Wan-Li Liu

1.5k total citations
18 papers, 868 citations indexed

About

Wan-Li Liu is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Wan-Li Liu has authored 18 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Wan-Li Liu's work include Peptidase Inhibition and Analysis (4 papers), Viral-associated cancers and disorders (3 papers) and Galectins and Cancer Biology (3 papers). Wan-Li Liu is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Viral-associated cancers and disorders (3 papers) and Galectins and Cancer Biology (3 papers). Wan-Li Liu collaborates with scholars based in China, United States and Hong Kong. Wan-Li Liu's co-authors include Mu‐Sheng Zeng, Man-Zhi Li, Wen-Lin Huang, Li-Bing Song, Ling Zhang, Wenting Liao, Yi-Xin Zeng, Yun-Fei Xia, Hao-Yuan Mo and Jian‐Yong Shao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Wan-Li Liu

18 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wan-Li Liu China	14	507	342	172	166	111	18	868
Ran-Yi Liu China	18	487 1.0×	298 0.9×	242 1.4×	130 0.8×	47 0.4×	26	882
Beihai Jiang China	21	720 1.4×	426 1.2×	312 1.8×	149 0.9×	92 0.8×	58	1.2k
Sarah J. Hill United States	11	805 1.6×	391 1.1×	111 0.6×	136 0.8×	65 0.6×	36	1.2k
Guangwu Huang China	19	597 1.2×	237 0.7×	310 1.8×	90 0.5×	66 0.6×	43	918
Thomas Heiden Sweden	16	473 0.9×	334 1.0×	121 0.7×	169 1.0×	114 1.0×	28	1.0k
Shi-Juan Mai China	16	690 1.4×	242 0.7×	306 1.8×	90 0.5×	55 0.5×	19	981
Alessandra Gentile Italy	16	618 1.2×	316 0.9×	140 0.8×	88 0.5×	77 0.7×	28	1.0k
Leander Blaas Austria	12	496 1.0×	320 0.9×	79 0.5×	82 0.5×	74 0.7×	17	805
I.-M. Shih United States	11	343 0.7×	182 0.5×	105 0.6×	232 1.4×	51 0.5×	15	768
Sandra van Wilpe Netherlands	12	611 1.2×	364 1.1×	90 0.5×	135 0.8×	127 1.1×	25	1.2k

Countries citing papers authored by Wan-Li Liu

Since Specialization

Citations

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

Fields of papers citing papers by Wan-Li Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wan-Li Liu

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

All Works

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18 of 18 papers shown

Xue, Ning, Shan Xing, Dan Liu, et al.. (2018). Plasma Macrophage Migration Inhibitory Factor and CCL3 as Potential Biomarkers for Distinguishing Patients with Nasopharyngeal Carcinoma from High-Risk Individuals Who Have Positive Epstein-Barr Virus Capsid Antigen-Specific IgA. Cancer Research and Treatment. 51(1). 378–390. 2 indexed citations

Xing, Shan, Xin Zheng, Tao Zeng, et al.. (2017). Chitinase 3-like 1 secreted by peritumoral macrophages in esophageal squamous cell carcinoma is a favorable prognostic factor for survival. World Journal of Gastroenterology. 23(43). 7693–7704. 8 indexed citations

Du, Yong, Lin-Quan Tang, Hua Zhang, et al.. (2016). Antibodies Against Epstein-Barr Virus Glycoprotein gp42 for the Diagnosis of Nasopharyngeal Carcinoma. Clinical Laboratory. 62(04/2016). 553–61. 3 indexed citations

Liu, Yanyan, Yuanyuan Chen, Lin-Quan Tang, et al.. (2016). High-density lipoprotein cholesterol as a predictor of poor survival in patients with nasopharyngeal carcinoma. Oncotarget. 7(28). 42978–42987. 27 indexed citations

