Xingjie Shi

911 total citations
32 papers, 516 citations indexed

About

Xingjie Shi is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Xingjie Shi has authored 32 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Statistics and Probability. Recurrent topics in Xingjie Shi's work include Gene expression and cancer classification (14 papers), Genetic Associations and Epidemiology (10 papers) and Bioinformatics and Genomic Networks (7 papers). Xingjie Shi is often cited by papers focused on Gene expression and cancer classification (14 papers), Genetic Associations and Epidemiology (10 papers) and Bioinformatics and Genomic Networks (7 papers). Xingjie Shi collaborates with scholars based in China, United States and Singapore. Xingjie Shi's co-authors include Shuangge Ma, Jin Liu, Jian Huang, Yi Yang, Qing Zhao, Wei Liu, Xu Liao, Yuling Jiao, Can Yang and Joe Yeong and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Xingjie Shi

31 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xingjie Shi China	14	353	156	63	52	39	32	516
Hege Bøvelstad Norway	8	236 0.7×	96 0.6×	81 1.3×	83 1.6×	24 0.6×	10	466
Christian Tiemann Netherlands	11	429 1.2×	91 0.6×	10 0.2×	19 0.4×	31 0.8×	14	623
Ung-Sik Yu South Korea	5	467 1.3×	73 0.5×	9 0.1×	56 1.1×	22 0.6×	11	567
Hui‐Min Lin United States	8	211 0.6×	36 0.2×	25 0.4×	108 2.1×	61 1.6×	13	385
Lorenz Adlung Germany	8	243 0.7×	47 0.3×	9 0.1×	23 0.4×	31 0.8×	15	455
Jiaqiang Zhu China	9	612 1.7×	29 0.2×	19 0.3×	101 1.9×	101 2.6×	16	729
Lucy Xia United States	7	95 0.3×	66 0.4×	23 0.4×	32 0.6×	7 0.2×	16	196
Stefanie Scheid Germany	9	228 0.6×	35 0.2×	31 0.5×	26 0.5×	22 0.6×	14	333
Padma Reddy United States	7	137 0.4×	90 0.6×	16 0.3×	53 1.0×	87 2.2×	9	356
Joanna Zhuang United Kingdom	9	452 1.3×	203 1.3×	6 0.1×	109 2.1×	29 0.7×	9	600

Countries citing papers authored by Xingjie Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xingjie Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjie Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjie Shi. A scholar is included among the top collaborators of Xingjie Shi 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 Xingjie Shi. Xingjie Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tang, Junjie, et al.. (2025). Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics. Bioinformatics. 41(4). 2 indexed citations

Zhang, Chao, Shiqiang Hou, Ziying Wu, et al.. (2025). Self-Assembling Nanoparticles Orchestrate Cuproptosis-Immunotherapy Synergy to Suppress Postoperative Glioma Recurrence. ACS Applied Materials & Interfaces. 17(47). 64322–64339.

Liu, Shuang, et al.. (2025). Estimation of Machine Learning–Based Models to Predict Dementia Risk in Patients With Atherosclerotic Cardiovascular Diseases: UK Biobank Study. JMIR Aging. 8. e64148–e64148. 1 indexed citations

Li, Xuan, Yincai Tang, Jingsi Ming, & Xingjie Shi. (2025). A Bayesian hierarchical model with spatially varying dispersion for reference-free cell type deconvolution in spatial transcriptomics. RePEc: Research Papers in Economics. 9(2). 178–212. 2 indexed citations

Shi, Xingjie, et al.. (2024). A mendelian randomization study investigates the causal relationship between immune cell phenotypes and cerebral aneurysm. Frontiers in Genetics. 15. 1333855–1333855. 6 indexed citations

Zhang, Jing, Xiao Zhang, Xingjie Shi, et al.. (2023). CXCL9, 10, 11/CXCR3 Axis Contributes to the Progress of Primary Sjogren’s Syndrome by Activating GRK2 to Promote T Lymphocyte Migration. Inflammation. 46(3). 1047–1060. 13 indexed citations

Shi, Xingjie, Yi Yang, Xiaohui Ma, et al.. (2023). Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnno. Nucleic Acids Research. 51(22). e115–e115. 1 indexed citations

Liu, Wei, Xu Liao, Yi Yang, et al.. (2023). Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST. Nature Communications. 14(1). 296–296. 56 indexed citations

Liu, Wei, Xu Liao, Yi Yang, et al.. (2022). Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data. Nucleic Acids Research. 50(12). e72–e72. 41 indexed citations

10.

Yang, Yi, Xingjie Shi, Wei Liu, et al.. (2021). SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes. Briefings in Bioinformatics. 23(1). 50 indexed citations

11.

Shi, Xingjie, Can Yang, & Jin Liu. (2021). Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Association Studies. Methods in molecular biology. 2212. 93–103. 1 indexed citations

12.

Cheng, Qing, Yi Yang, Xingjie Shi, et al.. (2020). MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy. NAR Genomics and Bioinformatics. 2(2). lqaa028–lqaa028. 33 indexed citations

13.

Shi, Xingjie, Xiaoran Chai, Yi Yang, et al.. (2020). A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies. Nucleic Acids Research. 48(19). e109–e109. 20 indexed citations

14.

Liao, Xu, Xiaoran Chai, Xingjie Shi, Lin Chen, & Jin Liu. (2020). The statistical practice of the GTEx Project: from single to multiple tissues. Quantitative Biology. 9(2). 151–167. 3 indexed citations

15.

Yang, Yi, Xingjie Shi, Yuling Jiao, et al.. (2019). CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinformatics. 36(7). 2009–2016. 26 indexed citations

16.

Shi, Xingjie, Yuling Jiao, Yi Yang, et al.. (2019). VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinformatics. 35(19). 3693–3700. 9 indexed citations

17.

Shi, Xingjie, et al.. (2019). Horizontal and vertical integrative analysis methods for mental disorders omics data. Scientific Reports. 9(1). 13430–13430. 7 indexed citations

18.

Shi, Xingjie, Yuan Huang, Jian Huang, & Shuangge Ma. (2018). A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. Computational Statistics & Data Analysis. 124. 235–251. 6 indexed citations

19.

Jiang, Yu, Xingjie Shi, Qing Zhao, et al.. (2016). Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis. Genomics. 107(6). 223–230. 41 indexed citations

20.

Liu, Jin, Can Yang, Xingjie Shi, et al.. (2016). Analyzing Association Mapping in Pedigree‐Based GWAS Using a Penalized Multitrait Mixed Model. Genetic Epidemiology. 40(5). 382–393. 10 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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