Wen An

440 total citations
16 papers, 309 citations indexed

About

Wen An is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wen An has authored 16 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wen An's work include Cancer-related molecular mechanisms research (4 papers), Gastric Cancer Management and Outcomes (4 papers) and MicroRNA in disease regulation (3 papers). Wen An is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Gastric Cancer Management and Outcomes (4 papers) and MicroRNA in disease regulation (3 papers). Wen An collaborates with scholars based in China. Wen An's co-authors include Siwei Pan, Yuen Tan, Huimian Xu, Wenfeng Cao, Yunsheng Yang, Yanmei Wang, Mingyue Wang, Lingjuan Li, Qingchuan Chen and Xing Yao and has published in prestigious journals such as Theranostics, Frontiers in Pharmacology and Biomedicine & Pharmacotherapy.

In The Last Decade

Wen An

14 papers receiving 307 citations

Peers

Wen An
Enduo Qiu China
Wen An
Citations per year, relative to Wen An Wen An (= 1×) peers Enduo Qiu

Countries citing papers authored by Wen An

Since Specialization
Citations

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

Fields of papers citing papers by Wen An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen An

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

All Works

16 of 16 papers shown
1.
He, Wei, Shuai Yang, Chengsi Li, et al.. (2025). A novel minimally invasive technique for the treatment of tibial plateau collapse fracture: radiological and arthroscopic evaluation. International Orthopaedics. 49(5). 1235–1243.
2.
An, Wen, et al.. (2024). Three-dimensional mapping of necrotic lesions for early-stage osteonecrosis of the femoral head. Journal of Orthopaedic Surgery and Research. 19(1). 577–577.
3.
Yang, Yanjiang, Xiaodong Cheng, Wei Chen, et al.. (2024). Partial femoral head replacement: a new innovative hip-preserving approach for treating osteonecrosis of the femoral head and its finite element analysis. Frontiers in Bioengineering and Biotechnology. 12. 1352882–1352882. 3 indexed citations
4.
Pan, Siwei, Jiaming Zhu, Pengfei Liu, et al.. (2023). FN1 mRNA 3'-UTR supersedes traditional fibronectin 1 in facilitating the invasion and metastasis of gastric cancer through the FN1 3'-UTR-let-7i-5p-THBS1 axis. Theranostics. 13(14). 5130–5150. 17 indexed citations
5.
Tan, Yuen, Qingchuan Chen, Siwei Pan, et al.. (2022). LMOD1, an oncogene associated with Lauren classification, regulates the metastasis of gastric cancer cells through the FAK-AKT/mTOR pathway. BMC Cancer. 22(1). 474–474. 10 indexed citations
6.
Zhang, Chao, Shutao Zhao, Yuen Tan, et al.. (2022). The SKA3-DUSP2 Axis Promotes Gastric Cancer Tumorigenesis and Epithelial-Mesenchymal Transition by Activating the MAPK/ERK Pathway. Frontiers in Pharmacology. 13. 777612–777612. 10 indexed citations
7.
Chen, Qingchuan, Yuen Tan, Chao Zhang, et al.. (2021). A Weighted Gene Co-Expression Network Analysis–Derived Prognostic Model for Predicting Prognosis and Immune Infiltration in Gastric Cancer. Frontiers in Oncology. 11. 554779–554779. 4 indexed citations
9.
Tan, Yuen, Qingchuan Chen, Xing Yao, et al.. (2021). High expression of COL5A2, a member of COL5 family, indicates the poor survival and facilitates cell migration in gastric cancer. Bioscience Reports. 41(4). 31 indexed citations
10.
12.
Tan, Yuen, Xing Yao, Chao Zhang, et al.. (2020). LINC01235-TWIST2 feedback loop facilitates epithelial–mesenchymal transition in gastric cancer by inhibiting THBS2. Aging. 12(24). 25060–25075. 21 indexed citations
13.
Zhang, Zhe, Wenbin Hou, Chao Zhang, et al.. (2020). A research of STEAP1 regulated gastric cancer cell proliferation, migration and invasion in vitro and in vivos. Journal of Cellular and Molecular Medicine. 24(24). 14217–14230. 23 indexed citations
15.
Wang, Pengliang, Funan Liu, Hanwei Huang, et al.. (2019). Novel immune–risk score of gastric cancer: A molecular prediction model combining the value of immune–risk status and chemosensitivity. Cancer Medicine. 8(5). 2675–2685. 22 indexed citations
16.
Li, Lingjuan, Mingyue Wang, Wenfeng Cao, et al.. (2017). lncRNAs HIF1A-AS2 facilitates the up-regulation of HIF-1α by sponging to miR-153-3p, whereby promoting angiogenesis in HUVECs in hypoxia. Biomedicine & Pharmacotherapy. 96. 165–172. 101 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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