
12 200820
13 202318
14 202218
15 202217
16 202212
17
[Effect of baicalin on in vivo anti-virus].
200712
18
[The extract of compound Radix Scutellariae on mRNA replication and IFN expression of influenza virus in mice].
200712
19 202210
20 202210

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 867 indexed citations. Recurring topics across this work include Berberine and alkaloids research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immune Response and Inflammation (3 papers), Dermatology and Skin Diseases (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Pharmacology (109 citations), Pharmacology (181 citations), Molecular Medicine (49 citations), Immunology (124 citations) and Periodontics (24 citations). Ming Chu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Zheng-yun Chu, Yuedan Wang, Mingbo Zhang, Yimiao Zhu, Zhou Zhou, Ran Ding, Yuedan Wang, Lan Xu, Mingbo Zhang and Kailin Yin. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Immunology, PLoS ONE, Frontiers in Oncology 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.

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