Lianghai Wang

1.4k total citations
59 papers, 1.0k citations indexed

About

Lianghai Wang is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Lianghai Wang has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Surgery and 15 papers in Cancer Research. Recurrent topics in Lianghai Wang's work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (11 papers) and Esophageal Cancer Research and Treatment (9 papers). Lianghai Wang is often cited by papers focused on RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (11 papers) and Esophageal Cancer Research and Treatment (9 papers). Lianghai Wang collaborates with scholars based in China, United States and Australia. Lianghai Wang's co-authors include Wen-hai Feng, Jun Hou, Xiaodan Yu, Jianming Hu, Hexiao Zhang, Lijuan Pang, Xue-Kun Guo, Li Gao, Jinfang Jiang and Man Li and has published in prestigious journals such as Nature Communications, PLoS ONE and Oncogene.

In The Last Decade

Lianghai Wang

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianghai Wang China 21 523 313 203 168 152 59 1.0k
Jishan Sun United States 21 467 0.9× 285 0.9× 102 0.5× 90 0.5× 113 0.7× 30 1.1k
Hsin‐Pai Li Taiwan 15 409 0.8× 177 0.6× 128 0.6× 189 1.1× 295 1.9× 29 943
Hervé Lerat France 23 416 0.8× 119 0.4× 69 0.3× 89 0.5× 135 0.9× 37 1.9k
Joachim Lupberger France 19 484 0.9× 104 0.3× 39 0.2× 104 0.6× 136 0.9× 37 1.4k
Wei Jia China 18 459 0.9× 276 0.9× 48 0.2× 84 0.5× 126 0.8× 58 893
Douglas J. Dorahy Australia 17 325 0.6× 100 0.3× 29 0.1× 103 0.6× 144 0.9× 21 911
Irene Kuhn United States 14 444 0.8× 99 0.3× 75 0.4× 63 0.4× 383 2.5× 21 1.0k
Kirsty Moore United Kingdom 9 273 0.5× 178 0.6× 65 0.3× 21 0.1× 178 1.2× 25 1.2k
Maggie Cam United States 18 395 0.8× 165 0.5× 27 0.1× 43 0.3× 287 1.9× 37 1.1k
Mette Munch Denmark 17 340 0.7× 383 1.2× 36 0.2× 128 0.8× 338 2.2× 24 1.3k

Countries citing papers authored by Lianghai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lianghai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lianghai Wang. A scholar is included among the top collaborators of Lianghai Wang 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 Lianghai Wang. Lianghai Wang 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.
Wang, Meiling, et al.. (2024). Manganese improves CD8+ T cell recruitment via cGAS-STING in hepatocellular carcinoma. International Immunopharmacology. 143(Pt 3). 113591–113591. 2 indexed citations
2.
Liu, Chenghao, Xiaofeng Yang, Yang Chen, et al.. (2024). Epigenetically associated IGF2BP3 upregulation promotes cell proliferation by regulating E2F1 expression in hepatocellular carcinoma. Scientific Reports. 14(1). 16051–16051. 7 indexed citations
3.
Ma, Lingbo, Chang Li, Bin Deng, et al.. (2024). MGMT unmethylation and high levels of CD47 and TIGIT indicate a poor prognosis in adult diffuse gliomas. Frontiers in Immunology. 15. 1323307–1323307. 4 indexed citations
4.
Peng, Hao, Min He, Jinxia Li, et al.. (2023). SLC43A2 and NFκB signaling pathway regulate methionine/cystine restriction-induced ferroptosis in esophageal squamous cell carcinoma via a feedback loop. Cell Death and Disease. 14(6). 347–347. 22 indexed citations
5.
Zhang, Xudong, et al.. (2023). Low expression of PINK1 and PARK2 predicts poor prognosis in patients with esophageal squamous cell carcinoma. World Journal of Surgical Oncology. 21(1). 321–321. 3 indexed citations
6.
7.
Xu, Junying, Jun Hou, Lianghai Wang, et al.. (2023). EgCF mediates macrophage polarisation by influencing the glycolytic pathway. Journal of Helminthology. 97. e101–e101. 1 indexed citations
8.
Wang, Xiaopeng, Chun Yang, Xiangwei Wu, et al.. (2023). Echinococcus granulosus cyst fluid inhibits inflammatory responses through inducing histone demethylase KDM5B in macrophages. Parasites & Vectors. 16(1). 321–321. 1 indexed citations
9.
10.
Li, Man, et al.. (2022). Defective expression of C20orf54 in esophageal dysplasia: a possible biomarker of esophageal carcinoma for early detection. World Journal of Surgical Oncology. 20(1). 155–155. 2 indexed citations
11.
Wang, Lianghai, Lisha Zhou, Jun Hou, et al.. (2021). Three novel circRNAs upregulated in tissue and plasma from hepatocellular carcinoma patients and their regulatory network. Cancer Cell International. 21(1). 72–72. 15 indexed citations
12.
Liao, Zhenyu, Lianghai Wang, Yuan Liao, et al.. (2021). A combination of pirfenidone and TGF-β inhibition mitigates cystic echinococcosis-associated hepatic injury. Parasitology. 148(7). 767–778. 7 indexed citations
13.
Zhou, Lisha, Weihua Liang, Jin Meng, et al.. (2021). Epigenetically associated CCL20 upregulation correlates with esophageal cancer progression and immune disorder. Pathology - Research and Practice. 228. 153683–153683. 8 indexed citations
14.
Wang, Lianghai, Fouad Chouairi, Andrew D. Miller, et al.. (2020). Gastric squamous-columnar junction contains a large pool of cancer-prone immature osteopontin responsive Lgr5−CD44+ cells. Nature Communications. 11(1). 84–84. 21 indexed citations
15.
Zhong, Mengya, Yu Liu, Lianghai Wang, et al.. (2020). TNFAIP8 promotes the migration of clear cell renal cell carcinoma by regulating the EMT. Journal of Cancer. 11(10). 3061–3071. 16 indexed citations
16.
Wang, Qian, Dong Liu, Kaige Wang, et al.. (2019). Hypermethylation of miR-34b/c is associated with early clinical stages and tumor differentiation in Kazakh patients with esophageal squamous cell carcinoma.. PubMed Central. 12(8). 3119–3127. 3 indexed citations
17.
Wang, Lianghai, Zhiyu Zhang, Xiaodan Yu, et al.. (2018). Unbalanced YAP–SOX9 circuit drives stemness and malignant progression in esophageal squamous cell carcinoma. Oncogene. 38(12). 2042–2055. 82 indexed citations
18.
Gao, Li, Lianghai Wang, Chen Huang, et al.. (2015). HP-PRRSV is attenuated by de-optimization of codon pair bias in its RNA-dependent RNA polymerase nsp9 gene. Virology. 485. 135–144. 29 indexed citations
19.
Yang, Lan, Ling Chen, Tingting Li, et al.. (2015). Heterozygote of TAP1 Codon637 decreases susceptibility to HPV infection but increases susceptibility to esophageal cancer among the Kazakh populations. Journal of Experimental & Clinical Cancer Research. 34(1). 70–70. 19 indexed citations
20.

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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