Ming Lyu

916 citations
23 papers · 693 · 1 hit paper · h-index 13

Impact in

Papers in

Ming Lyu

21 papers receiving 688 citations

Hit Papers

Traditional Chinese medicine in COVID-19 2021 · 153 citations
1530+1+3Years since publication50100150

Peers

Ming Lyu
Comparison fields: 5 of 96
  • Complementary and alternative medicine 202
  • Pharmacology 144
  • Neurology 72
  • Biological Psychiatry 20
  • Molecular Biology 305
Replace De Jin with:
De Jin China
Yun Hee Jeong South Korea
Long Cheng China
Zezheng Gao China
Tae Woo Oh South Korea
Chi Man Koon Hong Kong
Guanwei Fan China
Anna Bogacz Poland
Mingfeng Guan China
Ming Lyu relative to De Jin China De Jin's profile →
Citations per field
00.5×5.7×
De Jin · 1×
Citations per year

Countries citing papers authored by Ming Lyu

Since Specialization
Citations

This map shows the geographic impact of Ming Lyu'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 Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lyu more than expected).

Fields of papers citing papers by Ming Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Lyu. 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 Lyu. The network helps show where Ming Lyu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming Lyu, 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 Lyu Line = papers co-authored together Ming Lyu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017163
2
Traditional Chinese medicine in COVID-19
Hit paper breakdown →
2021153
3 201780
4 201950
5 201830
6 202227
7 201823
8 202023
9 202222
10 201922
11 202017
12 202213
13 202412
14 201911
15 202111
16 20199
17 20238
18 20227
19 20235
20 20235

About Ming Lyu

Ming Lyu is a scholar working on Complementary and alternative medicine, Neurology, Molecular Biology, Pharmacology and Immunology, having authored 23 papers that have together received 693 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (7 papers), Neurological Disease Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Ginkgo biloba and Cashew Applications (3 papers), Immune Response and Inflammation (3 papers), Plant-based Medicinal Research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Complementary and alternative medicine (202 citations), Pharmacology (144 citations), Neurology (72 citations), Biological Psychiatry (20 citations) and Molecular Biology (305 citations). Ming Lyu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yan Zhu, Guanwei Fan, Xiaoying Wang, Yuefei Wang, Shuang-yong Xu, Guangxu Xiao, Taiyi Wang, Guanwei Fan, Jigang Wang and Yuling Ma. Their work appears in journals such as Frontiers in Pharmacology, Biomedicine & Pharmacotherapy, Phytomedicine, Frontiers in Microbiology and Scientific Reports.

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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