Chun Liang

3.6k citations
99 papers · 2.7k · h-index 25

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 9
    • Extracellular vesicles in disease 8
    • Natural product bioactivities and synthesis 6
    • Atherosclerosis and Cardiovascular Diseases 15

Chun Liang

95 papers receiving 2.7k citations

Peers

Chun Liang
Comparison fields: 5 of 123
  • Clinical Biochemistry 231
  • Cancer Research 397
  • Cardiology and Cardiovascular Medicine 465
  • Molecular Biology 1.3k
  • Complementary and alternative medicine 147
Replace Mingxiang Zhang with:
Mingxiang Zhang China
Weili Shen China
Lu Lu China
Xufeng Tao China
Alexandra А. Melnichenko Russia
Wu Luo China
Aijun Sun China
Xu Han China
Nehal M. Elsherbiny Egypt
Senthil Kumar Venugopal India
Chun Liang relative to Mingxiang Zhang China Mingxiang Zhang's profile →
Citations per field
00.5×1.6×
Mingxiang Zhang · 1×
Citations per year

Countries citing papers authored by Chun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Chun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019223
2 2020156
3 2016144
4 2011144
5 2008139
6 2019122
7 2005116
8 201998
9 201095
10 200993
11 200986
12 201686
13 202083
14 202183
15 200482
16 201181
17 200951
18 201949
19 201645
20 201639

About Chun Liang

Chun Liang is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Surgery and Cancer Research, having authored 99 papers that have together received 2.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (15 papers), Angiogenesis and VEGF in Cancer (9 papers), Extracellular vesicles in disease (8 papers), Traditional Chinese Medicine Analysis (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Natural product bioactivities and synthesis (6 papers), Advanced Glycation End Products research (6 papers) and Apelin-related biomedical research (5 papers). The work is most often cited by research in Clinical Biochemistry (231 citations), Cancer Research (397 citations), Cardiology and Cardiovascular Medicine (465 citations), Molecular Biology (1.3k citations) and Complementary and alternative medicine (147 citations). Chun Liang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zonggui Wu, Yangxin Li, Zhiqing He, Yanli Wang, Bin Liu, Bing Yan, Xiyong Yu, Yusheng Ren, Xiangbin Pan and Yao‐Hua Song. Their work appears in journals such as Atherosclerosis, Microvascular Research, Evidence-based Complementary and Alternative Medicine, Journal of Cardiovascular Pharmacology and Journal of Atherosclerosis and Thrombosis.

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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