Tong Liu

5.4k citations
142 papers · 3.8k indexed · 1 hit paper · h-index 34
Topics
Cancer-related molecular mechanisms research (22 papers)MicroRNA in disease regulation (17 papers)Circular RNAs in diseases (14 papers)

In The Last Decade

Tong Liu

133 papers receiving 3.7k citations

Hit Papers

ALOX12 is required for p53-mediated tumour suppression th...20192026202120232019200400600

Peers

Tong Liu
Comparison fields: 5 of 132
  • Molecular Biology 2.2k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 853
  • Oncology 652
  • Immunology 374
Replace Kwang‐Hee Bae with:
Kwang‐Hee Bae South Korea
Li Li China
Alexander T.H. Wu Taiwan
Gang Wang China
Chunhong Yan United States
Zhangang Xiao China
Yangfu Jiang China
Yue Zhang China
Jiao Liu China
You Mie Lee South Korea
Tong Liu relative to Kwang‐Hee Bae South Korea Kwang‐Hee Bae's profile →
Citations per field
00.5×3.5×
Kwang‐Hee Bae · 1×
Citations per year

Countries citing papers authored by Tong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Liu. A scholar is included among the top collaborators of Tong Liu 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 Tong Liu. Tong Liu 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
3 1
4 4
5 1
6 1
7 2
8 1
9 19
10 2
11 12
12 51
13 14
14 1
15 9
16 6
17 8
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19 23
20
Expression of Caspase-3 and Bcl-2 Protein in Epithelial Ovarian Tumor and Relation of The Expression with Cell Apoptosis and Proliferation
2

About Tong Liu

Tong Liu is a scholar working on Cancer Research, Oncology and Immunology, having authored 142 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (22 papers), MicroRNA in disease regulation (17 papers) and Circular RNAs in diseases (14 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.2k citations) and Pulmonary and Respiratory Medicine (853 citations). Tong Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Omid Tavana, Ning Kon, Delin Chen, Bo Chu, Wei Gu, Le Jiang, Tongyuan Li, Da Pang, Hong Li and Xianyu Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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