Xiang Du

7.4k total citations · 1 hit paper
85 papers, 5.6k citations indexed

About

Xiang Du is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiang Du has authored 85 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 36 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Xiang Du's work include Cancer-related molecular mechanisms research (24 papers), RNA modifications and cancer (21 papers) and MicroRNA in disease regulation (12 papers). Xiang Du is often cited by papers focused on Cancer-related molecular mechanisms research (24 papers), RNA modifications and cancer (21 papers) and MicroRNA in disease regulation (12 papers). Xiang Du collaborates with scholars based in China, United States and Spain. Xiang Du's co-authors include Peng Qi, Dan Huang, Shujuan Ni, Weiqi Sheng, Zhaohui Huang, Cong Tan, Xiao-Yan Zhou, Ping Wei, Mi‐die Xu and Meng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Xiang Du

84 papers receiving 5.5k citations

Hit Papers

Plasma microRNAs are promising novel biomarkers for early... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Du China 39 4.1k 3.7k 821 535 417 85 5.6k
Zhao-Lei Zeng China 39 3.5k 0.8× 2.6k 0.7× 1.1k 1.3× 611 1.1× 287 0.7× 90 4.9k
Hushan Yang United States 40 2.8k 0.7× 2.0k 0.6× 1.1k 1.4× 590 1.1× 263 0.6× 124 4.6k
Ping Ji United States 31 4.0k 1.0× 2.6k 0.7× 754 0.9× 338 0.6× 175 0.4× 95 5.1k
Sharanjot Saini United States 43 4.3k 1.0× 3.1k 0.8× 573 0.7× 826 1.5× 283 0.7× 116 5.4k
Shahana Majid United States 47 5.0k 1.2× 3.4k 0.9× 763 0.9× 789 1.5× 406 1.0× 109 6.1k
Yuichiro Tanaka United States 50 5.4k 1.3× 3.6k 1.0× 843 1.0× 906 1.7× 544 1.3× 137 6.9k
Yoshihito Nakagawa Japan 35 3.5k 0.8× 2.3k 0.6× 429 0.5× 425 0.8× 230 0.6× 146 5.1k
Laura Gramantieri Italy 44 4.5k 1.1× 3.8k 1.0× 653 0.8× 297 0.6× 461 1.1× 124 6.7k
Jichun Zhou China 30 2.9k 0.7× 2.0k 0.5× 685 0.8× 781 1.5× 166 0.4× 79 4.5k

