Chun Liang

3.5k citations
91 papers · 2.7k · h-index 25

Impact in

Papers in

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

Chun Liang

88 papers receiving 2.7k citations

Peers

Chun Liang
Comparison fields: 5 of 119
  • Clinical Biochemistry 207
  • Cancer Research 337
  • Cardiology and Cardiovascular Medicine 396
  • Molecular Biology 1.2k
  • Complementary and alternative medicine 127
Replace Mingxiang Zhang with:
Mingxiang Zhang China
Weili Shen China
Lu Lu China
Somasundaram Arumugam Japan
Aleksandr E. Vendrov United States
Po‐Len Liu Taiwan
Alexandra А. Melnichenko Russia
Nehal M. Elsherbiny Egypt
Xufeng Tao China
Nobuhiro Suematsu Japan
Chun Liang relative to Mingxiang Zhang China Mingxiang Zhang's profile →
Citations per field
00.5×1.5×
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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 2020161
3 2011148
4 2016145
5 2008140
6 2019123
7 2005117
8 2019100
9 201097
10 200993
11 201691
12 200989
13 202186
14 202084
15 200482
16 201181
17 200951
18 201951
19 201645
20 201640

About Chun Liang

Chun Liang is a scholar working on Molecular Biology, Immunology, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (9 papers), Extracellular vesicles in disease (8 papers), Angiogenesis and VEGF in Cancer (6 papers), Natural product bioactivities and synthesis (6 papers), Traditional Chinese Medicine Analysis (5 papers), MicroRNA in disease regulation (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Clinical Biochemistry (207 citations), Cancer Research (337 citations), Cardiology and Cardiovascular Medicine (396 citations), Molecular Biology (1.2k citations) and Complementary and alternative medicine (127 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, Xiangbin Pan, Yusheng Ren and Yao‐Hua Song. Their work appears in journals such as Atherosclerosis, Microvascular Research, Evidence-based Complementary and Alternative Medicine, International Journal of Molecular Medicine 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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