Weijiang Liang

882 total citations
23 papers, 639 citations indexed

About

Weijiang Liang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Weijiang Liang has authored 23 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Weijiang Liang's work include Inflammatory Biomarkers in Disease Prognosis (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Family Support in Illness (3 papers). Weijiang Liang is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Family Support in Illness (3 papers). Weijiang Liang collaborates with scholars based in China, Macao and United Kingdom. Weijiang Liang's co-authors include Weiwei Zhang, Guolin Hu, Bin Ye, Yazhou Ren, Hengwen Sun, Bin Zhang, Feifei Xu, Jialü Zhang, Hongmei Wang and Yuan Yang and has published in prestigious journals such as Gut, Scientific Reports and Journal of Psychosomatic Research.

In The Last Decade

Weijiang Liang

23 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijiang Liang China 12 357 175 145 105 90 23 639
Matthias W. Beckmann Germany 17 394 1.1× 415 2.4× 224 1.5× 87 0.8× 95 1.1× 51 1.2k
Philip D. Poorvu United States 15 345 1.0× 66 0.4× 179 1.2× 133 1.3× 104 1.2× 44 718
Holli A. Loomans‐Kropp United States 20 303 0.8× 426 2.4× 237 1.6× 126 1.2× 73 0.8× 41 968
Shulamith Rizel Israel 18 526 1.5× 273 1.6× 418 2.9× 206 2.0× 50 0.6× 46 1.2k
Valérie Bonadona France 6 414 1.2× 126 0.7× 292 2.0× 43 0.4× 34 0.4× 11 947
Álvaro Pinto Spain 15 449 1.3× 163 0.9× 149 1.0× 212 2.0× 68 0.8× 80 827
Laurence Vanlemmens France 15 675 1.9× 169 1.0× 244 1.7× 198 1.9× 91 1.0× 70 961
Pascaline Berthet France 15 425 1.2× 403 2.3× 196 1.4× 253 2.4× 71 0.8× 34 1.2k
Stephen J. Lemon United States 14 617 1.7× 154 0.9× 333 2.3× 92 0.9× 112 1.2× 40 1.4k
Michaela Onstad United States 10 304 0.9× 158 0.9× 177 1.2× 50 0.5× 19 0.2× 24 736

Countries citing papers authored by Weijiang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Weijiang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijiang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Weijiang Liang. A scholar is included among the top collaborators of Weijiang 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 Weijiang Liang. Weijiang Liang 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.
2.
Liang, Weijiang, et al.. (2021). [Indications, selection, and effect of flap application in repairing scar carcinoma in the lower leg and ankle].. PubMed. 37(4). 363–368. 1 indexed citations
3.
Zhang, Yongfu, Hengwen Sun, Zhihui Sun, et al.. (2019). Chinese version of fear of cancer recurrence questionnaire for cancer patients: a preliminary study. 5(3). 157–163. 1 indexed citations
4.
Yang, Yuan, Hengwen Sun, Ting Liu, et al.. (2018). Factors associated with fear of progression in chinese cancer patients: sociodemographic, clinical and psychological variables. Journal of Psychosomatic Research. 114. 18–24. 49 indexed citations
5.
Hu, Guolin, Jialü Zhang, Feifei Xu, et al.. (2018). Stomatin‐like protein 2 inhibits cisplatin‐induced apoptosis through MEK/ERK signaling and the mitochondrial apoptosis pathway in cervical cancer cells. Cancer Science. 109(5). 1357–1368. 32 indexed citations
6.
Zhang, Jialü, et al.. (2018). [Silencing of SLP-2 inhibits the migration and invasion of cervical cancer cells in vitro].. PubMed. 38(7). 812–817. 1 indexed citations
7.
Xu, Feifei, Jialü Zhang, Guolin Hu, Lei Liu, & Weijiang Liang. (2017). Hypoxia and TGF-β1 induced PLOD2 expression improve the migration and invasion of cervical cancer cells by promoting epithelial-to-mesenchymal transition (EMT) and focal adhesion formation. Cancer Cell International. 17(1). 54–54. 65 indexed citations
8.
Zhang, Weiwei, Kejun Liu, Bin Ye, et al.. (2017). Clinical and biological effects of tumor-associated lymphocytes in the presence or absence of chemotherapy for malignant ascites in ovarian cancer patients. Oncology Letters. 14(3). 3379–3386. 2 indexed citations
9.
Zhang, Weiwei, Bin Ye, Weijiang Liang, & Yazhou Ren. (2017). Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer. Scientific Reports. 7(1). 9548–9548. 62 indexed citations
10.
Zhang, Weiwei, Kejun Liu, Bin Ye, Weijiang Liang, & Yazhou Ren. (2017). Pretreatment C‐reactive protein/albumin ratio is associated with poor survival in patients with stage IB‐IIA cervical cancer. Cancer Medicine. 7(1). 105–113. 40 indexed citations
11.
Deng, Huan, Yong‐Jian Deng, Feiye Liu, et al.. (2017). Stomatin‑like protein 2 is overexpressed in cervical cancer and involved in tumor cell apoptosis. Oncology Letters. 14(6). 6355–6364. 11 indexed citations
12.
13.
Hu, Guolin, Guangyu Yao, Huan Deng, et al.. (2015). [Overexpression of STOML-2 inhibits apoptosis of human cervical squamous carcinoma Siha cells in vitro].. PubMed. 35(9). 1293–6. 1 indexed citations
14.
Liu, Liping, Chuyong Lin, Weijiang Liang, et al.. (2014). TBL1XR1 promotes lymphangiogenesis and lymphatic metastasis in esophageal squamous cell carcinoma. Gut. 64(1). 26–36. 85 indexed citations
15.
Zhao, Kelei, Huan Deng, Yan Qin, Wenjun Liao, & Weijiang Liang. (2014). Prognostic Significance of Pretreatment Plasma Fibrinogen and Platelet Levels in Patients with Early-Stage Cervical Cancer. Gynecologic and Obstetric Investigation. 79(1). 25–33. 36 indexed citations
16.
Li, Xinghua, Weijiang Liang, Junling Liu, et al.. (2014). Transducin (β)-like 1 X-linked receptor 1 promotes proliferation and tumorigenicity in human breast cancer via activation of beta-catenin signaling. Breast Cancer Research. 16(5). 465–465. 28 indexed citations
17.
Chen, Jianguang, et al.. (2009). [Proteinchip-flight mass spectrometry for screening differentially expressed proteins in the serum of cervical cancer patients].. PubMed. 29(1). 32–5. 1 indexed citations
18.
Liang, Weijiang, et al.. (2008). Expression of transforming growth factor α and Cyclin E and their correlation in chronic gastric lesion tissues from patients with different TCM types. World Chinese Journal of Digestology. 16(12). 1355–1355. 1 indexed citations
19.
Liang, Weijiang, et al.. (2008). Expression of transforming growth factor α and Cyclin E and their correlation in chronic gastric lesion tissues from patients with different TCM types. World Chinese Journal of Digestology. 16(12). 1355–1355. 1 indexed citations
20.
Lawrence, William, Beth N. Peshkin, Weijiang Liang, et al.. (2001). Cost of genetic counseling and testing for BRCA1 and BRCA2 breast cancer susceptibility mutations.. PubMed. 10(5). 475–81. 44 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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