Ying Liang

5.3k citations
170 papers · 4.1k indexed · h-index 37
Topics
RNA modifications and cancer (20 papers)Cancer-related molecular mechanisms research (12 papers)Peptidase Inhibition and Analysis (11 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Ying Liang

158 papers receiving 4.0k citations

Peers

Ying Liang
Comparison fields: 5 of 147
  • Molecular Biology 2.3k
  • Oncology 1.2k
  • Cancer Research 1.1k
  • Immunology 618
  • Pulmonary and Respiratory Medicine 416
Replace Pei‐Yi Chu with:
Pei‐Yi Chu Taiwan
Alexander T.H. Wu Taiwan
Yongzhong Wu China
Jessica Wang‐Rodriguez United States
Wei Guo China
Hirofumi Jono Japan
Ang Yuan Taiwan
Xi Kathy Zhou United States
Yao Liu China
Shoichi Hazama Japan
Ying Liang relative to Pei‐Yi Chu Taiwan Pei‐Yi Chu's profile →
Citations per field
00.5×1.5×
Pei‐Yi Chu · 1×
Citations per year

Countries citing papers authored by Ying Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Liang. A scholar is included among the top collaborators of Ying 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 Ying Liang. Ying 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 1
4 0
5 0
6 1
7 5
8 1
9 2
10 13
11 42
12
MiR-34a Inhibits Cell Proliferation and Induces Apoptosis in Human Nasopharyngeal Carcinoma by Targeting lncRNA MCM3AP-AS1
1
13 38
14 21
15 38
16 19
17 1
18 50
19
Prevention and treatment on colibacillosis & pullorosis with extracts from Scutellaria baicalensis Georgi in chickens
1
20 197

About Ying Liang

Ying Liang is a scholar working on Cancer Research, Biochemistry and Oncology, having authored 170 papers that have together received 4.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (12 papers) and Peptidase Inhibition and Analysis (11 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.2k citations) and Molecular Biology (2.3k citations). Ying Liang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yu‐Sun Chang, Jau‐Song Yu, Kai‐Ping Chang, Chuen Hsueh, Chih‐Ching Wu, Kwang‐Huei Lin, Lih‐Chyang Chen, Ya‐Hui Huang, Tsann‐Long Hwang and Lang‐Ming Chi. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

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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