Lin Hou

1.6k total citations
47 papers, 689 citations indexed

About

Lin Hou is a scholar working on Molecular Biology, Genetics and Control and Systems Engineering. According to data from OpenAlex, Lin Hou has authored 47 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Genetics and 3 papers in Control and Systems Engineering. Recurrent topics in Lin Hou's work include Genetic Associations and Epidemiology (18 papers), RNA modifications and cancer (9 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Lin Hou is often cited by papers focused on Genetic Associations and Epidemiology (18 papers), RNA modifications and cancer (9 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Lin Hou collaborates with scholars based in China, United States and Belgium. Lin Hou's co-authors include Hongyu Zhao, Shuang Song, Jing Yao, Wei Jiang, Jianping Zhou, Zuoheng Wang, Hanmin Guo, Qiongshi Lu, Ying Fan and Zhengjie Fang and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Lin Hou

45 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Hou China 15 336 196 104 55 48 47 689
Weiqiang Liu China 17 283 0.8× 130 0.7× 34 0.3× 45 0.8× 37 0.8× 68 683
Lulu Zhu China 15 286 0.9× 90 0.5× 129 1.2× 69 1.3× 27 0.6× 46 688
Xiang Zhan United States 18 420 1.3× 114 0.6× 63 0.6× 20 0.4× 30 0.6× 66 831
Chang Li China 16 511 1.5× 273 1.4× 174 1.7× 39 0.7× 9 0.2× 63 942
Kyung Yong Lee South Korea 14 534 1.6× 84 0.4× 169 1.6× 35 0.6× 12 0.3× 22 774
Meera S. Ramakrishnan United States 14 386 1.1× 98 0.5× 33 0.3× 22 0.4× 14 0.3× 30 825
Rui Zhong China 21 361 1.1× 71 0.4× 95 0.9× 19 0.3× 14 0.3× 96 1.2k
Lihui Hu China 18 309 0.9× 29 0.1× 72 0.7× 40 0.7× 29 0.6× 59 858
Annie Morin France 17 365 1.1× 71 0.4× 33 0.3× 48 0.9× 27 0.6× 49 783
Zhike Zi Germany 16 852 2.5× 92 0.5× 103 1.0× 41 0.7× 15 0.3× 33 1.2k

Countries citing papers authored by Lin Hou

Since Specialization
Citations

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

Fields of papers citing papers by Lin Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Hou. A scholar is included among the top collaborators of Lin Hou 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 Lin Hou. Lin Hou 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.
Zhao, Qingliang, Kun Wang, Lin Hou, Lin Guo, & Xiangyan Liu. (2024). Based on network pharmacology and molecular docking to explore the potential mechanism of shikonin in periodontitis. BMC Oral Health. 24(1). 839–839. 4 indexed citations
2.
Zhang, Chen, et al.. (2024). Coupled Epidemic-Information Propagation With Stranding Mechanism on Multiplex Metapopulation Networks. IEEE Transactions on Computational Social Systems. 11(5). 6727–6744. 8 indexed citations
3.
Song, Shuang, et al.. (2024). Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations. Nature Communications. 15(1). 5769–5769. 4 indexed citations
4.
Hou, Lin, et al.. (2023). Optimal feedback control of Hilfer fractional evolution inclusions involving history-dependent operators. Miskolc mathematical notes/Mathematical notes. 24(2). 877–877. 1 indexed citations
6.
Miao, Jiacheng, et al.. (2023). Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics. Nature Communications. 14(1). 832–832. 28 indexed citations
7.
Li, Keyi, Xiaoyang Chen, Shuang Song, et al.. (2023). Cofea: correlation-based feature selection for single-cell chromatin accessibility data. Briefings in Bioinformatics. 25(1). 2 indexed citations
8.
Chen, Xiaoyang, Shengquan Chen, Shuang Song, et al.. (2022). Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nature Machine Intelligence. 4(2). 116–126. 58 indexed citations
9.
Yu, Bo, Pan Li, Qiangfeng Cliff Zhang, & Lin Hou. (2022). Differential analysis of RNA structure probing experiments at nucleotide resolution: uncovering regulatory functions of RNA structure. Nature Communications. 13(1). 4227–4227. 8 indexed citations
10.
Song, Shuang, Wei Jiang, Yiliang Zhang, Lin Hou, & Hongyu Zhao. (2022). Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation. The American Journal of Human Genetics. 109(5). 802–811. 13 indexed citations
11.
Ren, Zhehao, Ruiyun Li, Tao Zhang, et al.. (2021). Reduction of Human Mobility Matters during Early COVID-19 Outbreaks: Evidence from India, Japan and China. International Journal of Environmental Research and Public Health. 18(6). 2826–2826. 4 indexed citations
12.
Jiang, Wei, Shuang Song, Lin Hou, & Hongyu Zhao. (2020). A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures. The American Statistician. 75(3). 310–322. 21 indexed citations
13.
Song, Shuang, Wei Jiang, Lin Hou, & Hongyu Zhao. (2020). Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. PLoS Computational Biology. 16(2). e1007565–e1007565. 23 indexed citations
14.
Si, Yali, Wenzhao Wu, Wenyuan Zhang, et al.. (2020). Reducing human pressure on farmland could rescue China’s declining wintering geese. Movement Ecology. 8(1). 35–35. 12 indexed citations
15.
Wang, Zuoheng, et al.. (2019). Identification of trans-eQTLs using mediation analysis with multiple mediators. BMC Bioinformatics. 20(S3). 126–126. 26 indexed citations
16.
Hou, Lin, et al.. (2015). Transcriptional Profiling of Ectoderm Specification to Keratinocyte Fate in Human Embryonic Stem Cells. PLoS ONE. 10(4). e0122493–e0122493. 13 indexed citations
17.
Yang, Can, Cong Li, Mengjie Chen, et al.. (2014). A penalized linear mixed model for genomic prediction using pedigree structures. BMC Proceedings. 8(S1). S67–S67. 1 indexed citations
18.
Hou, Lin, Tianzhou Ma, & Hongyu Zhao. (2014). Incorporating functional annotation information in prioritizing disease associated SNPs from genome wide association studies. Science China Life Sciences. 57(11). 1072–1079. 1 indexed citations
19.
Chiu, Yen‐Feng, et al.. (2014). Identification of rare variants for hypertension with incorporation of linkage information. BMC Proceedings. 8(S1). S109–S109. 4 indexed citations
20.
Fan, Ying, Jing Yao, Ronghui Du, et al.. (2012). Ternary Complexes with Core-Shell Bilayer for Double Level Targeted Gene Delivery: In Vitro and In Vivo Evaluation. Pharmaceutical Research. 30(5). 1215–1227. 23 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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