Yajun Xie

522 total citations
30 papers, 348 citations indexed

About

Yajun Xie is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yajun Xie has authored 30 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Yajun Xie's work include Cancer, Hypoxia, and Metabolism (6 papers), Renal and related cancers (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Yajun Xie is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Renal and related cancers (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Yajun Xie collaborates with scholars based in China, Hong Kong and United States. Yajun Xie's co-authors include Qin Zhou, Qiying Yi, Jianing Liu, Dongsheng Ni, Yanxia Hu, Dan Shi, Fengmei Zhang, Yamin Liu, Zhaoming Dong and Sirong He and has published in prestigious journals such as Nature Communications, The Plant Cell and Biomaterials.

In The Last Decade

Yajun Xie

28 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajun Xie China 10 159 59 56 54 49 30 348
Mazyar Ghaffari Canada 13 255 1.6× 25 0.4× 50 0.9× 105 1.9× 32 0.7× 15 476
Xiaoling Liu China 12 176 1.1× 33 0.6× 44 0.8× 39 0.7× 17 0.3× 24 369
Jia-Hui Huang China 9 217 1.4× 20 0.3× 101 1.8× 77 1.4× 90 1.8× 12 484
Mingzhu Kang China 6 167 1.1× 30 0.5× 32 0.6× 66 1.2× 29 0.6× 6 303
Alžběta Filipová Czechia 10 152 1.0× 38 0.6× 17 0.3× 34 0.6× 22 0.4× 26 333
Zhiqing Li China 9 230 1.4× 23 0.4× 93 1.7× 83 1.5× 20 0.4× 26 409
Joel P. Joseph India 4 193 1.2× 29 0.5× 39 0.7× 131 2.4× 17 0.3× 6 408
Tingting Zeng China 12 297 1.9× 57 1.0× 28 0.5× 153 2.8× 54 1.1× 27 575
Miaojian Wan China 15 163 1.0× 35 0.6× 28 0.5× 69 1.3× 13 0.3× 33 539
Kyungjong Kim South Korea 9 206 1.3× 34 0.6× 81 1.4× 32 0.6× 11 0.2× 10 401

