Jingsi Ming

708 total citations
11 papers, 243 citations indexed

About

Jingsi Ming is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jingsi Ming has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Jingsi Ming's work include Genetic Associations and Epidemiology (5 papers), Single-cell and spatial transcriptomics (5 papers) and Genetic and phenotypic traits in livestock (3 papers). Jingsi Ming is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Single-cell and spatial transcriptomics (5 papers) and Genetic and phenotypic traits in livestock (3 papers). Jingsi Ming collaborates with scholars based in China, Hong Kong and Singapore. Jingsi Ming's co-authors include Can Yang, Jin Liu, Jia Zhao, Xianghong Hu, Gang Chen, Xiang Wan, Shuyang Dai, Mingxuan Cai, Angela Ruohao Wu and Stephen R. Quake and has published in prestigious journals such as Bioinformatics, eLife and Briefings in Bioinformatics.

In The Last Decade

Jingsi Ming

9 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingsi Ming China 8 112 102 32 30 27 11 243
Daniel Taliun United States 9 145 1.3× 220 2.2× 41 1.3× 44 1.5× 26 1.0× 15 413
Nizar Ben Halim Tunisia 10 109 1.0× 110 1.1× 21 0.7× 27 0.9× 34 1.3× 22 260
Ha My T. Vy United States 9 100 0.9× 121 1.2× 25 0.8× 19 0.6× 16 0.6× 19 281
Ekaterina Yonova-Doing United Kingdom 3 101 0.9× 99 1.0× 13 0.4× 42 1.4× 20 0.7× 3 225
Ai‐Ru Hsieh Taiwan 10 77 0.7× 71 0.7× 23 0.7× 74 2.5× 24 0.9× 40 301
Rita Bertalan Hungary 10 187 1.7× 141 1.4× 21 0.7× 18 0.6× 42 1.6× 23 328
Damian Gola Germany 10 93 0.8× 113 1.1× 16 0.5× 37 1.2× 19 0.7× 14 268
Jingning Zhang United States 4 85 0.8× 104 1.0× 13 0.4× 17 0.6× 12 0.4× 7 204
Matthew J. Seasock United States 5 192 1.7× 64 0.6× 24 0.8× 24 0.8× 22 0.8× 8 358
Sylwia Kuć Netherlands 9 129 1.2× 42 0.4× 27 0.8× 17 0.6× 20 0.7× 11 532

Countries citing papers authored by Jingsi Ming

Since Specialization
Citations

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

Fields of papers citing papers by Jingsi Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingsi Ming

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

All Works

11 of 11 papers shown
1.
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
2.
Xiao, Jiashun, et al.. (2024). Funmap: integrating high-dimensional functional annotations to improve fine-mapping. Bioinformatics. 41(1).
3.
Huang, Siyuan, et al.. (2024). Spatial transcriptomics: a new frontier in cancer research. 3(1). 11 indexed citations
4.
Ming, Jingsi, Zhixiang Lin, Jia Zhao, et al.. (2022). FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets. Briefings in Bioinformatics. 23(5). 14 indexed citations
5.
Ming, Jingsi, Jia Zhao, & Can Yang. (2022). scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis. Statistics in Biosciences. 15(3). 633–656.
6.
Olivieri, Julia, Roozbeh Dehghannasiri, Peter L. Wang, et al.. (2021). RNA splicing programs define tissue compartments and cell types at single-cell resolution. eLife. 10. 30 indexed citations
7.
Ming, Jingsi, Tao Wang, & Can Yang. (2019). LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations. Bioinformatics. 36(8). 2506–2514. 9 indexed citations
8.
Cai, Mingxuan, Shuyang Dai, Jingsi Ming, et al.. (2019). BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications. Journal of Computational and Graphical Statistics. 29(1). 40–52. 8 indexed citations
9.
Zhao, Jia, Jingsi Ming, Xianghong Hu, et al.. (2019). Bayesian weighted Mendelian randomization for causal inference based on summary statistics. Bioinformatics. 36(5). 1501–1508. 144 indexed citations
10.
Ming, Jingsi, Shuyang Dai, Mingxuan Cai, et al.. (2018). LSMM: a statistical approach to integrating functional annotations with genome-wide association studies. Bioinformatics. 34(16). 2788–2796. 15 indexed citations
11.
Dai, Shuyang, Jingsi Ming, Mingxuan Cai, et al.. (2017). IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. Bioinformatics. 33(18). 2882–2889. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniel Taliun Breakdown of academic impact, for papers by Nizar Ben Halim Breakdown of academic impact, for papers by Ha My T. Vy Breakdown of academic impact, for papers by Ekaterina Yonova-Doing Breakdown of academic impact, for papers by Ai‐Ru Hsieh Breakdown of academic impact, for papers by Rita Bertalan Breakdown of academic impact, for papers by Damian Gola Breakdown of academic impact, for papers by Jingning Zhang Breakdown of academic impact, for papers by Matthew J. Seasock Breakdown of academic impact, for papers by Sylwia Kuć
Rankless by CCL
2026