Liang Ouyang

10.3k citations
191 papers · 7.7k indexed · 2 hit papers · h-index 49
Topics
Autophagy in Disease and Therapy (38 papers)Protein Degradation and Inhibitors (22 papers)Computational Drug Discovery Methods (15 papers)
Partner nations
ChinaUnited StatesPoland

In The Last Decade

Liang Ouyang

184 papers receiving 7.6k citations

Hit Papers

Programmed cell death pathways in cancer: a review of apo...2012202620162021201220242505007501000

Peers

Liang Ouyang
Comparison fields: 5 of 151
  • Molecular Biology 4.4k
  • Epidemiology 1.3k
  • Organic Chemistry 1.2k
  • Oncology 1.1k
  • Cancer Research 720
Replace Sujit K. Bhutia with:
Sujit K. Bhutia India
Bo Yang China
Dunyaporn Trachootham Thailand
Xinbing Sui China
Atsushi Matsuzawa Japan
Jiřı́ Neužil Australia
Na Lu China
Chiara Riganti Italy
Feng Liu China
Sara Rodríguez‐Enríquez Mexico
Liang Ouyang relative to Sujit K. Bhutia India Sujit K. Bhutia's profile →
Citations per field
00.5×2.9×
Sujit K. Bhutia · 1×
Citations per year

Countries citing papers authored by Liang Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ouyang. A scholar is included among the top collaborators of Liang Ouyang 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 Liang Ouyang. Liang Ouyang 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 0
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6 2
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10 21
11 12
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13 36
14 9
15 51
16 48
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Anticancer activity of 1, 25-(OH)2D3 against human breast cancer cell lines by targeting Ras/MEK/ERK pathway
1
18
[Autophagy pathways and key drug targets in Parkinson's disease].
3
19 23
20
Effect of Boron Nitride Support on Catalytic Activity of Ru-Ba/BN for Ammonia Synthesis
5

About Liang Ouyang

Liang Ouyang is a scholar working on Physiology, Molecular Biology and Oncology, having authored 191 papers that have together received 7.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (38 papers), Protein Degradation and Inhibitors (22 papers) and Computational Drug Discovery Methods (15 papers). The work is most often cited by research in Geriatrics and Gerontology (248 citations), Molecular Biology (4.4k citations) and Physiology (260 citations). Liang Ouyang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Guan Wang, Bo Liu, Jifa Zhang, Fang Wang, Ji Bao, Zhihong Shi, Shenglin Zhao, B. Liu, Tingting Zhou and Lan Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

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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