Yu Liang

5.3k citations
29 papers · 4.3k indexed · 3 hit papers · h-index 16
Topics
Cancer-related molecular mechanisms research (16 papers)MicroRNA in disease regulation (15 papers)Circular RNAs in diseases (14 papers)
Partner nations
ChinaUnited StatesNorway

In The Last Decade

Yu Liang

28 papers receiving 4.3k citations

Hit Papers

A microRNA component of the p53 tumour suppressor network200720262013201920072007200750010001.5k2.0k

Peers

Yu Liang
Comparison fields: 5 of 124
  • Molecular Biology 3.5k
  • Cancer Research 3.4k
  • Oncology 342
  • Immunology 227
  • Pulmonary and Respiratory Medicine 152
Replace Dana Ridzon with:
Dana Ridzon United States
Ayelet Chajut United States
Eun Joo Lee South Korea
Jan Krützfeldt Switzerland
Xiaowei Wang China
Susanna Obad United States
Joshua Babiarz United States
Stefan J. Erkeland Netherlands
Jie Wang China
Giuseppe Zardo Italy
Yu Liang relative to Dana Ridzon United States Dana Ridzon's profile →
Citations per field
00.5×1.5×2.1×
Dana Ridzon · 1×
Citations per year

Countries citing papers authored by Yu Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Liang. A scholar is included among the top collaborators of Yu 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 Yu Liang. Yu 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 0
2 1
3 6
4 15
5 11
6 5
7 5
8 3
9 252
10 22
11 1
12 23
13 13
14 1
15 42
16 12
17 43
18
Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Linesbreakdown →
586
19
A microRNA component of the p53 tumour suppressor networkbreakdown →
2177
20
Intravesical immunotoxin as adjuvant therapy to prevent the recurrence of bladder cancer.
8

About Yu Liang

Yu Liang is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 29 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (14 papers). The work is most often cited by research in Cancer Research (3.4k citations), Molecular Biology (3.5k citations) and Oncology (342 citations). Yu Liang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Caifu Chen, Dana Ridzon, Linda Wong, Wen Xue, Michele A. Cleary, Zhenyu Xuan, Lin He, Aimee L. Jackson, Xingyue He and Lee P. Lim. Their work appears in journals such as Nature, Cancer Research and Plant Cell & Environment.

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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