Sijian Wang

3.9k total citations
90 papers, 2.8k citations indexed

About

Sijian Wang is a scholar working on Molecular Biology, Statistics and Probability and Genetics. According to data from OpenAlex, Sijian Wang has authored 90 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Statistics and Probability and 15 papers in Genetics. Recurrent topics in Sijian Wang's work include Statistical Methods and Inference (17 papers), Gene expression and cancer classification (12 papers) and Genetic and phenotypic traits in livestock (7 papers). Sijian Wang is often cited by papers focused on Statistical Methods and Inference (17 papers), Gene expression and cancer classification (12 papers) and Genetic and phenotypic traits in livestock (7 papers). Sijian Wang collaborates with scholars based in United States, China and Canada. Sijian Wang's co-authors include Ji Zhu, Qianxing Mo, Bin Nan, Xu Yan, Biyao Wang, Yue Hu, Qixuan Chen, Marc Ladanyi, Nikolaus Schultz and Venkatraman Seshan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Sijian Wang

84 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sijian Wang United States 28 1.2k 368 330 272 256 90 2.8k
Joseph E. Lucas United States 26 1.3k 1.0× 522 1.4× 134 0.4× 234 0.9× 179 0.7× 69 2.9k
Jiang Gui United States 35 1.1k 0.9× 329 0.9× 219 0.7× 775 2.8× 459 1.8× 156 3.8k
Juliane Schäfer Switzerland 22 1.3k 1.0× 219 0.6× 349 1.1× 82 0.3× 221 0.9× 51 3.0k
Baolin Wu United States 32 2.0k 1.7× 277 0.8× 88 0.3× 196 0.7× 408 1.6× 141 3.8k
Christine B. Peterson United States 27 1.2k 1.0× 143 0.4× 101 0.3× 309 1.1× 231 0.9× 173 2.8k
Min Chen China 37 2.5k 2.0× 240 0.7× 149 0.5× 426 1.6× 352 1.4× 227 5.0k
Ming Tan United States 37 1.3k 1.1× 359 1.0× 746 2.3× 1.1k 3.9× 185 0.7× 175 5.4k
Franck Picard France 24 1.1k 0.9× 145 0.4× 135 0.4× 116 0.4× 435 1.7× 79 2.6k
Fei Zou United States 32 1.2k 1.0× 153 0.4× 222 0.7× 109 0.4× 1.2k 4.7× 163 3.4k
Paolo Vicini United States 34 1000 0.8× 262 0.7× 248 0.8× 613 2.3× 215 0.8× 127 3.8k

Countries citing papers authored by Sijian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sijian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sijian Wang. A scholar is included among the top collaborators of Sijian Wang 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 Sijian Wang. Sijian Wang 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.
Wei, Jia, Lei Tang, Sijian Wang, et al.. (2025). TLR4 identified as a major depressive disorder gene signature mediating effects through multiple immune cells. Scientific Reports. 15(1). 12437–12437. 2 indexed citations
2.
Wang, Sijian, et al.. (2024). Normalized penalty gradient flow: A continuous-time approach for solving constrained nonconvex nonsmooth optimization problems. Neurocomputing. 581. 127518–127518. 1 indexed citations
3.
Wang, Sijian, et al.. (2024). A coupled electromagnetic-mechanical model and contact behavior of the superconducting coils. Applied Mathematical Modelling. 133. 491–511. 2 indexed citations
4.
Wang, Sijian, Huadong Yong, & Youhe Zhou. (2024). Modeling of contact resistivity and simplification of 3D homogenization strategy for the H formulation. Superconductor Science and Technology. 37(7). 75019–75019. 6 indexed citations
5.
Wang, Sijian, Zihan Wang, Yiming Jiang, et al.. (2023). Critical roles of PU.1/cathepsin S activation in regulating inflammatory responses of macrophages in periodontitis. Journal of Periodontal Research. 58(5). 939–947. 3 indexed citations
6.
Wang, Sijian, Huadong Yong, & Youhe Zhou. (2023). Numerical calculations of high temperature superconductors with the J-A formulation. Superconductor Science and Technology. 36(11). 115020–115020. 17 indexed citations
7.
Liu, Yuanhao, et al.. (2023). Chemical features and machine learning assisted predictions of protein-ligand short hydrogen bonds. Scientific Reports. 13(1). 13741–13741.
8.
Li, Dawei, Lijie Cui, Sijian Wang, & Xuanhui Qu. (2023). Research on Aviation Maintenance Quality Control Technology Based on Intelligent Glasses. 241–245.
9.
Wang, Sijian, Miao Liu, Yiwen Zhang, et al.. (2022). Targeting autophagy in atherosclerosis: Advances and therapeutic potential of natural bioactive compounds from herbal medicines and natural products. Biomedicine & Pharmacotherapy. 155. 113712–113712. 18 indexed citations
10.
Liu, Yuanhao, et al.. (2022). Effective prediction of short hydrogen bonds in proteins via machine learning method. Scientific Reports. 12(1). 469–469. 8 indexed citations
11.
Wang, Sijian, et al.. (2022). Global Survey, Expressions and Association Analysis of CBLL Genes in Peanut. Frontiers in Genetics. 13. 821163–821163. 1 indexed citations
12.
Wang, Sijian, et al.. (2022). Ion Channel Dysfunction in Astrocytes in Neurodegenerative Diseases. Frontiers in Physiology. 13. 814285–814285. 38 indexed citations
13.
Li, Jian, Haiyang Yu, Sijian Wang, et al.. (2018). Natural products, an important resource for discovery of <br />multitarget drugs and functional food for regulation of hepatic glucose metabolism. Drug Design Development and Therapy. Volume 12. 121–135. 24 indexed citations
14.
Shao, Chenghua, et al.. (2018). Outlier analyses of the Protein Data Bank archive using a probability-density-ranking approach. Scientific Data. 5(1). 180293–180293. 6 indexed citations
15.
Chen, Qian, Tingting Wang, Jian Li, et al.. (2017). Effects of Natural Products on Fructose-Induced Nonalcoholic Fatty Liver Disease (NAFLD). Nutrients. 9(2). 96–96. 133 indexed citations
16.
Li, Quefeng, Menggang Yu, & Sijian Wang. (2017). A statistical framework for pathway and gene identification from integrative analysis. Journal of Multivariate Analysis. 156. 1–17. 1 indexed citations
17.
He, Zangdong, et al.. (2015). Simultaneous variable selection for joint models of longitudinal and survival outcomes. PMC.
18.
He, Qianchuan, et al.. (2015). Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits. Computational Statistics & Data Analysis. 95. 222–239. 21 indexed citations
19.
Lin, Yunzhi, Sijian Wang, & Richard J. Chappell. (2012). Lasso tree for cancer staging with survival data. Biostatistics. 14(2). 327–339. 7 indexed citations
20.
Adler, Jeremy, et al.. (2008). College adjustment in University of Michigan students with Crohnʼs and colitis. Inflammatory Bowel Diseases. 14(9). 1281–1286. 40 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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