Changqing Yang

2.3k citations
92 papers · 1.7k · h-index 26

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Changqing Yang

89 papers receiving 1.7k citations

Peers

Changqing Yang
Comparison fields: 5 of 129
  • Hepatology 243
  • Cancer Research 422
  • Molecular Biology 776
  • Aging 19
  • Epidemiology 347
Replace Changzheng Li with:
Changzheng Li China
Qiaoyou Weng China
Meng Xia China
Bruno Baudin France
Yasuhito Kobayashi Japan
Dengfu Yao China
Fabio Marongiu Italy
Hongshan Chen China
Sandro Altamura Germany
Guodong Zhao China
Changqing Yang relative to Changzheng Li China Changzheng Li's profile →
Citations per field
00.5×2.9×
Changzheng Li · 1×
Citations per year

Countries citing papers authored by Changqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Changqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 199783
3 201382
4 202178
5 201474
6 201862
7 201562
8 201557
9
MiR-222 overexpression promotes proliferation of human hepatocellular carcinoma HepG2 cells by downregulating p27.
201447
10 201244
11 202139
12 201439
13 201236
14 201536
15
Expression of MTA2 and Ki-67 in hepatocellular carcinoma and their correlation with prognosis.
201534
16 202333
17 201633
18 200332
19 201932
20 201630

About Changqing Yang

Changqing Yang is a scholar working on Epidemiology, Molecular Biology, Hepatology, Cancer Research and Surgery, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (23 papers), Liver physiology and pathology (15 papers), MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (7 papers), Liver Disease and Transplantation (7 papers), Circular RNAs in diseases (4 papers), Antifungal resistance and susceptibility (4 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Hepatology (243 citations), Cancer Research (422 citations), Molecular Biology (776 citations), Aging (19 citations) and Epidemiology (347 citations). Changqing Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Junjie Xiao, Fei Wang, Yang Song, Yihua Bei, Yingying Zhao, Yan Cao, Zhenguo Liu, Yingying Zhao, Meiyi Song and Tetsumi Irie. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Biological and Pharmaceutical Bulletin, Building and Environment, Hepatology International and Clinical Rheumatology.

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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