Qing Miao

8.1k citations
203 papers · 6.5k indexed · h-index 45

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Catalysis top 5%
    • Catalysis and Oxidation Reactions

Papers in

Qing Miao

192 papers receiving 6.4k citations

Peers

Qing Miao
Comparison fields: 5 of 151
  • Cancer Research 854
  • Catalysis 353
  • Molecular Biology 2.9k
  • Immunology 689
  • Inorganic Chemistry 447
Replace Shao‐Chun Wang with:
Shao‐Chun Wang United States
Jing Tian China
Chenggang Li China
Kenichi Inoue Japan
Kenji Okumura Japan
Xin Zhang China
Liang Ding China
Mark J. Kurth United States
Jie Tang China
Mian Wu China
Qing Miao relative to Shao‐Chun Wang United States Shao‐Chun Wang's profile →
Citations per field
00.5×6.0×
Shao‐Chun Wang · 1×
Citations per year

Countries citing papers authored by Qing Miao

Since Specialization
Citations

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

Fields of papers citing papers by Qing Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20256
4 20251
5 20243
6 20247
7 20238
8 202320
9 20209
10 202015
11
Anemoside B4 exerts anti-cancer effect by inducing apoptosis and autophagy through inhibiton of PI3K/Akt/mTOR pathway in hepatocellular carcinoma.
201952
12 201916
13 20181
14 20181
15 201512
16 2014179
17 201417
18 2009130
19 200754
20
[A case-control study on etiology of epithelial ovarian cancer in Shandong Province].
20065

About Qing Miao

Qing Miao is a scholar working on Cancer Research, Microbiology, Molecular Biology, Oncology and Genetics, having authored 203 papers that have together received 6.5k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Cholesterol and Lipid Metabolism (9 papers), Cancer-related Molecular Pathways (8 papers), Cancer Cells and Metastasis (8 papers), Tuberculosis Research and Epidemiology (8 papers), Catalytic Processes in Materials Science (8 papers), MicroRNA in disease regulation (7 papers) and Axon Guidance and Neuronal Signaling (7 papers). The work is most often cited by research in Cancer Research (854 citations), Catalysis (353 citations), Molecular Biology (2.9k citations), Immunology (689 citations) and Inorganic Chemistry (447 citations). Qing Miao has collaborated with scholars based in China, United States and Finland. Frequent co-authors include William C. Sessa, Julie Chao, Lee Chao, Weibin Fan, Mei Dong, Zhangfeng Qin, Jie Gao, Guofu Wang, Xianjun Niu and Jianguo Wang. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Frontiers in Cell and Developmental Biology, Arteriosclerosis Thrombosis and Vascular Biology and Blood.

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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