Xing Ji

941 total citations
45 papers, 654 citations indexed

About

Xing Ji is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Xing Ji has authored 45 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Genetics. Recurrent topics in Xing Ji's work include Neurogenetic and Muscular Disorders Research (7 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Xing Ji is often cited by papers focused on Neurogenetic and Muscular Disorders Research (7 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Xing Ji collaborates with scholars based in China, United States and Japan. Xing Ji's co-authors include Ximei Wu, Bing Xiao, Wei Shi, Xinhua Hu, Yingwei Chen, Feng Chen, Musaddique Hussain, Jing Xu, Esraa Shosha and Junsong Wu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Xing Ji

43 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Ji China 16 317 108 64 62 59 45 654
Christian Staufner Germany 13 371 1.2× 96 0.9× 52 0.8× 70 1.1× 46 0.8× 27 688
Wei Sha United States 16 235 0.7× 80 0.7× 74 1.2× 58 0.9× 79 1.3× 48 837
Hendrik Rosewich Germany 18 567 1.8× 120 1.1× 105 1.6× 76 1.2× 56 0.9× 34 857
Sima Kheradmand Kia Netherlands 13 441 1.4× 103 1.0× 69 1.1× 48 0.8× 51 0.9× 18 680
Petra Popovics United States 16 289 0.9× 63 0.6× 53 0.8× 51 0.8× 96 1.6× 32 715
Caterina Camastra Italy 17 187 0.6× 75 0.7× 77 1.2× 63 1.0× 67 1.1× 24 739
Yun Yan United States 18 379 1.2× 64 0.6× 120 1.9× 44 0.7× 103 1.7× 57 858
Ivan Presta Italy 19 318 1.0× 77 0.7× 111 1.7× 86 1.4× 125 2.1× 43 913
Agnieszka Siejka Poland 15 233 0.7× 50 0.5× 56 0.9× 94 1.5× 105 1.8× 47 792
Yan Zhan China 13 225 0.7× 44 0.4× 65 1.0× 91 1.5× 28 0.5× 35 710

Countries citing papers authored by Xing Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xing Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Ji. A scholar is included among the top collaborators of Xing Ji 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 Xing Ji. Xing Ji 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.
Chen, Wei, et al.. (2025). Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models. Scientific Reports. 15(1). 1703–1703. 4 indexed citations
3.
Zeng, Linghui, Chao Tang, Qiangqiang He, et al.. (2024). Phosphorylation of human glioma-associated oncogene 1 on Ser937 regulates Sonic Hedgehog signaling in medulloblastoma. Nature Communications. 15(1). 987–987. 4 indexed citations
4.
Zhu, Haibin, Huan Luo, Xing Ji, et al.. (2024). Vitamin C inactivates c-Jun N-terminal kinase to stabilize heart and neural crest derivatives expressed 1 (Hand1) in regulating placentation and maintenance of pregnancy. Cellular and Molecular Life Sciences. 81(1). 303–303. 1 indexed citations
5.
He, Qiangqiang, Dan Tan, Chengyun Xu, et al.. (2023). Smurf1 polyubiquitinates on K285/K282 of the kinases Mst1/2 to attenuate their tumor-suppressor functions. Journal of Biological Chemistry. 299(12). 105395–105395. 4 indexed citations
6.
Wu, Chen, Sheng Zhao, Xing Ji, et al.. (2023). BMAL1 inhibits renal fibrosis and renal interstitial inflammation by targeting the ERK1/2/ELK-1/Egr-1 axis. International Immunopharmacology. 125(Pt B). 111140–111140. 12 indexed citations
7.
Fu, Di, Hong‐Li Guo, Ya‐Hui Hu, et al.. (2022). The Mechanism, Clinical Efficacy, Safety, and Dosage Regimen of Atomoxetine for ADHD Therapy in Children: A Narrative Review. Frontiers in Psychiatry. 12. 780921–780921. 38 indexed citations
8.
Shi, Wei, Chengyun Xu, Ying Gong, et al.. (2021). RhoA/Rock activation represents a new mechanism for inactivating Wnt/β-catenin signaling in the aging-associated bone loss. Cell Regeneration. 10(1). 8–8. 27 indexed citations
9.
10.
Cheng, Meng, et al.. (2020). Super-enhancers: A new frontier for glioma treatment. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1873(2). 188353–188353. 28 indexed citations
11.
Chen, Feng, et al.. (2020). The role of Chinese clinical pharmacists in parenteral nutrition for children using the Screening Tool Risk on Nutrititional Status and Growth (STRONGkids). International Journal of Clinical Pharmacy. 43(3). 518–523. 2 indexed citations
12.
Han, Lianshu, Chao Chen, Fengyu Guo, et al.. (2019). Noninvasive prenatal diagnosis of cobalamin C (cblC) deficiency through target region sequencing of cell‐free DNA in maternal plasma. Prenatal Diagnosis. 40(3). 324–332. 7 indexed citations
13.
Xiao, Bing, Xing Ji, Wei Wei, Hui Yan, & Yu Sun. (2019). A Recurrent Variant in <b><i>MAGEL2</i></b> in Five Siblings with Severe Respiratory Disturbance after Birth. Molecular Syndromology. 10(5). 286–290. 8 indexed citations
14.
Ji, Xing, Xinhua Hu, Chaochun Zou, et al.. (2017). Vitamin C deficiency exacerbates diabetic glomerular injury through activation of transforming growth factor-β signaling. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(9). 2186–2195. 9 indexed citations
15.
Chen, Haixiao, Xing Ji, Xinhua Hu, et al.. (2017). Inhibition of heat shock protein 90 rescues glucocorticoid-induced bone loss through enhancing bone formation. The Journal of Steroid Biochemistry and Molecular Biology. 171. 236–246. 18 indexed citations
16.
Patel, Chintan, Zhimin Xu, Esraa Shosha, et al.. (2016). Treatment with polyamine oxidase inhibitor reduces microglial activation and limits vascular injury in ischemic retinopathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1628–1639. 27 indexed citations
17.
Liu, Mei, Xueying Fan, Chao Tang, et al.. (2016). Phosphodiesterase 5/protein kinase G signal governs stemness of prostate cancer stem cells through Hippo pathway. Cancer Letters. 378(1). 38–50. 61 indexed citations
18.
Xu, Chaozhong, Dun Hong, Xing Ji, et al.. (2014). Inhibition of phosphodiesterase 5 reduces bone mass by suppression of canonical Wnt signaling. Cell Death and Disease. 5(11). e1544–e1544. 29 indexed citations
19.
Xu, Yan, Bing Xiao, Wenting Jiang, et al.. (2014). A novel mutation identified in PKHD1 by targeted exome sequencing: Guiding prenatal diagnosis for an ARPKD family. Gene. 551(1). 33–38. 4 indexed citations
20.
Xiao, Bing, et al.. (2013). A rare case of 46, XX SRY-negative male with a ∼74-kb duplication in a region upstream of SOX9. European Journal of Medical Genetics. 56(12). 695–698. 37 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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