Tu-Liang Liang

405 total citations
10 papers, 253 citations indexed

About

Tu-Liang Liang is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Tu-Liang Liang has authored 10 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Cell Biology. Recurrent topics in Tu-Liang Liang's work include Cancer, Hypoxia, and Metabolism (3 papers), Andrographolide Research and Applications (2 papers) and Autophagy in Disease and Therapy (2 papers). Tu-Liang Liang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Andrographolide Research and Applications (2 papers) and Autophagy in Disease and Therapy (2 papers). Tu-Liang Liang collaborates with scholars based in China, Macao and Germany. Tu-Liang Liang's co-authors include Elaine Lai‐Han Leung, Xuan‐Run Wang, Qibiao Wu, Jiaxin Li, Wei-Yu Meng, Hudan Pan, Peiyu Yan, Runze Li, Xiaojun Yao and Zebo Jiang and has published in prestigious journals such as Pharmacological Research, Frontiers in Oncology and Phytomedicine.

In The Last Decade

Tu-Liang Liang

10 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tu-Liang Liang China 7 122 49 45 37 37 10 253
Lili Zhu China 10 104 0.9× 33 0.7× 35 0.8× 30 0.8× 27 0.7× 25 250
Weitian Wei China 8 170 1.4× 54 1.1× 44 1.0× 24 0.6× 34 0.9× 11 389
Fanqin Zhang China 9 125 1.0× 62 1.3× 45 1.0× 63 1.7× 26 0.7× 20 229
Qian Zuo China 10 206 1.7× 78 1.6× 72 1.6× 56 1.5× 35 0.9× 14 352
Zhang Li China 7 142 1.2× 52 1.1× 58 1.3× 65 1.8× 41 1.1× 52 317
Elmira Mohtashami Iran 11 174 1.4× 60 1.2× 52 1.2× 32 0.9× 21 0.6× 13 355
Zhenyu Zhou China 10 190 1.6× 99 2.0× 43 1.0× 29 0.8× 47 1.3× 14 333
Kunmin Xiao China 7 144 1.2× 50 1.0× 46 1.0× 20 0.5× 34 0.9× 10 273
Jun‐Kui Li Hong Kong 11 170 1.4× 42 0.9× 67 1.5× 20 0.5× 55 1.5× 16 334
Junli Zhang China 10 117 1.0× 44 0.9× 40 0.9× 37 1.0× 54 1.5× 27 269

Countries citing papers authored by Tu-Liang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Tu-Liang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tu-Liang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Tu-Liang Liang. A scholar is included among the top collaborators of Tu-Liang 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 Tu-Liang Liang. Tu-Liang Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Zhou, Na, Menglin Jiang, Tu-Liang Liang, et al.. (2025). Immunometabolism and oxidative stress: roles and therapeutic strategies in cancer and aging. PubMed. 11(1). 59–59. 3 indexed citations
2.
Liang, Tu-Liang, Ying Chen, Ningning Zhou, et al.. (2025). Taurine and proline promote lung tumour growth by co-regulating Azgp1/mTOR signalling pathway. npj Precision Oncology. 9(1). 90–90. 1 indexed citations
3.
Liang, Tu-Liang, Hudan Pan, Peiyu Yan, et al.. (2024). Serum taurine affects lung cancer progression by regulating tumor immune escape mediated by the immune microenvironment. Journal of Advanced Research. 73. 427–442. 7 indexed citations
4.
Wang, Jian, Wenjun Wang, Lee‐Fong Yau, et al.. (2023). CERS4 predicts positive anti-PD-1 response and promotes immunomodulation through Rhob-mediated suppression of CD8+Tim3+ exhausted T cells in non-small cell lung cancer. Pharmacological Research. 194. 106850–106850. 13 indexed citations
5.
Wang, Xuan‐Run, Zebo Jiang, Cong Xu, et al.. (2022). Andrographolide suppresses non-small-cell lung cancer progression through induction of autophagy and antitumor immune response. Pharmacological Research. 179. 106198–106198. 54 indexed citations
6.
Li, Runze, Xuan‐Run Wang, Jian Wang, et al.. (2022). The key role of sphingolipid metabolism in cancer: New therapeutic targets, diagnostic and prognostic values, and anti-tumor immunotherapy resistance. Frontiers in Oncology. 12. 941643–941643. 56 indexed citations
7.
Wang, Xuan‐Run, Zebo Jiang, Cong Xu, et al.. (2022). Andrographolide Suppresses Non-Small-Cell Lung Cancer Progression Through Induction of Autophagy and Antitumor Immune Response. SSRN Electronic Journal. 4 indexed citations
8.
9.
Liang, Tu-Liang, Runze Li, Chu-Tian Mai, et al.. (2021). A method establishment and comparison of in vivo lung cancer model development platforms for evaluation of tumour metabolism and pharmaceutical efficacy. Phytomedicine. 96. 153831–153831. 7 indexed citations
10.
Li, Runze, Cong Xu, Xing‐Xing Fan, et al.. (2021). Emodin induces apoptosis and suppresses non-small-cell lung cancer growth via downregulation of sPLA2-IIa. Phytomedicine. 95. 153786–153786. 41 indexed citations

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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