Countries citing papers authored by Xiang Du

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Du. A scholar is included among the top collaborators of Xiang Du 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 Xiang Du. Xiang Du 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.
Ye, Qing, Qifeng Wang, Peng Qi, et al.. (2020). Development and Clinical Validation of a 90-Gene Expression Assay for Identifying Tumor Tissue Origin. Journal of Molecular Diagnostics. 22(9). 1139–1150. 17 indexed citations
2.
Sun, Hui, Min Ye, Weiwei Weng, et al.. (2018). Hedgehog Interacting Protein 1 is a Prognostic Marker and Suppresses Cell Metastasis in Gastric Cancer. Journal of Cancer. 9(24). 4642–4649. 19 indexed citations
3.
Xu, Mi‐die, Yiqin Wang, Weiwei Weng, et al.. (2016). A Positive Feedback Loop of lncRNA- PVT1 and FOXM1 Facilitates Gastric Cancer Growth and Invasion. Clinical Cancer Research. 23(8). 2071–2080. 206 indexed citations
4.
Dong, Lei, Wanrun Lin, Peng Qi, et al.. (2016). Circulating Long RNAs in Serum Extracellular Vesicles: Their Characterization and Potential Application as Biomarkers for Diagnosis of Colorectal Cancer. Cancer Epidemiology Biomarkers & Prevention. 25(7). 1158–1166. 180 indexed citations
5.
Shen, Chen‐Yang, Yiqin Wang, Ping Wei, & Xiang Du. (2016). BRCA1-associated protein 1 deficiency in lung adenocarcinoma predicts poor outcome and increased tumor invasion. BMC Cancer. 16(1). 670–670. 8 indexed citations
6.
Qi, Peng, Xiao-Yan Zhou, & Xiang Du. (2016). Circulating long non-coding RNAs in cancer: current status and future perspectives. Molecular Cancer. 15(1). 39–39. 248 indexed citations
7.
Liu, Zebing, Ping Wei, Yu Yang, et al.. (2015). BATF2 Deficiency Promotes Progression in Human Colorectal Cancer via Activation of HGF/MET Signaling: A Potential Rationale for Combining MET Inhibitors with IFNs. Clinical Cancer Research. 21(7). 1752–1763. 31 indexed citations
8.
Xu, Qinghua, Cong Tan, Shujuan Ni, et al.. (2015). Identification and validation of a two-gene expression index for subtype classification and prognosis in Diffuse Large B-Cell Lymphoma. Scientific Reports. 5(1). 10006–10006. 14 indexed citations
9.
Fa-huan, Yuan, et al.. (2015). Clinical analysis of 156 cases of multiple organ failure caused by fish bile. Toxicology Reports. 2. 1194–1199. 1 indexed citations
10.
Xu, Mi‐die, Lei Dong, Peng Qi, et al.. (2015). Pituitary tumor-transforming gene-1 serves as an independent prognostic biomarker for gastric cancer. Gastric Cancer. 19(1). 107–115. 28 indexed citations
11.
Wei, Ping, Nu Zhang, Yiqin Wang, et al.. (2015). FOXM1 Promotes Lung Adenocarcinoma Invasion and Metastasis by Upregulating SNAIL. International Journal of Biological Sciences. 11(2). 186–198. 59 indexed citations
12.
Yin, Yuan, Bin-Bin Zhang, Weili Wang, et al.. (2014). miR-204-5p Inhibits Proliferation and Invasion and Enhances Chemotherapeutic Sensitivity of Colorectal Cancer Cells by Downregulating RAB22A. Clinical Cancer Research. 20(23). 6187–6199. 169 indexed citations
13.
Xu, Mi‐die, Peng Qi, Shu-juan Ni, et al.. (2014). Long Non-Coding RNA LSINCT5 Predicts Negative Prognosis and Exhibits Oncogenic Activity in Gastric Cancer. Medicine. 93(28). e303–e303. 55 indexed citations
14.
Xu, Ye, Qinghua Xu, Yang Li, et al.. (2013). Identification and Validation of a Blood-Based 18-Gene Expression Signature in Colorectal Cancer. Clinical Cancer Research. 19(11). 3039–3049. 18 indexed citations
15.
Wang, Qifeng, Zhaohui Huang, Weijie Guo, et al.. (2013). MicroRNA-202-3p Inhibits Cell Proliferation by Targeting ADP-Ribosylation Factor-like 5A in Human Colorectal Carcinoma. Clinical Cancer Research. 20(5). 1146–1157. 63 indexed citations
16.
Huang, Zhaohui, Shenglin Huang, Qifeng Wang, et al.. (2011). MicroRNA-95 Promotes Cell Proliferation and Targets Sorting Nexin 1 in Human Colorectal Carcinoma. Cancer Research. 71(7). 2582–2589. 114 indexed citations
17.
Hao, Miao, et al.. (2011). Licochalcone A inhibits growth of gastric cancer cells by arresting cell cycle progression and inducing apoptosis. Cancer Letters. 302(1). 69–75. 145 indexed citations
18.
Huang, Zhaohui, et al.. (2009). Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer. International Journal of Cancer. 127(1). 118–126. 818 indexed citations breakdown →
19.
Huang, Dan, Bin Yu, Yun Deng, et al.. (2009). SFRP4 was overexpressed in colorectal carcinoma. Journal of Cancer Research and Clinical Oncology. 136(3). 395–401. 40 indexed citations
20.
Du, Xiang. (2006). Expression and significance of ezrin in human primary sporadic colorectal carcinoma. Zhongguo aizheng 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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