Du, Yong, Lin-Quan Tang, Hua Zhang, et al.. (2016). Epstein-Barr virus glycoprotein gH/gL antibodies complement IgA-viral capsid antigen for diagnosis of nasopharyngeal carcinoma. Oncotarget. 7(13). 16372–16383. 5 indexed citations

Zhang, Ge, Ying Jiang, Dan Liu, et al.. (2015). The prognostic value of serum C-reactive protein-bound serum amyloid A in early-stage lung cancer. Chinese Journal of Cancer. 34(3). 335–49. 21 indexed citations

Wang, Hongbo, Hua Zhang, Jing‐Ping Zhang, et al.. (2015). Neuropilin 1 is an entry factor that promotes EBV infection of nasopharyngeal epithelial cells. Nature Communications. 6(1). 6240–6240. 154 indexed citations

Xiong, Dan, Yong Du, Hongbo Wang, et al.. (2015). Nonmuscle myosin heavy chain IIA mediates Epstein–Barr virus infection of nasopharyngeal epithelial cells. Proceedings of the National Academy of Sciences. 112(35). 11036–11041. 64 indexed citations

Zheng, Xin, Shan Xing, Wen Liu, et al.. (2014). Establishment of using serum YKL-40 and SCCA in combination for the diagnosis of patients with esophageal squamous cell carcinoma. BMC Cancer. 14(1). 490–490. 37 indexed citations

10.

Zhang, Lin, Gang Ma, Shi-Ping Chen, et al.. (2013). The expressions of MIF and CXCR4 protein in tumor microenvironment are adverse prognostic factors in patients with esophageal squamous cell carcinoma. Journal of Translational Medicine. 11(1). 40 indexed citations

11.

Liu, Wan-Li, et al.. (2010). Sequencing of DC-SIGN promoter indicates an association between promoter variation and risk of nasopharyngeal carcinoma in cantonese. BMC Medical Genetics. 11(1). 161–161. 18 indexed citations

12.

Dong, Jun, Li-Hua Xu, Junye Wang, et al.. (2010). Anti-CDC25B autoantibody predicts poor prognosis in patients with advanced esophageal squamous cell carcinoma. Journal of Translational Medicine. 8(1). 81–81. 41 indexed citations

13.

Liu, Wan-Li, Lan-Jun Zhang, Junye Wang, et al.. (2010). Prognostic relevance of Bmi-1 expression and autoantibodies in esophageal squamous cell carcinoma. BMC Cancer. 10(1). 467–467. 39 indexed citations

14.

Pan, Ke, Hui Wang, Wan-Li Liu, et al.. (2008). The pivotal role of p38 and NF-κB signal pathways in the maturation of human monocyte-derived dendritic cells stimulated by streptococcal agent OK-432. Immunobiology. 214(5). 350–358. 16 indexed citations

15.

Zhang, Ge, et al.. (2008). Prognostic relevance of Centromere protein H expression in esophageal carcinoma. BMC Cancer. 8(1). 233–233. 32 indexed citations

16.

Liu, Wan-Li, Ge Zhang, Junye Wang, et al.. (2008). Proteomics-based identification of autoantibody against CDC25B as a novel serum marker in esophageal squamous cell carcinoma. Biochemical and Biophysical Research Communications. 375(3). 440–445. 29 indexed citations

17.

Liao, Wenting, Li-Bing Song, Hui-Zhong Zhang, et al.. (2007). Centromere Protein H Is a Novel Prognostic Marker for Nasopharyngeal Carcinoma Progression and Overall Patient Survival. Clinical Cancer Research. 13(2). 508–514. 49 indexed citations

18.

Song, Li-Bing, Mu‐Sheng Zeng, Wenting Liao, et al.. (2006). Bmi-1 Is a Novel Molecular Marker of Nasopharyngeal Carcinoma Progression and Immortalizes Primary Human Nasopharyngeal Epithelial Cells. Cancer Research. 66(12). 6225–6232. 283 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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