Huadan Ye

810 total citations
34 papers, 552 citations indexed

About

Huadan Ye is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Huadan Ye has authored 34 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Surgery. Recurrent topics in Huadan Ye's work include Epigenetics and DNA Methylation (13 papers), RNA modifications and cancer (6 papers) and Cancer-related gene regulation (5 papers). Huadan Ye is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), RNA modifications and cancer (6 papers) and Cancer-related gene regulation (5 papers). Huadan Ye collaborates with scholars based in China and United States. Huadan Ye's co-authors include Shiwei Duan, Qingxiao Hong, Yi Huang, Xiaoying Chen, Leiting Xu, Meng Ye, Xuting Xu, Qi Liao, Cheng Zhang and Dongjun Dai and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Huadan Ye

34 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huadan Ye China 15 317 109 85 65 63 34 552
Chia‐Ni Hsiung Taiwan 11 268 0.8× 113 1.0× 127 1.5× 45 0.7× 71 1.1× 22 523
Yoichiro Ikeda Japan 11 266 0.8× 92 0.8× 81 1.0× 82 1.3× 29 0.5× 22 599
Furu Wang China 13 278 0.9× 86 0.8× 117 1.4× 60 0.9× 163 2.6× 29 707
Sachi Hoshi Japan 7 247 0.8× 60 0.6× 91 1.1× 47 0.7× 62 1.0× 8 547
Jiyun Yang China 12 300 0.9× 101 0.9× 121 1.4× 81 1.2× 52 0.8× 23 511
Evrim Kömürcü-Bayrak Türkiye 14 191 0.6× 102 0.9× 52 0.6× 104 1.6× 26 0.4× 35 456
Kaida Ji China 11 170 0.5× 87 0.8× 30 0.4× 59 0.9× 81 1.3× 15 429
Yezhou Sun United States 6 358 1.1× 166 1.5× 51 0.6× 30 0.5× 21 0.3× 11 579
Eirini I. Bimpaki United States 9 283 0.9× 118 1.1× 37 0.4× 109 1.7× 65 1.0× 12 524
Ling Hou China 14 344 1.1× 149 1.4× 100 1.2× 147 2.3× 17 0.3× 69 736

Countries citing papers authored by Huadan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Huadan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huadan Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Huadan Ye. A scholar is included among the top collaborators of Huadan 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 Huadan Ye. Huadan Ye 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.
Hong, Qingxiao, Xiaoying Chen, Huadan Ye, et al.. (2017). Chemotherapy-induced hypomethylation of N-myc downstream-regulated gene 4 in the bone marrow of patients with acute myeloid leukemia. Oncology Letters. 13(5). 3309–3313. 1 indexed citations
2.
Shen, Zhisen, Xiaoying Chen, Qun Li, et al.. (2016). Elevated methylation of CMTM3 promoter in the male laryngeal squamous cell carcinoma patients. Clinical Biochemistry. 49(16-17). 1278–1282. 20 indexed citations
3.
Shen, Zhisen, Xiaoying Chen, Qun Li, et al.. (2016). SSTR2 promoter hypermethylation is associated with the risk and progression of laryngeal squamous cell carcinoma in males. Diagnostic Pathology. 11(1). 10–10. 17 indexed citations
4.
Hong, Qingxiao, Xiaoying Chen, Huadan Ye, et al.. (2016). APC2 and CYP1B1 methylation changes in the bone marrow of acute myeloid leukemia patients during chemotherapy. Experimental and Therapeutic Medicine. 12(5). 3047–3052. 7 indexed citations
5.
Ye, Huadan, Qingxiao Hong, Xuting Xu, et al.. (2015). A lack of association between the IKZF2 rs12619285 polymorphism and coronary heart disease. Experimental and Therapeutic Medicine. 9(4). 1309–1313. 4 indexed citations
6.
Ye, Huadan, Qingxiao Hong, Xiaoying Chen, et al.. (2015). Association of seven thrombotic pathway gene CpG-SNPs with coronary heart disease. Biomedicine & Pharmacotherapy. 72. 98–102. 9 indexed citations
7.
Xu, Leiting, Xiaoying Chen, Huadan Ye, et al.. (2015). Association of four CpG-SNPs in the vascular-related genes with coronary heart disease. Biomedicine & Pharmacotherapy. 70. 80–83. 11 indexed citations
8.
Ye, Huadan, Linlin Tang, Xuting Xu, et al.. (2015). Positive Association between APOA5 rs662799 Polymorphism and Coronary Heart Disease: A Case-Control Study and Meta-Analysis. PLoS ONE. 10(8). e0135683–e0135683. 21 indexed citations
9.
Dai, Dongjun, Yong Chen, Xingyu Zhou, et al.. (2014). Significant association between TAP2 polymorphisms and rheumatoid arthritis: a meta-analysis. Diagnostic Pathology. 9(1). 129–129. 7 indexed citations
10.
Chen, Xiaoliang, Huadan Ye, Ping Peng, et al.. (2014). An Association Study between Genetic Polymorphism in the Interleukin-6 Receptor Gene and Coronary Heart Disease. BioMed Research International. 2014. 1–6. 10 indexed citations
11.
Tang, Linlin, Huadan Ye, Lingyan Wang, et al.. (2014). Elevated CpG island methylation of GCK gene predicts the risk of type 2 diabetes in Chinese males. Gene. 547(2). 329–333. 29 indexed citations
12.
Cheng, Jia, Huadan Ye, Xuting Xu, et al.. (2014). Investigation into the promoter DNA methylation of three genes (CAMK1D, CRY2 and CALM2) in the peripheral blood of patients with type 2 diabetes. Experimental and Therapeutic Medicine. 8(2). 579–584. 10 indexed citations
13.
Chen, Cheng, Lingyan Wang, Qi Liao, et al.. (2014). Association Between Six Genetic Polymorphisms and Colorectal Cancer: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 18(3). 187–195. 22 indexed citations
14.
Chen, Cheng, Yi Huang, Cheng Zhang, et al.. (2014). Association between TLR2, MTR, MTRR, XPC, TP73, TP53 genetic polymorphisms and gastric cancer: A meta-analysis. Clinics and Research in Hepatology and Gastroenterology. 38(3). 346–359. 19 indexed citations
15.
Huang, Yi, Sheng Nie, Shengjun Zhou, et al.. (2014). PPARD rs2016520 polymorphism and circulating lipid levels connect with brain diseases in Han Chinese and suggest sex-dependent effects. Biomedicine & Pharmacotherapy. 70. 7–11. 13 indexed citations
16.
Zhang, Cheng, Lingyan Wang, Lína Zhang, et al.. (2013). Genetic Associations with Hypertension: Meta-Analyses of Six Candidate Genetic Variants. Genetic Testing and Molecular Biomarkers. 17(10). 736–742. 15 indexed citations
17.
18.
Tang, Linlin, Lingyan Wang, Qi Liao, et al.. (2013). Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms. PLoS ONE. 8(7). e70301–e70301. 14 indexed citations
19.
Ye, Huadan, Xiaojing Li, Lingyan Wang, et al.. (2013). Genetic associations with coronary heart disease: Meta-analyses of 12 candidate genetic variants. Gene. 531(1). 71–77. 16 indexed citations
20.
Xu, Xuting, Yunliang Wang, Lingyan Wang, et al.. (2013). Meta-Analyses of 8 Polymorphisms Associated with the Risk of the Alzheimer’s Disease. PLoS ONE. 8(9). e73129–e73129. 30 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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