Xiaoling Ying

914 total citations
23 papers, 634 citations indexed

About

Xiaoling Ying is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaoling Ying has authored 23 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Xiaoling Ying's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer-related gene regulation (6 papers). Xiaoling Ying is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer-related gene regulation (6 papers). Xiaoling Ying collaborates with scholars based in China, United States and United Kingdom. Xiaoling Ying's co-authors include Weidong Ji, Haiqing Zhang, Shuibin Lin, Defeng Qi, Yinghui Chao, Huan Jin, Biao Que, Min Wang, Bixia Liu and Yapeng Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Advanced Science.

In The Last Decade

Xiaoling Ying

22 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Ying China 11 553 316 77 65 63 23 634
Qianqing Wang China 10 321 0.6× 224 0.7× 42 0.5× 41 0.6× 22 0.3× 23 473
Zhihui Dai China 10 373 0.7× 261 0.8× 17 0.2× 40 0.6× 32 0.5× 17 485
Shun Jiang China 14 272 0.5× 173 0.5× 7 0.1× 111 1.7× 53 0.8× 23 473
Peter Deraska United States 8 329 0.6× 109 0.3× 17 0.2× 129 2.0× 20 0.3× 11 405
Yali Lu China 11 274 0.5× 170 0.5× 8 0.1× 15 0.2× 39 0.6× 31 381
Zhilei Su China 11 350 0.6× 373 1.2× 14 0.2× 24 0.4× 30 0.5× 18 458
Zhihui Feng China 8 270 0.5× 122 0.4× 25 0.3× 17 0.3× 15 0.2× 11 327
Hongyan Gao China 10 254 0.5× 207 0.7× 4 0.1× 63 1.0× 12 0.2× 16 389
Michael Seddon United States 8 225 0.4× 185 0.6× 5 0.1× 235 3.6× 143 2.3× 9 512
Dong K. Chang United States 6 246 0.4× 102 0.3× 100 1.3× 291 4.5× 36 0.6× 10 522

Countries citing papers authored by Xiaoling Ying

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Ying. A scholar is included among the top collaborators of Xiaoling Ying 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 Xiaoling Ying. Xiaoling Ying 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.
Wang, Lixia, et al.. (2025). Identification of Mitochondrial and Succinylation Modification-Related Gene Signature in Ischemic Stroke. Molecular Neurobiology. 62(9). 11130–11144.
2.
Li, Shujue, Wenzheng Wu, Yuhao Zhou, et al.. (2025). Gut microbiota-regulated unconjugated bilirubin metabolism drives renal calcium oxalate crystal deposition. Gut Microbes. 17(1). 2546158–2546158. 1 indexed citations
3.
Lv, Yifan, Zhibin Chen, Xiaowei Zhu, et al.. (2024). Circular RNA LMBR1 inhibits bladder cancer progression by enhancing expression of the protein ALDH1A3. Non-coding RNA Research. 9(4). 1235–1248. 1 indexed citations
4.
Ying, Xiaoling, et al.. (2024). tsRNA modifications: An emerging layer of biological regulation in disease. Journal of Advanced Research. 74. 403–414. 9 indexed citations
5.
Huang, Yapeng, Yifan Lv, Shike Zhang, et al.. (2024). Enhancing m6A modification of lncRNA through METTL3 and RBM15 to promote malignant progression in bladder cancer. Heliyon. 10(7). e28165–e28165. 6 indexed citations
6.
Ying, Xiaoling, Yapeng Huang, Yifan Lv, et al.. (2024). A Novel tsRNA, m7G‐3′ tiRNA LysTTT, Promotes Bladder Cancer Malignancy Via Regulating ANXA2 Phosphorylation. Advanced Science. 11(31). e2400115–e2400115. 14 indexed citations
7.
Liu, Bixia, Yifan Lv, Yapeng Huang, et al.. (2024). m6A modification mediates SLC3A2/SLC7A5 translation in 3-methylcholanthrene-induced uroepithelial transformation. Cell Biology and Toxicology. 40(1). 5–5. 3 indexed citations
8.
Hu, Chenxi, Jie Ning, Xiaoling Ying, et al.. (2023). N6-methyladenosine mediates Nrf2 protein expression involved in PM2.5-induced pulmonary fibrosis. Ecotoxicology and Environmental Safety. 254. 114755–114755. 24 indexed citations
10.
Ying, Xiaoling, Yapeng Huang, Bixia Liu, et al.. (2023). Targeted m6A demethylation of ITGA6 mRNA by a multisite dCasRx–m6A editor inhibits bladder cancer development. Journal of Advanced Research. 56. 57–68. 14 indexed citations
11.
Chen, Cong, Yinghui Chao, Chengcheng Zhang, et al.. (2023). TROP2 translation mediated by dual m6A/m7G RNA modifications promotes bladder cancer development. Cancer Letters. 566. 216246–216246. 16 indexed citations
12.
Ying, Xiaoling, et al.. (2022). NXPH4 Used as a New Prognostic and Immunotherapeutic Marker for Muscle-Invasive Bladder Cancer. Journal of Oncology. 2022. 1–21. 4 indexed citations
13.
Ying, Xiaoling, Bixia Liu, Yapeng Huang, et al.. (2021). METTL1‐m7G‐EGFR/EFEMP1 axis promotes the bladder cancer development. SHILAP Revista de lepidopterología. 11(12). e675–e675. 137 indexed citations
14.
Zhang, Yuying, Baoyi Zhu, Minghui He, et al.. (2021). N6-Methylandenosine-Related lncRNAs Predict Prognosis and Immunotherapy Response in Bladder Cancer. Frontiers in Oncology. 11. 710767–710767. 30 indexed citations
15.
Wu, Bin, Jiang Xu, Yapeng Huang, et al.. (2021). Integrated analysis of mRNA–m 6 A–protein profiles reveals novel insights into the mechanisms for cadmium-induced urothelial transformation. Biomarkers. 26(6). 499–507. 11 indexed citations
16.
Ying, Xiaoling, Lingyu Jiang, Song Zhang, et al.. (2020). Invasiveness of the Yersinia pestis ail protein contributes to host dissemination in pneumonic and oral plague. Microbial Pathogenesis. 141. 103993–103993. 6 indexed citations
17.
Yang, Fan, Huan Jin, Biao Que, et al.. (2019). Dynamic m6A mRNA methylation reveals the role of METTL3-m6A-CDCP1 signaling axis in chemical carcinogenesis. Oncogene. 38(24). 4755–4772. 152 indexed citations
18.
Jin, Huan, Xiaoling Ying, Biao Que, et al.. (2019). N6-methyladenosine modification of ITGA6 mRNA promotes the development and progression of bladder cancer. EBioMedicine. 47. 195–207. 163 indexed citations
19.
Han, Xue, Xiaoling Ying, Shili Zhou, et al.. (2014). Characterization of the enterovirus 71 P1 polyprotein expressed inPichia pastoras a candidate vaccine. Human Vaccines & Immunotherapeutics. 10(8). 2220–2226. 6 indexed citations
20.
Han, Xue, Xiaoling Ying, Hao Huang, Shili Zhou, & Qi Huang. (2012). Expression and purification of enterovirus type 71 polyprotein P1 using Pichia pastoris system. Virologica Sinica. 27(4). 254–258. 3 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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