Guikai Liang

815 total citations
10 papers, 638 citations indexed

About

Guikai Liang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Guikai Liang has authored 10 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Guikai Liang's work include Immune cells in cancer (6 papers), Epigenetics and DNA Methylation (4 papers) and Histone Deacetylase Inhibitors Research (3 papers). Guikai Liang is often cited by papers focused on Immune cells in cancer (6 papers), Epigenetics and DNA Methylation (4 papers) and Histone Deacetylase Inhibitors Research (3 papers). Guikai Liang collaborates with scholars based in China. Guikai Liang's co-authors include Ling Ding, Bo Yang, Qiaojun He, Jieqiong Zhang, Honghai Wu, Muhammad Tariq, Zhangting Yao, Xi Chen, Xiaqing Xu and Huihui Chen and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cancer Letters and Journal of Cellular Biochemistry.

In The Last Decade

Guikai Liang

10 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guikai Liang China 8 328 298 271 121 79 10 638
Xin Jing China 12 305 0.9× 135 0.5× 173 0.6× 106 0.9× 56 0.7× 28 554
Kuntal Kanti Goswami India 12 252 0.8× 344 1.2× 202 0.7× 93 0.8× 53 0.7× 16 619
Xiaoqing Tian China 14 382 1.2× 128 0.4× 173 0.6× 149 1.2× 64 0.8× 24 621
Mingjing Shen China 12 308 0.9× 183 0.6× 253 0.9× 175 1.4× 100 1.3× 29 656
Shangke Huang China 13 421 1.3× 110 0.4× 274 1.0× 244 2.0× 69 0.9× 28 743
Jinxue Zhou China 16 326 1.0× 274 0.9× 271 1.0× 220 1.8× 94 1.2× 32 744
Natasha K. Brockwell Australia 5 209 0.6× 194 0.7× 283 1.0× 101 0.8× 97 1.2× 6 585

Countries citing papers authored by Guikai Liang

Since Specialization
Citations

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

Fields of papers citing papers by Guikai Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guikai Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Guikai Liang. A scholar is included among the top collaborators of Guikai 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 Guikai Liang. Guikai 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.
Ding, Ling, Xi Chen, Xiaqing Xu, et al.. (2018). PARP1 Suppresses the Transcription of PD-L1 by Poly(ADP-Ribosyl)ating STAT3. Cancer Immunology Research. 7(1). 136–149. 98 indexed citations
2.
Yao, Zhangting, Jieqiong Zhang, Bo Zhang, et al.. (2018). Imatinib prevents lung cancer metastasis by inhibiting M2-like polarization of macrophages. Pharmacological Research. 133. 121–131. 88 indexed citations
3.
Cheng, Shuyuan, et al.. (2018). Celastrol inhibits cancer metastasis by suppressing M2-like polarization of macrophages. Biochemical and Biophysical Research Communications. 503(2). 414–419. 48 indexed citations
4.
Tariq, Muhammad, Jieqiong Zhang, Guikai Liang, et al.. (2017). Gefitinib inhibits M2-like polarization of tumor-associated macrophages in Lewis lung cancer by targeting the STAT6 signaling pathway. Acta Pharmacologica Sinica. 38(11). 1501–1511. 100 indexed citations
5.
Tariq, Muhammad, Jieqiong Zhang, Guikai Liang, et al.. (2017). Macrophage Polarization: Anti-Cancer Strategies to Target Tumor-Associated Macrophage in Breast Cancer. Journal of Cellular Biochemistry. 118(9). 2484–2501. 141 indexed citations
6.
Liang, Guikai, Zhangting Yao, Duoduo Wang, et al.. (2015). Resistance of SMMC-7721 hepatoma cells to etoposide in hypoxia is reversed by VEGF inhibitor. Molecular Medicine Reports. 11(5). 3842–3847. 4 indexed citations
7.
Ding, Ling, Guikai Liang, Zhangting Yao, et al.. (2015). Metformin prevents cancer metastasis by inhibiting M2-like polarization of tumor associated macrophages. Oncotarget. 6(34). 36441–36455. 130 indexed citations
8.
Zhang, Jieqiong, Zhangting Yao, Guikai Liang, et al.. (2015). [Combination of lapatinib with chlorogenic acid inhibits breast cancer metastasis by suppressing macrophage M2 polarization].. PubMed. 44(5). 493–9. 8 indexed citations
9.
Liang, Guikai, Zhangting Yao, Jieqiong Zhang, et al.. (2015). [Statins enhance anti-tumor effect of suberoylanilide hydroxamic acid on human non-small cell lung carcinoma cells].. PubMed. 44(5). 500–5. 1 indexed citations
10.
Ding, Ling, Ziyi Zhang, Guikai Liang, et al.. (2014). SAHA triggered MET activation contributes to SAHA tolerance in solid cancer cells. Cancer Letters. 356(2). 828–836. 20 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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