Qiu‐Yan He

954 total citations
19 papers, 675 citations indexed

About

Qiu‐Yan He is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Qiu‐Yan He has authored 19 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Qiu‐Yan He's work include MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Qiu‐Yan He is often cited by papers focused on MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Qiu‐Yan He collaborates with scholars based in China, Saudi Arabia and United States. Qiu‐Yan He's co-authors include Zhi‐Qiang Xiao, Hong Yi, Jia‐Quan Qu, Xun‐Xun Wan, Maoyu Li, Jianhuang Li, Xia Li, Gu‐Qing Zeng, Yu Chen and Jianhong Zuo and has published in prestigious journals such as PLoS ONE, Molecular & Cellular Proteomics and Journal of Cellular Biochemistry.

In The Last Decade

Qiu‐Yan He

18 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiu‐Yan He China 14 484 275 203 79 62 19 675
Jia‐Quan Qu China 15 556 1.1× 330 1.2× 206 1.0× 80 1.0× 53 0.9× 17 756
Shilpi Arora United States 15 680 1.4× 262 1.0× 260 1.3× 98 1.2× 49 0.8× 31 948
Juan Feng China 16 567 1.2× 371 1.3× 121 0.6× 107 1.4× 42 0.7× 30 747
Alexander Jorge Cortez Poland 10 332 0.7× 186 0.7× 238 1.2× 95 1.2× 52 0.8× 24 696
Ailan Cheng China 12 361 0.7× 134 0.5× 128 0.6× 51 0.6× 33 0.5× 28 493
Xun‐Xun Wan China 9 331 0.7× 165 0.6× 149 0.7× 50 0.6× 27 0.4× 9 458
Diede Brunen Netherlands 10 485 1.0× 152 0.6× 190 0.9× 69 0.9× 92 1.5× 14 700
Katherine R. Singleton United States 11 497 1.0× 135 0.5× 209 1.0× 190 2.4× 50 0.8× 16 652
Alice Faversani Italy 15 644 1.3× 419 1.5× 262 1.3× 113 1.4× 74 1.2× 20 1.0k
Caiwen Du China 15 473 1.0× 250 0.9× 416 2.0× 168 2.1× 41 0.7× 45 803

Countries citing papers authored by Qiu‐Yan He

Since Specialization
Citations

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

Fields of papers citing papers by Qiu‐Yan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiu‐Yan He. 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 Qiu‐Yan He. The network helps show where Qiu‐Yan He may publish in the future.

