Aiming Xu

1.9k total citations
51 papers, 1.5k citations indexed

About

Aiming Xu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aiming Xu has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aiming Xu's work include Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (7 papers) and Urologic and reproductive health conditions (6 papers). Aiming Xu is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (7 papers) and Urologic and reproductive health conditions (6 papers). Aiming Xu collaborates with scholars based in China, United States and Singapore. Aiming Xu's co-authors include John F. Keaney, Joseph A. Vita, Zengjun Wang, Chenkui Miao, Jianzhong Zhang, Jianzheng Fang, Shifeng Su, Zengjun Wang, Jundong Zhu and Shouyong Liu and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Circulation Research.

In The Last Decade

Aiming Xu

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiming Xu China 22 582 359 241 205 171 51 1.5k
Katarı́na Volkovová Slovakia 24 484 0.8× 299 0.8× 189 0.8× 129 0.6× 173 1.0× 67 1.5k
Yuki Izawa‐Ishizawa Japan 23 421 0.7× 178 0.5× 207 0.9× 149 0.7× 179 1.0× 76 1.5k
Karni S. Moshal United States 27 640 1.1× 207 0.6× 281 1.2× 136 0.7× 367 2.1× 61 1.9k
Guixia Ding China 25 937 1.6× 192 0.5× 159 0.7× 107 0.5× 110 0.6× 68 2.0k
Mohammad Zahid Ashraf India 22 546 0.9× 193 0.5× 121 0.5× 122 0.6× 160 0.9× 50 1.4k
Brian B. Ratliff United States 23 794 1.4× 152 0.4× 259 1.1× 94 0.5× 146 0.9× 43 2.0k
Yaowen Fu China 22 534 0.9× 119 0.3× 139 0.6× 234 1.1× 131 0.8× 59 1.4k
Lixia Zeng United States 25 530 0.9× 185 0.5× 170 0.7× 74 0.4× 110 0.6× 37 1.6k
Dongxiao Shen United States 16 847 1.5× 166 0.5× 345 1.4× 68 0.3× 165 1.0× 24 1.6k

Countries citing papers authored by Aiming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Aiming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiming Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Aiming Xu. A scholar is included among the top collaborators of Aiming Xu 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 Aiming Xu. Aiming Xu 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.
Xu, Aiming, et al.. (2026). The proliferative Scissor+ gene signature model uncovers the ISG15-KPNA2 axis as a critical driver of malignancy in ccRCC. International Journal of Biological Macromolecules. 351. 150812–150812.
2.
Pu, Szu‐Yuan, Si-Jin Qian, Qi Li, et al.. (2025). Construction and multi-omics analysis of ccRCC mitochondrial related gene machine learning model and validate of key gene FKBP10. International Immunopharmacology. 165. 115527–115527. 1 indexed citations
3.
Wang, Zhongyuan, et al.. (2023). Causes of death after testicular cancer diagnosis: a US population-based analysis. BMC Urology. 23(1). 144–144. 4 indexed citations
4.
Xie, Jiaheng, et al.. (2022). Integrative analysis of TRPV family to prognosis and immune infiltration in renal clear cell carcinoma. Channels. 16(1). 84–96. 8 indexed citations
5.
Miao, Chenkui, Chao Liang, Pu Li, et al.. (2021). TRIM37 orchestrates renal cell carcinoma progression via histone H2A ubiquitination-dependent manner. Journal of Experimental & Clinical Cancer Research. 40(1). 195–195. 27 indexed citations
6.
Ren, Xiaohan, Shouyong Liu, Zhongwen Lü, et al.. (2021). Integrated Analysis of the Prognosis-Associated RNA-Binding Protein Genes and Candidate Drugs in Renal Papillary Cell Carcinoma. Frontiers in Genetics. 12. 627508–627508. 30 indexed citations
7.
Zhang, Tongtong, Xiang Zhou, Aiming Xu, et al.. (2020). Toxicity of polybrominated diphenyl ethers (PBDEs) on rodent male reproductive system: A systematic review and meta-analysis of randomized control studies. The Science of The Total Environment. 720. 137419–137419. 38 indexed citations
8.
Miao, Chenkui, et al.. (2020). Acinar with ductal and mucinous adenocarcinoma of prostate cancer complicated with lung metastasis: a case report and literature review. Annals of Palliative Medicine. 10(2). 2366–2370. 3 indexed citations
9.
Gu, Qi, et al.. (2020). Robot-assisted radical cystectomy with totally intracorporeal neobladder diversion: perioperative, oncologic, and functional outcomes. Translational Andrology and Urology. 9(6). 2606–2615. 4 indexed citations
10.
Wu, Deyao, Xiaobing Niu, Jun Tao, et al.. (2017). MicroRNA-379-5p plays a tumor-suppressive role in human bladder cancer growth and metastasis by directly targeting MDM2. Oncology Reports. 37(6). 3502–3508. 45 indexed citations
11.
Chen, Wei, Kai Zhao, Chenkui Miao, et al.. (2017). Silencing Trim59 inhibits invasion/migration and epithelial-to-mesenchymal transition via TGF-β/Smad2/3 signaling pathway in bladder cancer cells. OncoTargets and Therapy. Volume 10. 1503–1512. 41 indexed citations
12.
Zhu, Jundong, Chenkui Miao, Shouyong Liu, et al.. (2017). Prognostic role of CD82/KAI1 in multiple human malignant neoplasms: a meta-analysis of 31 studies. OncoTargets and Therapy. Volume 10. 5805–5816. 8 indexed citations
13.
14.
Zhu, Jundong, Chao Liang, Yibo Hua, et al.. (2017). The metastasis suppressor CD82/KAI1 regulates cell migration and invasion via inhibiting TGF-β 1/Smad signaling in renal cell carcinoma. Oncotarget. 8(31). 51559–51568. 22 indexed citations
15.
Xu, Aiming, Yibo Hua, Jianzhong Zhang, et al.. (2016). Abnormal Hypermethylation of the VDAC2 Promoter is a Potential Cause of Idiopathic Asthenospermia in Men. Scientific Reports. 6(1). 37836–37836. 21 indexed citations
16.
Cao, Jingyi, Hainan Wang, Feifei Chen, et al.. (2016). Galangin inhibits cell invasion by suppressing the epithelial-mesenchymal transition and inducing apoptosis in renal cell carcinoma. Molecular Medicine Reports. 13(5). 4238–4244. 46 indexed citations
17.
Cheng, Gong, et al.. (2015). A novel surgical management for male infertility secondary to midline prostatic cyst. BMC Urology. 15(1). 18–18. 12 indexed citations
18.
Fang, Jianzheng, Hainan Wang, Wei Xi, et al.. (2015). Downregulation of tNASP inhibits proliferation through regulating cell cycle-related proteins and inactive ERK/MAPK signal pathway in renal cell carcinoma cells. Tumor Biology. 36(7). 5209–5214. 20 indexed citations
19.
Liu, Changkun, et al.. (2015). H19-derived miR-675 contributes to bladder cancer cell proliferation by regulating p53 activation. Tumor Biology. 37(1). 263–270. 90 indexed citations
20.
Liu, Bianjiang, et al.. (2014). Is abnormal expression of semenogelin I involved with seminal vesiculitis?. Medical Hypotheses. 82(3). 338–340. 4 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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