Wenhua Lv

485 total citations
21 papers, 227 citations indexed

About

Wenhua Lv is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Wenhua Lv has authored 21 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Wenhua Lv's work include Epigenetics and DNA Methylation (6 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Associations and Epidemiology (3 papers). Wenhua Lv is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Associations and Epidemiology (3 papers). Wenhua Lv collaborates with scholars based in China. Wenhua Lv's co-authors include Ruijie Zhang, Hongchao Lv, Yongshuai Jiang, Zhenwei Shang, Yuanbo Zhan, Ruimin Zhang, Yue Gu, Jiang Zhu, Chuangeng Chen and Yan Zhang and has published in prestigious journals such as PLoS ONE, Journal of Periodontology and Experimental Biology and Medicine.

In The Last Decade

Wenhua Lv

21 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenhua Lv China 9 138 49 39 35 34 21 227
Kazutoshi Murao Japan 10 161 1.2× 43 0.9× 21 0.5× 27 0.8× 18 0.5× 21 408
An Xu China 9 162 1.2× 140 2.9× 42 1.1× 68 1.9× 22 0.6× 13 304
Jeffery Houghton United States 3 89 0.6× 28 0.6× 31 0.8× 39 1.1× 26 0.8× 3 184
Xinhong Wang China 11 246 1.8× 179 3.7× 30 0.8× 18 0.5× 37 1.1× 16 332
Paulina Węgrzyn Poland 10 209 1.5× 80 1.6× 17 0.4× 121 3.5× 20 0.6× 13 362
Sae Jin Oh South Korea 10 106 0.8× 40 0.8× 23 0.6× 153 4.4× 28 0.8× 18 359
Assunta Sellitto Italy 11 237 1.7× 90 1.8× 41 1.1× 20 0.6× 25 0.7× 12 325
Jinping Lu China 10 172 1.2× 62 1.3× 50 1.3× 25 0.7× 38 1.1× 12 296
Guangnan Liu China 11 233 1.7× 124 2.5× 16 0.4× 128 3.7× 88 2.6× 18 423
Eva Veselá Czechia 7 184 1.3× 46 0.9× 25 0.6× 17 0.5× 27 0.8× 9 349

Countries citing papers authored by Wenhua Lv

Since Specialization
Citations

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

Fields of papers citing papers by Wenhua Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhua Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhua Lv. A scholar is included among the top collaborators of Wenhua Lv 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 Wenhua Lv. Wenhua Lv 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.
Li, Jiajun, Hao Tang, Zhenwei Shang, et al.. (2025). Identifying functional subtypes and common mechanisms of rheumatoid arthritis and systemic lupus erythematosus. Genes & Diseases. 12(5). 101527–101527. 1 indexed citations
2.
Chen, Haiyan, Jingxuan Kang, Xuying Guo, et al.. (2025). The hidden Markov model and its applications in bioinformatics analysis. Genes & Diseases. 13(1). 101729–101729. 1 indexed citations
3.
Lv, Wenhua, Zhenwei Shang, Shuai Cheng Li, et al.. (2024). Identifying functional subtypes of IgA nephropathy based on three machine learning algorithms and WGCNA. BMC Medical Genomics. 17(1). 61–61. 3 indexed citations
4.
Xu, Jing, Haiyan Chen, Xingyu Chen, et al.. (2023). Epigenome‐wide methylation haplotype association analysis identified HLA‐DRB1, HLA‐DRB5 and HLA‐DQB1 as risk factors for rheumatoid arthritis. International Journal of Immunogenetics. 50(6). 291–298. 5 indexed citations
5.
Li, Shuai Cheng, Zhenwei Shang, Wenhua Lv, et al.. (2023). Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas. Briefings in Functional Genomics. 23(4). 406–417. 8 indexed citations
6.
Sun, Xiaohui, Jia Liu, Shijing Deng, et al.. (2022). Quorum Quenching Bacteria Bacillus velezensis DH82 on Biological Control of Vibrio parahaemolyticus for Sustainable Aquaculture of Litopenaeus vannamei. Frontiers in Marine Science. 9. 8 indexed citations
7.
Lv, Wenhua, et al.. (2021). Exploring effects of DNA methylation and gene expression on pan-cancer drug response by mathematical models. Experimental Biology and Medicine. 246(14). 1626–1642. 1 indexed citations
8.
Gu, Yue, Xingda Zhang, Mu Su, et al.. (2019). Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer. Frontiers in Bioengineering and Biotechnology. 7. 365–365. 9 indexed citations
9.
Zhu, Jiang, Mu Su, Xingda Zhang, et al.. (2019). Development of a Method for Identifying and Functionally Analyzing Allele-Specific DNA Methylation Based on BS-Seq Data. Epigenomics. 11(15). 1679–1692. 1 indexed citations
10.
11.
Zhang, Shumei, Yihan Wang, Yue Gu, et al.. (2018). Specific breast cancer prognosis‐subtype distinctions based onDNAmethylation patterns. Molecular Oncology. 12(7). 1047–1060. 61 indexed citations
12.
Lv, Wenhua, Mengying Zhang, Jiang Zhu, et al.. (2018). Exploration of Drug-Response Mechanism by Integrating Genetics and Epigenetics Across Cancers. Epigenomics. 10(7). 993–1010. 4 indexed citations
13.
Lv, Wenhua, Qiuyu Wang, He Chen, et al.. (2015). Prioritization of rheumatoid arthritis risk subpathways based on global immune subpathway interaction network and random walk strategy. Molecular BioSystems. 11(11). 2986–2997. 5 indexed citations
14.
Sun, Wei, Wenhua Lv, Hongchao Lv, Ruijie Zhang, & Yongshuai Jiang. (2015). Genome-wide haplotype association analysis identifies SERPINB9, SERPINE2, GAK, and HSP90B1 as novel risk genes for oral squamous cell carcinoma. Tumor Biology. 37(2). 1845–1851. 11 indexed citations
15.
Lv, Wenhua, Yiying Guo, Ziqi Yu, et al.. (2015). The drug target genes show higher evolutionary conservation than non-target genes. Oncotarget. 7(4). 4961–4971. 15 indexed citations
16.
Zhang, Ruijie, Wenhua Lv, Jiajia Zheng, et al.. (2015). Genes with stable DNA methylation levels show higher evolutionary conservation than genes with fluctuant DNA methylation levels. Oncotarget. 6(37). 40235–40246. 2 indexed citations
17.
Wang, Qun, Hongchao Lv, Wenhua Lv, et al.. (2014). Genome-wide haplotype association study identifies BLM as a risk gene for prostate cancer in Chinese population. Tumor Biology. 36(4). 2703–2707. 10 indexed citations
18.
Zhan, Yuanbo, Ruimin Zhang, Hongchao Lv, et al.. (2014). Prioritization of Candidate Genes for Periodontitis Using Multiple Computational Tools. Journal of Periodontology. 85(8). 1059–1069. 35 indexed citations
19.
Jiang, Yongshuai, Ruijie Zhang, Hongchao Lv, et al.. (2013). HGPGD: The Human Gene Population Genetic Difference Database. PLoS ONE. 8(5). e64150–e64150. 4 indexed citations
20.
Jiang, Yongshuai, Ruijie Zhang, Jiajia Zheng, et al.. (2012). Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades. PLoS ONE. 7(12). e51571–e51571. 37 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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