Co-authorship network of co-authors of Qiu‐Yan He

This figure shows the co-authorship network connecting the top 25 collaborators of Qiu‐Yan He. A scholar is included among the top collaborators of Qiu‐Yan He 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 Qiu‐Yan He. Qiu‐Yan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Qingshui, Qiu‐Yan He, Ye Yan, et al.. (2025). UBC9 overexpression promotes proliferation and metastasis in gastric cancer via ATF2. World Journal of Surgical Oncology. 23(1). 270–270.
3.
Sun, Yi, Li Gao, Wei Zhu, et al.. (2020). A comprehensive pan-cancer study of fibroblast growth factor receptor aberrations in Chinese cancer patients. Annals of Translational Medicine. 8(20). 1290–1290. 22 indexed citations
4.
Lu, Shan, Can Lu, Yuxuan Xiao, et al.. (2020). Comparison of EML4-ALK fusion gene positive rate in different detection methods and samples of non-small cell lung cancer. Journal of Cancer. 11(6). 1525–1531. 13 indexed citations
5.
Feng, Juan, Ta Xiao, Shanshan Lu, et al.. (2020). ANXA1‑derived peptides suppress gastric and colon cancer cell growth by targeting EphA2 degradation. International Journal of Oncology. 57(5). 1203–1213. 15 indexed citations
6.
Zhu, Wei, Qiu‐Yan He, Can Lu, et al.. (2018). Detection of immunoglobulin and T-cell receptor gene rearrangements in angioimmunoblastic T-cell lymphoma.. PubMed. 11(5). 2642–2653. 2 indexed citations
7.
Lü, Can, Qiu‐Yan He, Wei Zhu, et al.. (2017). The value of detecting immunoglobulin gene rearrangements in the diagnosis of B-cell lymphoma. Oncotarget. 8(44). 77009–77019. 12 indexed citations
8.
Qu, Jia‐Quan, Hongmei Yi, Ye Xu, et al.. (2015). MiRNA-203 Reduces Nasopharyngeal Carcinoma Radioresistance by Targeting IL8/AKT Signaling. Molecular Cancer Therapeutics. 14(11). 2653–2664. 74 indexed citations
9.
Wan, Xun‐Xun, Hong Yi, Jia‐Quan Qu, Qiu‐Yan He, & Zhi‐Qiang Xiao. (2015). Integrated analysis of the differential cellular and EBV miRNA expression profiles in microdissected nasopharyngeal carcinoma and non-cancerous nasopharyngeal tissues. Oncology Reports. 34(5). 2585–2601. 27 indexed citations
10.
He, Qiu‐Yan, Hongmei Yi, Hong Yi, et al.. (2015). Reduction of RKIP expression promotes nasopharyngeal carcinoma invasion and metastasis by activating Stat3 signaling. Oncotarget. 6(18). 16422–16436. 26 indexed citations
11.
Qu, Jia‐Quan, Hongmei Yi, Ye Xu, et al.. (2015). MiR-23a sensitizes nasopharyngeal carcinoma to irradiation by targeting IL-8/Stat3 pathway. Oncotarget. 6(29). 28341–28356. 59 indexed citations
12.
Li, Xia, Jia‐Quan Qu, Hong Yi, et al.. (2014). Integrated Analysis of Differential miRNA and mRNA Expression Profiles in Human Radioresistant and Radiosensitive Nasopharyngeal Carcinoma Cells. PLoS ONE. 9(1). e87767–e87767. 39 indexed citations
13.
Zeng, Gu‐Qing, Pengfei Zhang, Xingming Deng, et al.. (2012). Identification of Candidate Biomarkers for Early Detection of Human Lung Squamous Cell Cancer by Quantitative Proteomics. Molecular & Cellular Proteomics. 11(6). M111.013946–M111.013946. 56 indexed citations
14.
Zhang, Pengfei, Gu‐Qing Zeng, Rong Hu, et al.. (2012). Identification of Flotillin-1 as a novel biomarker for lymph node metastasis and prognosis of lung adenocarcinoma by quantitative plasma membrane proteome analysis. Journal of Proteomics. 77. 202–214. 31 indexed citations
15.
Zhang, Bin, Jia‐Quan Qu, Xiao Liang, et al.. (2012). Identification of heat shock protein 27 as a radioresistance-related protein in nasopharyngeal carcinoma cells. Journal of Cancer Research and Clinical Oncology. 138(12). 2117–2125. 27 indexed citations
16.
Li, Xuebing, Rong Hu, Qiu‐Yan He, et al.. (2012). Identification of nm23-H1 as a metastatic suppressor and prognostic factor in nasopharyngeal carcinoma by proteomic analysis.. PubMed. 37(1). 17–26. 6 indexed citations
17.
Zuo, Jianhong, Wei Zhu, Maoyu Li, et al.. (2011). Activation of EGFR promotes squamous carcinoma SCC10A cell migration and invasion via inducing EMT‐like phenotype change and MMP‐9‐mediated degradation of E‐cadherin. Journal of Cellular Biochemistry. 112(9). 2508–2517. 214 indexed citations
18.
Xiao, Yanhua, Xia Li, Tan Tan, et al.. (2011). Identification of GLIPR1 tumor suppressor as methylation-silenced gene in acute myeloid leukemia by microarray analysis. Journal of Cancer Research and Clinical Oncology. 137(12). 1831–1840. 14 indexed citations
19.
Ruan, Lin, Xinhui Li, Xun‐Xun Wan, et al.. (2011). Analysis of EGFR signaling pathway in nasopharyngeal carcinoma cells by quantitative phosphoproteomics. Proteome Science. 9(1). 35–35. 29 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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