Wan‐Xin Peng

1.8k total citations
40 papers, 1.3k citations indexed

About

Wan‐Xin Peng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wan‐Xin Peng has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Wan‐Xin Peng's work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (6 papers). Wan‐Xin Peng is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (6 papers). Wan‐Xin Peng collaborates with scholars based in China, United States and Canada. Wan‐Xin Peng's co-authors include Yin‐Yuan Mo, Liu Yang, Aihua Gong, Jianguo Huang, F. Du, Jiahong Jiang, Huaixiang Zhou, Min Xu, Xiaoge Hu and Xinchun Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Neuroscience.

In The Last Decade

Wan‐Xin Peng

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan‐Xin Peng China 19 953 610 163 101 76 40 1.3k
Mengyang Zhao China 15 734 0.8× 395 0.6× 179 1.1× 140 1.4× 85 1.1× 30 1.1k
Mihail I. Mitov United States 15 545 0.6× 340 0.6× 109 0.7× 99 1.0× 110 1.4× 26 1.0k
Jiaze An China 18 685 0.7× 442 0.7× 144 0.9× 157 1.6× 112 1.5× 37 1.1k
Jiaming Xie China 13 515 0.5× 291 0.5× 170 1.0× 106 1.0× 186 2.4× 35 977
Yifei Xing China 20 693 0.7× 415 0.7× 168 1.0× 89 0.9× 231 3.0× 65 1.1k
Sihan Wu China 18 846 0.9× 676 1.1× 157 1.0× 58 0.6× 88 1.2× 49 1.4k
Emelyn H. Shroff United States 14 644 0.7× 273 0.4× 150 0.9× 53 0.5× 128 1.7× 17 1.1k
Wenjing Liu China 19 655 0.7× 466 0.8× 113 0.7× 23 0.2× 103 1.4× 62 984
Ken Tachibana Japan 14 522 0.5× 188 0.3× 187 1.1× 57 0.6× 46 0.6× 31 830

Countries citing papers authored by Wan‐Xin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Wan‐Xin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan‐Xin Peng. 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‐Xin Peng. The network helps show where Wan‐Xin Peng may publish in the future.

Co-authorship network of co-authors of Wan‐Xin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Xin Peng. A scholar is included among the top collaborators of Wan‐Xin Peng 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‐Xin Peng. Wan‐Xin Peng 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.
Zhu, Jingyu, Yin‐Yuan Mo, & Wan‐Xin Peng. (2025). RNA binding protein-mediated competing endogenous RNA mechanism in cancer. Gene. 963. 149606–149606.
2.
Liu, Yuntao, Min He, Xian Shen, et al.. (2025). Loss of YTHDF1 suppresses the progression of malignant rhabdoid tumor of the kidney by regulating Glutathione S-transferase Mu 2 (GSTM2). Cell Biology and Toxicology. 41(1). 96–96.
3.
He, Min, Yuwei Wang, Jiabin Cai, et al.. (2024). Robot-assisted resection of renal tumor in children and comparison with laparoscopic surgery. BMC Surgery. 24(1). 325–325. 1 indexed citations
4.
Tang, Xiaoxiao, et al.. (2023). Roxadustat: Do we know all the answers?. SHILAP Revista de lepidopterología. 23(3). 354–363. 12 indexed citations
5.
Cai, Jiabin, Xuan Wu, Jin‐Yan Wang, et al.. (2023). Perioperative complication incidence and risk factors for retroperitoneal neuroblastoma in children: analysis of 571 patients. World Journal of Pediatrics. 20(3). 250–258. 2 indexed citations
6.
Xu, Yaohui, et al.. (2023). Effective and Efficient Porous CeO2 Adsorbent for Acid Orange 7 Adsorption. Materials. 16(7). 2650–2650. 5 indexed citations
7.
Peng, Wan‐Xin, Pratirodh Koirala, Huaixiang Zhou, et al.. (2021). Lnc-DC promotes estrogen independent growth and tamoxifen resistance in breast cancer. Cell Death and Disease. 12(11). 1000–1000. 15 indexed citations
8.
Wang, Huizhi, Jie Li, Junbo He, et al.. (2020). Methyl-CpG-binding protein 2 drives the Furin/TGF-β1/Smad axis to promote epithelial–mesenchymal transition in pancreatic cancer cells. Oncogenesis. 9(8). 76–76. 16 indexed citations
9.
Peng, Wan‐Xin, Rongzhang He, Ziqiang Zhang, Liu Yang, & Yin‐Yuan Mo. (2019). LINC00346 promotes pancreatic cancer progression through the CTCF-mediated Myc transcription. Oncogene. 38(41). 6770–6780. 38 indexed citations
10.
Hu, Xiaoge, Wan‐Xin Peng, Huaixiang Zhou, et al.. (2019). IGF2BP2 regulates DANCR by serving as an N6-methyladenosine reader. Cell Death and Differentiation. 27(6). 1782–1794. 252 indexed citations
11.
Zhang, Chunli, Xu Xiao, Zhengrong Zhou, et al.. (2018). FoxM1 drives ADAM17/EGFR activation loop to promote mesenchymal transition in glioblastoma. Cell Death and Disease. 9(5). 469–469. 36 indexed citations
12.
Zhang, Meiting, Yi Zhao, Youli Zhang, et al.. (2018). LncRNA UCA1 promotes migration and invasion in pancreatic cancer cells via the Hippo pathway. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(5). 1770–1782. 76 indexed citations
13.
Xu, Min, Junbo He, Jie Li, et al.. (2016). Methyl-CpG-binding domain 3 inhibits epithelial–mesenchymal transition in pancreatic cancer cells via TGF-β/Smad signalling. British Journal of Cancer. 116(1). 91–99. 18 indexed citations
14.
Xu, Min, Jing Cai, Hong Wei, et al.. (2016). Scoparone Protects Against Pancreatic Fibrosis via TGF-β/Smad Signaling in Rats. Cellular Physiology and Biochemistry. 40(1-2). 277–286. 38 indexed citations
15.
Xu, Min, Chunli Zhang, Junbo He, et al.. (2016). ADAM17 promotes epithelial-mesenchymal transition via TGF-β/Smad pathway in gastric carcinoma cells. International Journal of Oncology. 49(6). 2520–2528. 28 indexed citations
16.
Xing, Guangwei, Haifeng Shi, Wan‐Xin Peng, et al.. (2014). Role of autophagy in methylmercury-induced neurotoxicity in rat primary astrocytes. Archives of Toxicology. 90(2). 333–345. 47 indexed citations
17.
Gong, Aihua, Sisi Ye, Ermeng Xiong, et al.. (2013). Autophagy contributes to ING4-induced glioma cell death. Experimental Cell Research. 319(12). 1714–1723. 21 indexed citations
18.
Peng, Wan‐Xin, et al.. (2010). Hypoxia Stabilizes Microtubule Networks and Decreases Tumor Cell Chemosensitivity to Anticancer Drugs Through Egr‐1. The Anatomical Record. 293(3). 414–420. 18 indexed citations
19.
Huang, Min, Wan‐Xin Peng, Chun Zhao, et al.. (2008). The association of CaM and Hsp70 regulates S-phase arrest and apoptosis in a spatially and temporally dependent manner in human cells. Cell Stress and Chaperones. 14(4). 343–353. 12 indexed citations
20.
Shen, Weigan, Wan‐Xin Peng, Yue Shao, et al.. (2007). Localization and activity of calmodulin is involved in cell–cell adhesion of tumor cells and endothelial cells in response to hypoxic stress. Cell Biology and Toxicology. 23(5). 323–335. 10 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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