Xiaohui Ling

922 total citations
29 papers, 740 citations indexed

About

Xiaohui Ling is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaohui Ling has authored 29 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaohui Ling's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Advanced Photocatalysis Techniques (6 papers). Xiaohui Ling is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Advanced Photocatalysis Techniques (6 papers). Xiaohui Ling collaborates with scholars based in China, United States and Macao. Xiaohui Ling's co-authors include Weide Zhong, Xin Fu, Zhuoyuan Lin, Huichan He, Zhaodong Han, Chonghai Deng, Funeng Jiang, Qi-Shan Dai, Tao Wang and Hanmei Hu and has published in prestigious journals such as Journal of Cleaner Production, FEBS Letters and Cell Death and Differentiation.

In The Last Decade

Xiaohui Ling

28 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohui Ling China 17 428 306 178 162 96 29 740
Qin‐Sheng Mao China 17 499 1.2× 364 1.2× 54 0.3× 77 0.5× 109 1.1× 43 861
Jiahe Yang China 15 276 0.6× 205 0.7× 78 0.4× 40 0.2× 55 0.6× 42 661
Jihang Zhou China 7 338 0.8× 280 0.9× 282 1.6× 58 0.4× 54 0.6× 12 724
Zhixian He China 14 333 0.8× 160 0.5× 59 0.3× 45 0.3× 61 0.6× 46 528
Chuanyu Yang China 15 381 0.9× 120 0.4× 38 0.2× 103 0.6× 38 0.4× 33 654
Yanan Fang United States 12 496 1.2× 159 0.5× 87 0.5× 101 0.6× 17 0.2× 37 749
Teng Hou China 17 525 1.2× 319 1.0× 26 0.1× 61 0.4× 78 0.8× 41 861
Xingang Cui China 13 333 0.8× 191 0.6× 34 0.2× 62 0.4× 152 1.6× 36 638
Guancheng Li China 14 367 0.9× 115 0.4× 37 0.2× 54 0.3× 29 0.3× 40 645

Countries citing papers authored by Xiaohui Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Ling. A scholar is included among the top collaborators of Xiaohui Ling 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 Xiaohui Ling. Xiaohui Ling 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.
Chen, Yi‐Hao, Jia-Hong Chen, Xiaohui Ling, et al.. (2024). Lamin B1: a novel biomarker in adult and pediatric adrenocortical carcinoma. Endocrine Related Cancer. 31(3). 1 indexed citations
2.
Chen, Yi‐Hao, Chuanfan Zhong, Shanshan Mo, et al.. (2024). Multi-omics profiling highlights karyopherin subunit alpha 2 as a promising biomarker for prognosis and immunotherapy respond in pediatric and adult adrenocortical carcinoma. Annals of Medicine. 56(1). 2397092–2397092. 1 indexed citations
3.
Liu, Ren, Zhihao Zou, Lingwu Chen, et al.. (2024). FKBP10 promotes clear cell renal cell carcinoma progression and regulates sensitivity to the HIF2α blockade by facilitating LDHA phosphorylation. Cell Death and Disease. 15(1). 64–64. 29 indexed citations
4.
5.
Deng, Chonghai, Xiaohui Ling, Tao Wang, et al.. (2023). Constructing nano CdS-decorated porous biomass-derived carbon for multi-channel synergetic photocatalytic hydrogen evolution under solar lighting. Applied Surface Science. 623. 157065–157065. 27 indexed citations
6.
Deng, Chonghai, Xiaohui Ling, Tao Wang, et al.. (2023). Construction of S-scheme Zn0.2Cd0.8S/biochar aerogel architectures for boosting photocatalytic hydrogen production under sunlight irradiation. Journal of Cleaner Production. 414. 137616–137616. 45 indexed citations
7.
Chen, Jiahong, Yaqiang Huang, Xiaohui Ling, et al.. (2021). Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer. Frontiers in Cell and Developmental Biology. 8. 616332–616332. 14 indexed citations
8.
9.
Huang, Yaqiang, Xiaohui Ling, Zhiyun Chen, et al.. (2017). miR-30c suppresses prostate cancer survival by targeting the ASF/SF2 splicing factor oncoprotein. Molecular Medicine Reports. 16(3). 2431–2438. 20 indexed citations
10.
Ling, Xiaohui, et al.. (2016). BCL9, a coactivator for Wnt/β-catenin transcription, is targeted by miR-30c and is associated with prostate cancer progression. Oncology Letters. 11(3). 2001–2008. 31 indexed citations
11.
Chen, Jia-Hong, Yuxiang Liang, Huichan He, et al.. (2015). Overexpression of PDZ-binding kinase confers malignant phenotype in prostate cancer via the regulation of E2F1. International Journal of Biological Macromolecules. 81. 615–623. 21 indexed citations
12.
Huang, Qinzhu, Xiaofang Tang, Yun Fan, et al.. (2014). Ubr3 E3 ligase regulates apoptosis by controlling the activity of DIAP1 in Drosophila. Cell Death and Differentiation. 21(12). 1961–1970. 20 indexed citations
13.
Ling, Xiaohui, Zhaodong Han, Dan Xia, et al.. (2014). MicroRNA-30c serves as an independent biochemical recurrence predictor and potential tumor suppressor for prostate cancer. Molecular Biology Reports. 41(5). 2779–2788. 33 indexed citations
14.
Huang, Yaqiang, Zhaodong Han, Yuxiang Liang, et al.. (2013). Decreased expression of myosin light chain MYL9 in stroma predicts malignant progression and poor biochemical recurrence-free survival in prostate cancer. Medical Oncology. 31(1). 820–820. 43 indexed citations
15.
Zhao, Jin, Xinyang Wu, Xiaohui Ling, et al.. (2013). Analysis of genetic aberrations on chromosomal region 8q21–24 identifies E2F5 as an oncogene with copy number gain in prostate cancer. Medical Oncology. 30(1). 465–465. 23 indexed citations
16.
He, Huichan, Xiaohui Ling, Jianguo Zhu, et al.. (2013). Down-regulation of the ErbB3 binding protein 1 in human bladder cancer promotes tumor progression and cell proliferation. Molecular Biology Reports. 40(5). 3799–3805. 15 indexed citations
17.
Lin, Tianxin, Kewei Xu, Wen Dong, et al.. (2013). MicroRNA-335 Acts as a Candidate Tumor Suppressor in Prostate Cancer. Pathology & Oncology Research. 19(3). 529–537. 36 indexed citations
18.
Lin, Zhuoyuan, Yaqiang Huang, Yanqiong Zhang, et al.. (2013). MicroRNA-224 inhibits progression of human prostate cancer by downregulating TRIB1. International Journal of Cancer. 135(3). 541–550. 89 indexed citations
19.
He, Huichan, Jianguo Zhu, Shan-Ming Chen, et al.. (2012). MicroRNA‐23b downregulates peroxiredoxin III in human prostate cancer. FEBS Letters. 586(16). 2451–2458. 45 indexed citations
20.
Zhong, Weide, Qi-Shan Dai, Zhaodong Han, et al.. (2012). SOXs in human prostate cancer: implication as progression and prognosis factors. BMC Cancer. 12(1). 248–248. 58 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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