Dongkui Song

698 total citations
23 papers, 459 citations indexed

About

Dongkui Song is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dongkui Song has authored 23 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Dongkui Song's work include Bladder and Urothelial Cancer Treatments (5 papers), Epigenetics and DNA Methylation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Dongkui Song is often cited by papers focused on Bladder and Urothelial Cancer Treatments (5 papers), Epigenetics and DNA Methylation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Dongkui Song collaborates with scholars based in China, United Kingdom and Australia. Dongkui Song's co-authors include Lirong Zhang, Yong‐Jie Lu, Thomas Powles, Molly A. Ingersoll, Jinxing Wei, Xuepei Zhang, Xiaoming Yang, Yanfeng Yang, Bingqian Liu and Jian Liu and has published in prestigious journals such as The Journal of Pathology, Medicine and Oncotarget.

In The Last Decade

Dongkui Song

23 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongkui Song China 12 304 186 145 77 76 23 459
Zongjing Chen China 7 304 1.0× 227 1.2× 75 0.5× 56 0.7× 44 0.6× 12 424
Nanhong Tang China 11 211 0.7× 173 0.9× 68 0.5× 102 1.3× 40 0.5× 18 391
Peng Gu China 11 334 1.1× 136 0.7× 55 0.4× 39 0.5× 40 0.5× 28 432
Shangha Pan China 11 270 0.9× 220 1.2× 139 1.0× 74 1.0× 44 0.6× 15 478
Liang Song China 10 193 0.6× 112 0.6× 25 0.2× 62 0.8× 71 0.9× 26 293
Lei Lü China 12 247 0.8× 227 1.2× 59 0.4× 54 0.7× 42 0.6× 15 406
Swastika Sur United States 10 186 0.6× 44 0.2× 56 0.4× 52 0.7× 42 0.6× 17 362
Zhilei Zhang China 11 205 0.7× 139 0.7× 23 0.2× 75 1.0× 37 0.5× 25 393
Adam K. Willson United States 5 210 0.7× 173 0.9× 36 0.2× 46 0.6× 19 0.3× 8 325

Countries citing papers authored by Dongkui Song

Since Specialization
Citations

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

Fields of papers citing papers by Dongkui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkui Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dongkui Song. A scholar is included among the top collaborators of Dongkui Song 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 Dongkui Song. Dongkui Song 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.
Guo, Yufeng, Qi Chang, Tao Wang, et al.. (2024). Transcriptome-wide 1-methyladenosine functional profiling of messenger RNA and long non-coding RNA in bladder cancer. Frontiers in Genetics. 15. 1333931–1333931. 3 indexed citations
2.
Yang, Xiaoming, Xiaosong Wei, Yang Yang, et al.. (2022). Long Noncoding RNA HAND2-AS1 Suppresses Cell Proliferation, Migration, and Invasion of Bladder Cancer via miR-17-5p / KLF9 Axis. DNA and Cell Biology. 41(2). 179–189. 6 indexed citations
3.
Chang, Qi, Yudong Guan, Yongqiang Chen, et al.. (2022). Discovery and validation of bladder cancer related excreted nucleosides biomarkers by dilution approach in cell culture supernatant and urine using UHPLC-MS/MS. Journal of Proteomics. 270. 104737–104737. 9 indexed citations
4.
Guo, Yufeng, Jianjian Yin, Yongqiang Chen, et al.. (2021). A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer. Frontiers in Cell and Developmental Biology. 9. 642650–642650. 11 indexed citations
5.
Song, Dongkui, et al.. (2020). RAC3 Promotes Proliferation, Migration and Invasion via PYCR1/JAK/STAT Signaling in Bladder Cancer. Frontiers in Molecular Biosciences. 7. 218–218. 39 indexed citations
6.
Wei, Xiaosong, Beibei Wang, Xiaoming Yang, et al.. (2020). MiR-362-5p, Which Is Regulated by Long Non-Coding RNA MBNL1-AS1, Promotes the Cell Proliferation and Tumor Growth of Bladder Cancer by Targeting QKI. Frontiers in Pharmacology. 11. 164–164. 22 indexed citations
7.
Lu, Hongyan, et al.. (2019). Clinical significance of functional and anatomical classifications in paraganglioma of the urinary bladder. Urologic Oncology Seminars and Original Investigations. 37(6). 354.e9–354.e17. 10 indexed citations
8.
Wei, Xiaosong, Xiaoming Yang, Beibei Wang, et al.. (2019). LncRNA MBNL1‐AS1 represses cell proliferation and enhances cell apoptosis via targeting miR‐135a‐5p/PHLPP2/FOXO1 axis in bladder cancer. Cancer Medicine. 9(2). 724–736. 27 indexed citations
9.
Shi, Lei, et al.. (2019). Gene mutation detection of urinary sediment cells for NMIBC early diagnose and prediction of NMIBC relapse after surgery. Medicine. 98(32). e16451–e16451. 13 indexed citations
10.
Yang, Xiaoming, et al.. (2017). MiR-210-3p inhibits the tumor growth and metastasis of bladder cancer via targeting fibroblast growth factor receptor-like 1.. PubMed. 7(8). 1738–1753. 43 indexed citations
11.
Wang, Zhiyu, et al.. (2016). Expression of miRNA-630 in bladder urothelial carcinoma and its clinical significance. Journal of Huazhong University of Science and Technology [Medical Sciences]. 36(5). 705–709. 7 indexed citations
12.
Yang, Yanfeng, Xuepei Zhang, Dongkui Song, & Jinxing Wei. (2015). Piwil2 modulates the invasion and metastasis of prostate cancer by regulating the expression of matrix metalloproteinase-9 and epithelial-mesenchymal transitions. Oncology Letters. 10(3). 1735–1740. 24 indexed citations
13.
Shi, Lei, Xiaoming Yang, Dongdong Tang, et al.. (2015). Expression and significance of m1A transmethylase, hTrm6p/hTrm61p and its related gene hTrm6/hTrm61 in bladder urothelial carcinoma.. PubMed. 5(7). 2169–79. 35 indexed citations
14.
Yang, Yanfeng, Xuepei Zhang, Dongkui Song, & Jinxing Wei. (2014). Association between vascular endothelial growth factor gene polymorphisms and bladder cancer risk. Molecular and Clinical Oncology. 2(4). 501–505. 15 indexed citations
15.
Hou, Hongwei, et al.. (2011). Simultaneous determination of four mercapturic acids in human urine using solid phase extraction and liquid chromatography-tandem mass spectrometry. Chinese Journal of Chromatography. 29(1). 31–35. 1 indexed citations
16.
Zhang, Xuepei, et al.. (2009). Transperitoneal laparoscopic adrenalectomy for adrenal neoplasm: a report of 371 cases. Chinese Journal of Cancer. 28(7). 730–733. 8 indexed citations
17.
18.
Liu, Jian, et al.. (2009). [Association between genetic polymorphism of UGT1A7 and susceptibility of bladder cancer].. PubMed. 89(44). 3122–5. 6 indexed citations
19.
Song, Dongkui, Kun Chen, Zhongxue Li, et al.. (2008). Association study of cyclooxygenuse 2 polymorphisms and bladder cancer. Zhonghua miniao waike zazhi. 29(10). 704–707. 1 indexed citations
20.
Song, Dongkui. (2006). Relationship between polymorphism of N-acetyltransferase 2 gene and susceptibility to bladder cancer. Zhonghua miniao waike zazhi. 1 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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