Min Liang

2.6k citations
88 papers · 1.9k indexed · h-index 26
Topics
Cancer-related molecular mechanisms research (16 papers)MicroRNA in disease regulation (13 papers)Circular RNAs in diseases (9 papers)
Journals
SHILAP Revista de lepidopterologíaMolecular CellPLoS ONE

In The Last Decade

Min Liang

79 papers receiving 1.9k citations

Peers

Min Liang
Comparison fields: 5 of 125
  • Molecular Biology 1.2k
  • Cancer Research 734
  • Oncology 191
  • Immunology 178
  • Epidemiology 174
Replace Xiang Fei with:
Xiang Fei China
Xiangyu Zhou China
Se‐Hee Kim South Korea
Shizhong Bu China
Shahla Shojaei Canada
Xuan Sun China
Ye Tian China
Jianguo Feng China
Tao Zeng China
Jian Yang China
Min Liang relative to Xiang Fei China Xiang Fei's profile →
Citations per field
00.5×1.5×
Xiang Fei · 1×
Citations per year

Countries citing papers authored by Min Liang

Since Specialization
Citations

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

Fields of papers citing papers by Min Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Liang. A scholar is included among the top collaborators of Min Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Liang. Min Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 1
5 17
6 9
7 3
8 51
9 19
10 1
11 4
12 22
13 3
14 4
15 22
16 12
17
Babaodan inhibits cell growth by inducing autophagy through the PI3K/AKT/mTOR pathway and enhances antitumor effects of cisplatin in NSCLC cells.
17
18 1
19
[LY294002 blocks the effect of dexamethasone in reducing urine protein in rats by inhibiting PI3K/Akt signaling pathway].
0
20 15

About Min Liang

Min Liang is a scholar working on Cancer Research, Microbiology and Developmental Neuroscience, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (13 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (734 citations), Molecular Biology (1.2k citations) and Immunology (178 citations). Min Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinke Zhou, Guanqun Huang, Xianhan Jiang, Ye Lin, Chong Wang, Jianhong Huang, Peiqing Li, Yidan Zhang, Haiyan Liu and Wenxia Yao. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Cell and PLoS ONE.

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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