Linquan Wu

1.0k total citations
34 papers, 714 citations indexed

About

Linquan Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Linquan Wu has authored 34 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Linquan Wu's work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer-related molecular mechanisms research (6 papers) and Ferroptosis and cancer prognosis (5 papers). Linquan Wu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer-related molecular mechanisms research (6 papers) and Ferroptosis and cancer prognosis (5 papers). Linquan Wu collaborates with scholars based in China and Japan. Linquan Wu's co-authors include Wenjun Liao, Qian Feng, Enliang Li, Jun Lei, Jiakun Wang, Jun Gao, Rongfa Yuan, Chengwu Gong, Jianghua Shao and Xin Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Linquan Wu

33 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linquan Wu China 15 460 311 167 144 77 34 714
Ming Quan China 18 584 1.3× 264 0.8× 200 1.2× 101 0.7× 59 0.8× 37 799
Karthik Sekar Singapore 13 497 1.1× 305 1.0× 115 0.7× 204 1.4× 56 0.7× 17 720
Su-Su Zheng China 14 304 0.7× 253 0.8× 284 1.7× 180 1.3× 73 0.9× 30 746
Huawei Zou China 16 403 0.9× 322 1.0× 244 1.5× 163 1.1× 43 0.6× 36 710
Fanghui Ren China 15 504 1.1× 458 1.5× 141 0.8× 76 0.5× 49 0.6× 20 805
Zhiming Wang China 15 402 0.9× 320 1.0× 154 0.9× 80 0.6× 35 0.5× 32 638
Jinjia Chang China 15 430 0.9× 284 0.9× 279 1.7× 161 1.1× 72 0.9× 31 740
Jeanie Wu Singapore 13 552 1.2× 258 0.8× 218 1.3× 149 1.0× 76 1.0× 14 904
Jian‐Yang Ao China 13 328 0.7× 234 0.8× 179 1.1× 79 0.5× 202 2.6× 25 665
Yanjie Xu China 14 493 1.1× 474 1.5× 248 1.5× 97 0.7× 141 1.8× 21 839

Countries citing papers authored by Linquan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Linquan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linquan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Linquan Wu. A scholar is included among the top collaborators of Linquan Wu 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 Linquan Wu. Linquan Wu 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
1.
Li, Enliang, Zhi-Ming Shao, Jiayan Mao, et al.. (2025). METTL3-mediated TUG1 regulation of miR-9 in doxorubicin resistance in HCC. Life Sciences. 378. 123832–123832.
2.
Liu, Weiwei, et al.. (2023). LncTUG1 promotes hepatocellular carcinoma immune evasion via upregulating PD-L1 expression. Scientific Reports. 13(1). 16998–16998. 9 indexed citations
3.
Huang, Zhihao, Jiakun Wang, Min Li, et al.. (2023). Pancreatic adenosquamous carcinoma: A population level analysis of epidemiological trends and prognosis. Cancer Medicine. 12(8). 9926–9936. 11 indexed citations
4.
5.
Feng, Qian, Hongcheng Lu, & Linquan Wu. (2023). Identification of M2-like macrophage-related signature for predicting the prognosis, ecosystem and immunotherapy response in hepatocellular carcinoma. PLoS ONE. 18(9). e0291645–e0291645. 8 indexed citations
6.
7.
Huang, Zhihao, et al.. (2022). Identification of a Necroptosis-Related Prognostic Signature and Associated Regulatory Axis in Liver Hepatocellular Carcinoma. Disease Markers. 2022. 1–20. 4 indexed citations
8.
Xiong, Jianghui, Ping Hou, Jiakun Wang, et al.. (2022). Comprehensive analysis of the effects of KIF2C on prognosis, biological functions and immune infiltration in PAAD. Tissue and Cell. 78. 101900–101900. 3 indexed citations
9.
Wang, Jiakun, et al.. (2022). NCAPG promotes the proliferation of hepatocellular carcinoma through the CKII-dependent regulation of PTEN. Journal of Translational Medicine. 20(1). 325–325. 12 indexed citations
10.
Huang, Zhihao, Jiakun Wang, Qian Feng, et al.. (2021). Laparoscopic versus open major liver resection for hepatocellular carcinoma: A case-matched analysis of short- and long-term outcomes. Open Medicine. 16(1). 964–972. 3 indexed citations
11.
Liu, Weiwei, Qian Feng, Wenjun Liao, Enliang Li, & Linquan Wu. (2021). TUG1 promotes the expression of IFITM3 in hepatocellular carcinoma by competitively binding to miR-29a. Journal of Cancer. 12(22). 6905–6920. 10 indexed citations
12.
Lu, Hongcheng, Linquan Wu, Rongfa Yuan, et al.. (2021). Modified median hepatic fissure approach for resection of liver tumours located in the angle between the root of the middle and right hepatic veins. BMC Surgery. 21(1). 410–410. 2 indexed citations
13.
Liang, Yuxin, Guofei Feng, Linquan Wu, et al.. (2019). Caffeic acid phenethyl ester suppressed growth and metastasis of nasopharyngeal carcinoma cells by inactivating the NF-κB pathway. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Gong, Chengwu, Junjun Wu, Jun Gao, et al.. (2019). <p>MicroRNA-181c suppresses growth and metastasis of hepatocellular carcinoma by modulating NCAPG</p>. Cancer Management and Research. Volume 11. 3455–3467. 28 indexed citations
15.
Wang, Jiakun, Enliang Li, Hao Yang, et al.. (2019). Combined hepatocellular-cholangiocarcinoma: a population level analysis of incidence and mortality trends. World Journal of Surgical Oncology. 17(1). 43–43. 30 indexed citations
16.
Liang, Bo, Hongliang Liu, Xiangbao Yin, et al.. (2017). Overexpression of non-SMC condensin I complex subunit G serves as a promising prognostic marker and therapeutic target for hepatocellular carcinoma. International Journal of Molecular Medicine. 40(3). 731–738. 47 indexed citations
17.
Liang, Bo, Wenjuan Zheng, Fang Lü, et al.. (2016). Overexpressed targeting protein for Xklp2 (TPX2) serves as a promising prognostic marker and therapeutic target for gastric cancer. Cancer Biology & Therapy. 17(8). 824–832. 34 indexed citations
18.
Wang, Kai, Susumu Eguchi, Masaaki Hidaka, et al.. (2016). Comparison of the outcomes of hepatocellular carcinoma after hepatectomy between two regional medical centers in China and Japan. Asian Journal of Surgery. 40(5). 380–388. 3 indexed citations
19.
Yuan, Rongfa, Kai Wang, Junwen Hu, et al.. (2014). Ubiquitin-like Protein FAT10 Promotes the Invasion and Metastasis of Hepatocellular Carcinoma by Modifying β-Catenin Degradation. Cancer Research. 74(18). 5287–5300. 99 indexed citations
20.
Liu, Tiande, Xin Yu, Guohui Li, et al.. (2012). Rock2 regulates Cdc25A through ubiquitin proteasome system in hepatocellular carcinoma cells. Experimental Cell Research. 318(16). 1994–2003. 34 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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