Wenjian Bi

2.7k total citations
46 papers, 800 citations indexed

About

Wenjian Bi is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Wenjian Bi has authored 46 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 19 papers in Molecular Biology and 5 papers in Statistics and Probability. Recurrent topics in Wenjian Bi's work include Genetic Associations and Epidemiology (21 papers), Genetic and phenotypic traits in livestock (10 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Wenjian Bi is often cited by papers focused on Genetic Associations and Epidemiology (21 papers), Genetic and phenotypic traits in livestock (10 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Wenjian Bi collaborates with scholars based in China, United States and South Korea. Wenjian Bi's co-authors include Yanlong Zhao, Seunggeun Lee, Ting Wang, Lars G. Fritsche, Wei Zhou, Zhangchen Zhao, Bhramar Mukherjee, Guolian Kang, Mark J. Daly and Benjamin M. Neale and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Wenjian Bi

43 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjian Bi China 17 316 260 81 74 59 46 800
Kazuko Itoh Japan 24 315 1.0× 185 0.7× 72 0.9× 234 3.2× 132 2.2× 102 1.9k
Gao Wang China 18 835 2.6× 709 2.7× 170 2.1× 27 0.4× 25 0.4× 60 1.6k
Quanhong Wang China 26 678 2.1× 77 0.3× 214 2.6× 9 0.1× 39 0.7× 71 1.9k
H. Maaß Germany 16 261 0.8× 150 0.6× 108 1.3× 72 1.0× 36 0.6× 105 1.2k
Jongjoo Lee South Korea 17 766 2.4× 84 0.3× 110 1.4× 51 0.7× 19 0.3× 63 1.2k
Junil Kim South Korea 22 1.0k 3.2× 105 0.4× 178 2.2× 13 0.2× 32 0.5× 67 1.4k
Mulin Jun Li China 19 882 2.8× 496 1.9× 164 2.0× 19 0.3× 68 1.2× 45 1.4k
Richa Batra Germany 15 368 1.2× 34 0.1× 103 1.3× 19 0.3× 41 0.7× 30 813
Konrad Rawlik United Kingdom 16 360 1.1× 496 1.9× 53 0.7× 48 0.6× 98 1.7× 30 1.1k
Florian Kraft Germany 16 241 0.8× 99 0.4× 35 0.4× 35 0.5× 176 3.0× 45 779

Countries citing papers authored by Wenjian Bi

Since Specialization
Citations

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

Fields of papers citing papers by Wenjian Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjian Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjian Bi. A scholar is included among the top collaborators of Wenjian Bi 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 Wenjian Bi. Wenjian Bi 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.
Xu, He, Linlin Xu, Yin Li, et al.. (2025). SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits. Nature Communications. 16(1). 1413–1413. 1 indexed citations
2.
Sun, Yaoyao, Yuyanan Zhang, Zhe Lu, et al.. (2025). Multitrait GWAS of non-suicidal self-injury and the polygenetic effects on child psychopathology and brain structures. Cell Reports Medicine. 6(5). 102119–102119.
3.
Li, Yin, Jie Fang, Yanhuai Ding, et al.. (2025). β-propeller protein-associated neurodegeneration protein WDR45 regulates stress granule disassembly via phase separation with Caprin-1. Nature Communications. 16(1). 5227–5227.
4.
Sun, Yaoyao, Yundan Liao, Yuyanan Zhang, et al.. (2025). Genome-wide interaction association analysis identifies interactive effects of childhood maltreatment and kynurenine pathway on depression. Nature Communications. 16(1). 1748–1748. 3 indexed citations
5.
Zhao, Yanlong, et al.. (2025). Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks. Nature Communications. 16(1). 3064–3064. 2 indexed citations
6.
Xu, He, Ying Li, Hyesung Kim, et al.. (2025). SPAmix: a scalable, accurate, and universal analysis framework for large-scale genetic association studies in admixed populations. Genome biology. 26(1). 356–356. 1 indexed citations
7.
Bi, Wenjian, et al.. (2023). Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank. The American Journal of Human Genetics. 110(5). 762–773. 4 indexed citations
8.
Tang, Ya‐Ping, et al.. (2023). Modified sodium acetate trihydrate/expanded perlite composite phase change material encapsulated by epoxy resin for radiant floor heating. Journal of Energy Storage. 65. 107374–107374. 31 indexed citations
9.
Wolford, Brooke N., Kisung Nam, Wenjian Bi, et al.. (2022). Incorporating family disease history and controlling case–control imbalance for population-based genetic association studies. Bioinformatics. 38(18). 4337–4343. 3 indexed citations
10.
Zhou, Wei, Wenjian Bi, Zhangchen Zhao, et al.. (2022). SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests. Nature Genetics. 54(10). 1466–1469. 51 indexed citations
11.
Bi, Wenjian & Seunggeun Lee. (2021). Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data. Frontiers in Genetics. 12. 682638–682638. 4 indexed citations
12.
Bi, Wenjian, Lars G. Fritsche, Bhramar Mukherjee, Sehee Kim, & Seunggeun Lee. (2020). A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank. The American Journal of Human Genetics. 107(2). 222–233. 51 indexed citations
13.
Flanagan, Jonathan M., Guolian Kang, Wenjian Bi, et al.. (2019). GSTM1 and Liver Iron Content in Children with Sickle Cell Anemia and Iron Overload. Journal of Clinical Medicine. 8(11). 1878–1878. 2 indexed citations
14.
Bi, Wenjian, Zhangchen Zhao, Rounak Dey, et al.. (2019). A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank. The American Journal of Human Genetics. 105(6). 1182–1192. 20 indexed citations
15.
Bi, Wenjian, Guolian Kang, & Stanley Pounds. (2018). Statistical selection of biological models for genome-wide association analyses. Methods. 145. 67–75. 4 indexed citations
16.
Hall, Trent, Megan Walker, Per Holmfeldt, et al.. (2017). Nfix  Promotes Survival of Immature Hematopoietic Cells Via Regulation of C-Mpl. Blood. 130. 2423. 1 indexed citations
17.
Kang, Guolian, Wenjian Bi, Hang Zhang, et al.. (2017). A Robust and Powerful Set-Valued Approach to Rare Variant Association Analyses of Secondary Traits in Case-Control Sequencing Studies. Genetics. 205(3). 1049–1062. 6 indexed citations
18.
Kang, Guolian, Wenjian Bi, Yanlong Zhao, et al.. (2014). A New System Identification Approach to Identify Genetic Variants in Sequencing Studies for a Binary Phenotype. Human Heredity. 78(2). 104–116. 16 indexed citations
19.
Bi, Wenjian, Yanlong Zhao, Chenxing Liu, & Weihua Yue. (2013). Set-valued analysis for genome-wide association studies of complex diseases. 8262–8267. 4 indexed citations
20.
Bi, Wenjian, et al.. (2012). A STRONG CONNECTIVITY DECOMPOSITION METHOD FOR ANALYZING THE MULTI-EQUILIBRIUM PROPERTY OF GENERAL METABOLIC NETWORKS. 32(6). 653–665. 1 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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