Countries citing papers authored by Yajun Xie

Since Specialization
Citations

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

Fields of papers citing papers by Yajun Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajun Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Yajun Xie. A scholar is included among the top collaborators of Yajun Xie 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 Yajun Xie. Yajun Xie 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.
Xie, Yajun, Qiying Yi, Jianing Liu, et al.. (2025). PEAK1 maintains tight junctions in intestinal epithelial cells and resists colitis by inhibiting autophagy-mediated ZO-1 degradation. Nature Communications. 16(1). 6777–6777. 1 indexed citations
2.
Hu, Yanxia, Jing Cai, Xin‐Hua Feng, et al.. (2025). TTC36 promotes proliferation and drug resistance in hepatocellular carcinoma cells by inhibiting c-Myc degradation. Cell Death and Disease. 16(1). 332–332.
3.
Cai, Jin, Xinyi Li, Xin‐Hua Feng, et al.. (2025). Baicalin alleviates lipid accumulation in adipocytes via inducing metabolic reprogramming and targeting Adenosine A1 receptor. Toxicon. 258. 108339–108339. 1 indexed citations
4.
Li, Rong, Haiming Sun, Juan Chen, et al.. (2025). Identifying C1orf122 as a potential HCC exacerbated biomarker dependently of SRPK1 regulates PI3K/AKT/GSK3β signaling pathway. Genes & Diseases. 13(1). 101721–101721.
5.
Li, Lei, Yanxia Hu, Dongsheng Ni, et al.. (2022). Selenoprotein S regulates tumorigenesis of clear cell renal cell carcinoma through AKT/ GSK3β/NF-κB signaling pathway. Gene. 832. 146559–146559. 2 indexed citations
6.
Wang, Dongqing, Mingming Xue, Jun Chen, et al.. (2021). Macrophage-derived implantable vaccine prevents postsurgical tumor recurrence. Biomaterials. 278. 121161–121161. 28 indexed citations
7.
Garcίa, Miguel Turrero, José‐Manuel Baizabal, Diana Tran, et al.. (2020). Transcriptional regulation of MGE progenitor proliferation by PRDM16 controls cortical GABAergic interneuron production. Development. 147(22). 5 indexed citations
8.
Lv, Tao�, Hong Lv, Junjie Fei, et al.. (2020). p53-R273H promotes cancer cell migration via upregulation of neuraminidase-1. Journal of Cancer. 11(23). 6874–6882. 19 indexed citations
9.
Wu, Yafei, Tengwei Song, Mingwei Liu, et al.. (2019). PPARG Negatively Modulates Six2 in Tumor Formation of Clear Cell Renal Cell Carcinoma. DNA and Cell Biology. 38(7). 700–707. 13 indexed citations
10.
Ni, Dongsheng, Jianing Liu, Yanxia Hu, et al.. (2019). A1CF-Axin2 signal axis regulates apoptosis and migration in Wilms tumor-derived cells through Wnt/β-catenin pathway. In Vitro Cellular & Developmental Biology - Animal. 55(4). 252–259. 9 indexed citations
11.
Ni, Dongsheng, Qiying Yi, Jianing Liu, et al.. (2019). A1CF-promoted colony formation and proliferation of RCC depends on DKK1-MEK/ERK signal axis. Gene. 730. 144299–144299. 9 indexed citations
12.
Chen, Lei, Yamin Liu, Yafei Wu, et al.. (2019). PPP3CB Inhibits Migration of G401 Cells via Regulating Epithelial-to-Mesenchymal Transition and Promotes G401 Cells Growth. International Journal of Molecular Sciences. 20(2). 275–275. 8 indexed citations
13.
14.
Xie, Yajun, Xiaoyan Lv, Dongsheng Ni, et al.. (2019). HPD degradation regulated by the TTC36-STK33-PELI1 signaling axis induces tyrosinemia and neurological damage. Nature Communications. 10(1). 4266–4266. 22 indexed citations
15.
Li, Yiman, Yajun Xie, Hao Jin, et al.. (2018). ER-localized protein-Herpud1 is a new mediator of IL-4-induced macrophage polarization and migration. Experimental Cell Research. 368(2). 167–173. 12 indexed citations
16.
Chen, Lei, Yamin Liu, Yafei Wu, et al.. (2018). Gulo regulates the proliferation, apoptosis and mesenchymal-to-epithelial transformation of metanephric mesenchyme cells via inhibiting Six2. Biochemical and Biophysical Research Communications. 504(4). 885–891. 2 indexed citations
17.
Xia, Hua, Xin Yan, Yamin Liu, et al.. (2017). Six2 is involved in GATA1-mediated cell apoptosis in mouse embryonic kidney-derived cell lines. In Vitro Cellular & Developmental Biology - Animal. 53(9). 827–833. 2 indexed citations
18.
Liu, Jianing, et al.. (2017). BMP7 plays a critical role in TMEM100-inhibited cell proliferation and apoptosis in mouse metanephric mesenchymal cells in vitro. In Vitro Cellular & Developmental Biology - Animal. 54(2). 111–119. 4 indexed citations
19.
Xie, Yajun, Yuhang Liu, Hui Wang, et al.. (2016). Gulo Acts as a <b><i>de novo</i></b> Marker for Pronephric Tubules in <b><i>Xenopus laevis</i></b>. Kidney & Blood Pressure Research. 41(6). 794–801. 1 indexed citations
20.
Wang, Qi, Xiaolin Li, Aimin Chen, et al.. (2015). The Small GTPase ROP10 of Medicago truncatula Is Required for Both Tip Growth of Root Hairs and Nod Factor-Induced Root Hair Deformation. The Plant Cell. 27(3). 806–822. 47 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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