Shuilin Jin

2.1k total citations
50 papers, 1.2k citations indexed

About

Shuilin Jin is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Shuilin Jin has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Genetics and 10 papers in Cancer Research. Recurrent topics in Shuilin Jin's work include Single-cell and spatial transcriptomics (11 papers), Gene expression and cancer classification (9 papers) and Cancer-related molecular mechanisms research (8 papers). Shuilin Jin is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Gene expression and cancer classification (9 papers) and Cancer-related molecular mechanisms research (8 papers). Shuilin Jin collaborates with scholars based in China, United States and Japan. Shuilin Jin's co-authors include Qinghua Jiang, Yadong Wang, Yu Li, Guiyou Liu, Guohua Wang, Jiajie Peng, Renjie Tan, Rui Ma, Yang Hu and Wenyang Zhou and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Shuilin Jin

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuilin Jin China	18	740	365	178	116	79	50	1.2k
Jianrong Li United States	23	1.2k 1.6×	544 1.5×	168 0.9×	40 0.3×	57 0.7×	67	1.6k
Jie Bao China	24	668 0.9×	241 0.7×	76 0.4×	76 0.7×	55 0.7×	85	1.6k
Jacek Biesiada United States	23	757 1.0×	491 1.3×	83 0.5×	69 0.6×	157 2.0×	48	1.6k
Chan Yeong Kim South Korea	13	1.3k 1.8×	338 0.9×	145 0.8×	80 0.7×	62 0.8×	18	1.9k
Mingzhi Liao China	25	832 1.1×	300 0.8×	380 2.1×	290 2.5×	52 0.7×	74	1.6k
Pablo Marín-García Spain	13	839 1.1×	157 0.4×	175 1.0×	165 1.4×	106 1.3×	24	1.4k
Sunmo Yang South Korea	15	1.4k 1.9×	342 0.9×	176 1.0×	79 0.7×	51 0.6×	28	2.1k
Konstantinos Sidiropoulos United Kingdom	9	650 0.9×	163 0.4×	95 0.5×	102 0.9×	55 0.7×	23	1.2k
Albert Pallejá Denmark	10	812 1.1×	207 0.6×	175 1.0×	234 2.0×	30 0.4×	15	1.2k
Mehmet Sait Inan United States	13	834 1.1×	304 0.8×	157 0.9×	92 0.8×	40 0.5×	20	1.4k

Countries citing papers authored by Shuilin Jin

Since Specialization

Citations

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

Fields of papers citing papers by Shuilin Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuilin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shuilin Jin. A scholar is included among the top collaborators of Shuilin Jin 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 Shuilin Jin. Shuilin Jin 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

Wang, Weihao, et al.. (2025). A comparison of integration methods for single‐cell RNA sequencing data and ATAC sequencing data. Quantitative Biology. 13(2). e91–e91.

Qi, Jing, et al.. (2025). scGT:integration algorithm for single-cell RNA-seq and ATAC-seq based on graph transformer. Bioinformatics. 41(7). 1 indexed citations

Zhang, Zhongxiao, et al.. (2025). Integration of unpaired single cell omics data by deep transfer graph convolutional network. PLoS Computational Biology. 21(1). e1012625–e1012625. 1 indexed citations

Zhou, Yang, et al.. (2023). Accurate integration of multiple heterogeneous single-cell RNA-seq data sets by learning contrastive biological variation. Genome Research. 33(5). 750–762. 2 indexed citations

Qi, Jing, et al.. (2022). scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information. Cell & Bioscience. 12(1). 142–142. 5 indexed citations

Wang, Nan & Shuilin Jin. (2022). Meta-Analysis for Epigenome-Wide Association Studies. Methods in molecular biology. 2432. 101–111. 1 indexed citations

Qi, Jing, et al.. (2021). SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data. PLoS Computational Biology. 17(6). e1009118–e1009118. 7 indexed citations

Liu, Hongkun, et al.. (2020). LAK: Lasso and K-Means Based Single-Cell RNA-Seq Data Clustering Analysis. IEEE Access. 8. 129679–129688. 13 indexed citations

Wang, Nan, L. Xu, Jing Qi, et al.. (2020). A novel estimator of between-study variance in random-effects models. BMC Genomics. 21(1). 149–149. 3 indexed citations

10.

He, Yating, Haihua Zhang, Tao Wang, et al.. (2020). Impact of Serum Calcium Levels on Alzheimer’s Disease: A Mendelian Randomization Study. Journal of Alzheimer s Disease. 76(2). 713–724. 27 indexed citations

11.

Wang, Pingping, Xiyun Jin, Wenyang Zhou, et al.. (2020). Comprehensive analysis of TCR repertoire in COVID-19 using single cell sequencing. Genomics. 113(2). 456–462. 45 indexed citations

12.

Zhan, Qing, Nan Wang, Shuilin Jin, et al.. (2019). ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function. BMC Bioinformatics. 20(S18). 573–573. 12 indexed citations

13.

Han, Zhifa, Tao Wang, Wenyang Zhou, et al.. (2019). BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations. BMC Bioinformatics. 20(S25). 691–691. 10 indexed citations

14.

Zhang, Lejun, et al.. (2018). Meta-analysis of association between TCF7L2 polymorphism rs7903146 and type 2 diabetes mellitus. BMC Medical Genetics. 19(1). 38–38. 59 indexed citations

15.

Liu, Guiyou, Yi Zhao, Shuilin Jin, et al.. (2018). Circulating vitamin E levels and Alzheimer's disease: a Mendelian randomization study. Neurobiology of Aging. 72. 189.e1–189.e9. 56 indexed citations

16.

Hu, Yang, Wenyang Zhou, Jun Ren, et al.. (2016). Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology. BioMed Research International. 2016. 1–8. 17 indexed citations

17.

Wan, Guoqiang, Wenyang Zhou, Yang Hu, et al.. (2016). Transcriptional Regulation of lncRNA Genes by Histone Modification in Alzheimer’s Disease. BioMed Research International. 2016. 1–4. 28 indexed citations

18.

Li, Xu, Shuilin Jin, & Guisheng Yin. (2014). A Track Association Algorithm Based on Leader-Follower On-line Clustering in Dense Target Environments. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Jin, Shuilin. (2010). Characterization of Quantum Independence by Joint Numerical Range. Journal of Jilin University(Science Edition).

20.

Jin, Shuilin. (2002). A Class of Strong Limit Theorems for Countable Non-homogeneous Markov Chains.

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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