Chun‐Xiang Ye

516 total citations
10 papers, 385 citations indexed

About

Chun‐Xiang Ye is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chun‐Xiang Ye has authored 10 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Chun‐Xiang Ye's work include Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Chun‐Xiang Ye is often cited by papers focused on Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Chun‐Xiang Ye collaborates with scholars based in China. Chun‐Xiang Ye's co-authors include Zhen Jun Wang, Xiang‐Nan Li, Baocheng Zhao, Yong Yang, Lei Yang, Xiaoxi Huang, Yuan Zhou, Zhanlong Shen, Xiaoyan Qiu and Zihan Geng and has published in prestigious journals such as Biomedicine & Pharmacotherapy, Journal of Experimental & Clinical Cancer Research and Environmental Toxicology.

In The Last Decade

Chun‐Xiang Ye

9 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun‐Xiang Ye China	7	350	307	28	20	19	10	385
Suxia Luo China	11	225 0.6×	215 0.7×	34 1.2×	13 0.7×	19 1.0×	15	294
Yue‐Ju Li Taiwan	9	243 0.7×	174 0.6×	71 2.5×	21 1.1×	29 1.5×	11	326
Alexander Arthur Wurm Germany	10	291 0.8×	199 0.6×	24 0.9×	12 0.6×	41 2.2×	17	349
Stefania Carasi Italy	4	338 1.0×	310 1.0×	58 2.1×	12 0.6×	23 1.2×	5	404
Wenjia Su China	6	300 0.9×	290 0.9×	32 1.1×	28 1.4×	26 1.4×	11	358
Iveta Zmetakova Slovakia	11	298 0.9×	213 0.7×	84 3.0×	13 0.7×	27 1.4×	14	379
Jun Song China	7	309 0.9×	241 0.8×	39 1.4×	35 1.8×	21 1.1×	11	377
Shiyin Ma China	9	252 0.7×	225 0.7×	32 1.1×	7 0.3×	16 0.8×	23	321
Rufu Chen China	4	272 0.8×	234 0.8×	61 2.2×	24 1.2×	23 1.2×	7	313
Tangliang Zhao China	8	287 0.8×	251 0.8×	30 1.1×	12 0.6×	19 1.0×	10	361

Countries citing papers authored by Chun‐Xiang Ye

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Xiang Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Xiang Ye

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

All Works

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10 of 10 papers shown

Zhang, Zhiming, et al.. (2025). Red Cell Distribution Width/Albumin Ratio as a Valuable Marker to Predict Spontaneous Recanalization in Acute ST-Segment Elevation Myocardial Infarction: A Retrospective Cohort Study. Clinical and Applied Thrombosis/Hemostasis. 31. 3015562820–3015562820.

Li, Xiang‐Nan, et al.. (2023). CircVMP1 promotes glycolysis and disease progression by upregulating HKDC1 in colorectal cancer. Environmental Toxicology. 39(3). 1617–1630. 7 indexed citations

Qu, Hao, Zhen Jun Wang, Yudong Zhang, et al.. (2022). Long-Read Nanopore Sequencing Identifies Mismatch Repair-Deficient Related Genes with Alternative Splicing in Colorectal Cancer. Disease Markers. 2022. 1–16. 8 indexed citations

Li, Xiang‐Nan, et al.. (2020). Circular RNA circHUWE1 Is Upregulated and Promotes Cell Proliferation, Migration and Invasion in Colorectal Cancer by Sponging miR-486. OncoTargets and Therapy. Volume 13. 423–434. 27 indexed citations

Liang, Yan, Xiuyun Tian, Chun‐Xiang Ye, et al.. (2020). CD26 as a Promising Biomarker for Predicting Prognosis in Patients with Pancreatic Tumors. OncoTargets and Therapy. Volume 13. 12615–12623. 5 indexed citations

Li, Xiang‐Nan, et al.. (2020). Elevated Levels of circRUNX1 in Colorectal Cancer Promote Cell Growth and Metastasis via miR-145-5p/IGF1 Signalling. OncoTargets and Therapy. Volume 13. 4035–4048. 32 indexed citations

Li, Xiang‐Nan, et al.. (2019). Circular RNA circVAPA is up-regulated and exerts oncogenic properties by sponging miR-101 in colorectal cancer. Biomedicine & Pharmacotherapy. 112. 108611–108611. 96 indexed citations

Geng, Zihan, Chun‐Xiang Ye, Yan Huang, et al.. (2019). Human colorectal cancer cells frequently express IgG and display unique Ig repertoire. World Journal of Gastrointestinal Oncology. 11(3). 195–207. 24 indexed citations

Li, Xiang‐Nan, et al.. (2018). RNA sequencing reveals the expression profiles of circRNA and indicates that circDDX17 acts as a tumor suppressor in colorectal cancer. Journal of Experimental & Clinical Cancer Research. 37(1). 325–325. 181 indexed citations

10.

Ye, Chun‐Xiang, et al.. (2016). Elevated serum CD26 level is associated with metastasis and post-operation survival in pancreatic cancer patients. Translational Cancer Research. 5(5). 512–519. 5 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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