Hongchao Lv

1.1k total citations
42 papers, 639 citations indexed

About

Hongchao Lv is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Hongchao Lv has authored 42 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Epidemiology. Recurrent topics in Hongchao Lv's work include Genetic Associations and Epidemiology (10 papers), Bioinformatics and Genomic Networks (9 papers) and Herpesvirus Infections and Treatments (8 papers). Hongchao Lv is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Bioinformatics and Genomic Networks (9 papers) and Herpesvirus Infections and Treatments (8 papers). Hongchao Lv collaborates with scholars based in China and United States. Hongchao Lv's co-authors include Ruijie Zhang, Yongshuai Jiang, Zhenwei Shang, Jin Li, Xiaomei Wang, Yanping Zhang, Changjun Liu, Yulong Gao, Hongyu Cui and Wenhua Lv and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Hongchao Lv

42 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongchao Lv China 18 256 195 118 82 60 42 639
Jami E. Milam United States 6 396 1.5× 263 1.3× 108 0.9× 153 1.9× 44 0.7× 8 809
Amy J. Swift United States 12 291 1.1× 329 1.7× 198 1.7× 47 0.6× 32 0.5× 18 800
Mingyan Yu China 11 343 1.3× 65 0.3× 60 0.5× 56 0.7× 92 1.5× 16 602
Sergio Callejas Spain 14 403 1.6× 89 0.5× 52 0.4× 53 0.6× 70 1.2× 28 666
Linlin Gu United States 16 422 1.6× 109 0.6× 147 1.2× 151 1.8× 21 0.3× 41 862
Jeong‐An Gim South Korea 14 364 1.4× 83 0.4× 62 0.5× 100 1.2× 71 1.2× 88 712
Gloria Arriagada Chile 14 417 1.6× 66 0.3× 139 1.2× 87 1.1× 38 0.6× 38 776
Stephen Reid Germany 14 247 1.0× 110 0.6× 197 1.7× 162 2.0× 204 3.4× 19 765
Stephanie Meyer United States 15 365 1.4× 134 0.7× 141 1.2× 60 0.7× 227 3.8× 19 844
Ching‐Ying Wu Taiwan 15 145 0.6× 103 0.5× 71 0.6× 58 0.7× 20 0.3× 50 609

Countries citing papers authored by Hongchao Lv

Since Specialization
Citations

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

Fields of papers citing papers by Hongchao Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongchao Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Hongchao Lv. A scholar is included among the top collaborators of Hongchao 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 Hongchao Lv. Hongchao 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.
Lv, Hongchao, Chen Zhang, Meiqi Zhao, et al.. (2024). Comparative analysis of single-cell transcriptome reveals heterogeneity and commonality in the immune microenvironment of colorectal cancer and inflammatory bowel disease. Frontiers in Immunology. 15. 1356075–1356075. 9 indexed citations
2.
Cheng, Xiangshu, Xin Meng, Rui Chen, et al.. (2024). The molecular subtypes of autoimmune diseases. Computational and Structural Biotechnology Journal. 23. 1348–1363. 5 indexed citations
3.
Guo, Fei, Jingxuan Kang, Jing Xu, et al.. (2023). Genome-wide identification of m6A-associated single nucleotide polymorphisms in complex diseases of nervous system. Neuroscience Letters. 817. 137513–137513. 2 indexed citations
4.
Zhang, Dongmei, Yanan Ma, Ping Jiang, et al.. (2022). Ribosomal protein L22-like1 (RPL22L1) mediates sorafenib sensitivity via ERK in hepatocellular carcinoma. Cell Death Discovery. 8(1). 365–365. 14 indexed citations
5.
Teng, Yanbo, Mingming Zhang, Xinren Chen, et al.. (2018). Genome-wide haplotype association study identifies risk genes for non-small cell lung cancer. Journal of Theoretical Biology. 456. 84–90. 10 indexed citations
6.
Zhang, Yanping, Hongchao Lv, Linyi Zhou, et al.. (2017). A Chinese Variant Marek’s Disease Virus Strain with Divergence between Virulence and Vaccine Resistance. Viruses. 9(4). 71–71. 31 indexed citations
7.
Zhang, Mingming, Hongchao Lv, Lian Duan, et al.. (2016). Integrative analysis of genome-wide association studies and gene expression analysis identifies pathways associated with rheumatoid arthritis. Oncotarget. 7(8). 8580–8589. 9 indexed citations
8.
Zhang, Mingming, Hongbo Mu, Zhenwei Shang, et al.. (2016). Genome-wide pathway-based association analysis identifies risk pathways associated with Parkinson’s disease. Neuroscience. 340. 398–410. 18 indexed citations
9.
Lv, Hongchao, Yanping Zhang, Keyan Bao, et al.. (2016). Genetic evolution of Gallid herpesvirus 2 isolated in China. Infection Genetics and Evolution. 51. 263–274. 20 indexed citations
10.
Bao, Keyan, Yanping Zhang, Huiwen Zheng, et al.. (2015). Isolation and full-genome sequence of two reticuloendotheliosis virus strains from mixed infections with Marek’s disease virus in China. Virus Genes. 50(3). 418–424. 19 indexed citations
11.
Li, Jin, Maozu Guo, Xiaoyan Liu, et al.. (2015). A gene-based information gain method for detecting gene–gene interactions in case–control studies. European Journal of Human Genetics. 23(11). 1566–1572. 20 indexed citations
12.
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
13.
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
14.
Jiang, Yongshuai, Lanying Zhang, Fanwu Kong, et al.. (2014). MCPerm: A Monte Carlo Permutation Method for Accurately Correcting the Multiple Testing in a Meta-Analysis of Genetic Association Studies. PLoS ONE. 9(2). e89212–e89212. 5 indexed citations
15.
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
16.
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
17.
Li, Jin, Limei Wang, Liangde Xu, et al.. (2012). DBGSA: a novel method of distance-based gene set analysis. Journal of Human Genetics. 57(10). 642–653. 3 indexed citations
18.
Gong, Binsheng, Tao Liu, Xiaoyu Zhang, et al.. (2011). Disease embryo development network reveals the relationship between disease genes and embryo development genes. Journal of Theoretical Biology. 287. 100–108. 2 indexed citations
19.
Zhang, Xuehong, Ruijie Zhang, Yongshuai Jiang, et al.. (2011). The expanded human disease network combining protein–protein interaction information. European Journal of Human Genetics. 19(7). 783–788. 41 indexed citations
20.
Gong, Binsheng, Qingpu Zhang, Guangmei Zhang, et al.. (2007). Single-nucleotide polymorphism-gene intermixed networking reveals co-linkers connected to multiple gene expression phenotypes. BMC Proceedings. 1(S1). S45–S45. 2 indexed citations

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