Minglei Shi

1.4k total citations
40 papers, 820 citations indexed

About

Minglei Shi is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Aerospace Engineering. According to data from OpenAlex, Minglei Shi has authored 40 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 5 papers in Electronic, Optical and Magnetic Materials and 4 papers in Aerospace Engineering. Recurrent topics in Minglei Shi's work include RNA Research and Splicing (15 papers), Genomics and Chromatin Dynamics (11 papers) and RNA modifications and cancer (8 papers). Minglei Shi is often cited by papers focused on RNA Research and Splicing (15 papers), Genomics and Chromatin Dynamics (11 papers) and RNA modifications and cancer (8 papers). Minglei Shi collaborates with scholars based in China, United States and India. Minglei Shi's co-authors include Yang Chen, Zhihu Zhao, Tingting Li, Chunyu Yu, Wenlong Shen, Boyan Shen, Kaiqiang You, Michael Q. Zhang, Qi Huang and Ping Li and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Minglei Shi

38 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minglei Shi China	16	613	70	65	57	53	40	820
Deqiang Yao China	16	512 0.8×	137 2.0×	32 0.5×	58 1.0×	36 0.7×	40	817
Sangya Pundir United Kingdom	9	376 0.6×	44 0.6×	25 0.4×	62 1.1×	34 0.6×	10	618
Giacomo Janson Italy	11	394 0.6×	34 0.5×	24 0.4×	43 0.8×	36 0.7×	18	566
Debashish Sahu United States	13	475 0.8×	36 0.5×	39 0.6×	25 0.4×	39 0.7×	30	626
Alfredo Cabrera‐Orefice Netherlands	18	577 0.9×	40 0.6×	31 0.5×	22 0.4×	25 0.5×	41	752
Shane L. Hubler United States	9	483 0.8×	77 1.1×	23 0.4×	42 0.7×	57 1.1×	12	696
Yi‐Ting Liao Taiwan	8	258 0.4×	50 0.7×	25 0.4×	44 0.8×	51 1.0×	19	476
Christophe Wirth Germany	13	1.0k 1.6×	53 0.8×	36 0.6×	163 2.9×	36 0.7×	25	1.3k
Ganesh Sriram United States	17	705 1.2×	167 2.4×	44 0.7×	62 1.1×	45 0.8×	48	1.1k
Hanna G. Budayeva United States	10	423 0.7×	34 0.5×	54 0.8×	49 0.9×	90 1.7×	14	809

Countries citing papers authored by Minglei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Minglei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglei Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Hongjun, Wenyan Cheng, Minglei Shi, et al.. (2025). HemaScope: A Tool for Analyzing Single-cell and Spatial Transcriptomics Data of Hematopoietic Cells. Genomics Proteomics & Bioinformatics. 23(2). 1 indexed citations

Jia, Lumeng, Yingping Hou, Xin Luo, et al.. (2025). SCOPE-C reveals long-range enhancer networks emerging as key regulators during human cortical neurogenesis. Neuron. 113(23). 4020–4036.e8.

Hao, Jie, Jilong Ren, Jinghuan Yang, et al.. (2025). Single‐cell multi‐omics deciphers hepatocyte dedifferentiation and illuminates maintenance strategies. Cell Proliferation. 58(3). e13772–e13772. 2 indexed citations

Chen, Tong, Yongxin Liu, Tao Chen, et al.. (2024). ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research. SHILAP Revista de lepidopterología. 3(5). e239–e239. 29 indexed citations

Lin, Zhi‐Kang, et al.. (2024). Research on cotton pest and disease identification method based on RegNet-CMTL. 1358–1363. 1 indexed citations

Wang, Yuqian, Zhenzhen Zhang, Hanqing He, et al.. (2023). Aging-induced pseudouridine synthase 10 impairs hematopoietic stem cells. Haematologica. 108(10). 2677–2689. 5 indexed citations

Shi, Yi, Qianlong Liu, Zhenzhen Zhang, et al.. (2023). BRD4-targeting PROTAC as a unique tool to study biomolecular condensates. Cell Discovery. 9(1). 47–47. 37 indexed citations

Shen, Wenlong, Yan Zhang, Minglei Shi, et al.. (2022). Profiling and characterization of constitutive chromatin-enriched RNAs. iScience. 25(11). 105349–105349. 8 indexed citations

Yuan, Zhiyuan, Yisi Li, Minglei Shi, et al.. (2022). SOTIP is a versatile method for microenvironment modeling with spatial omics data. Nature Communications. 13(1). 7330–7330. 24 indexed citations

10.

Yuan, Zhiyuan, Qiming Zhou, Lesi Cai, et al.. (2021). SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment. Nature Methods. 18(10). 1223–1232. 98 indexed citations

11.

Yang, Lu, Fengling Chen, Haichuan Zhu, et al.. (2021). 3D genome alterations associated with dysregulated HOXA13 expression in high-risk T-lineage acute lymphoblastic leukemia. Nature Communications. 12(1). 3708–3708. 36 indexed citations

12.

Shi, Minglei, Kaiqiang You, Taoyu Chen, et al.. (2021). Quantifying the phase separation property of chromatin-associated proteins under physiological conditions using an anti-1,6-hexanediol index. Genome biology. 22(1). 229–229. 30 indexed citations

13.

Yu, Chunyu, Boyan Shen, Kaiqiang You, et al.. (2020). Proteome-scale analysis of phase-separated proteins in immunofluorescence images. Briefings in Bioinformatics. 22(3). 15 indexed citations

14.

You, Kaiqiang, Qi Huang, Chunyu Yu, et al.. (2019). PhaSepDB: a database of liquid–liquid phase separation related proteins. Nucleic Acids Research. 48(D1). D354–D359. 148 indexed citations

15.

Shen, Wenlong, et al.. (2018). Intein-mediated backbone cyclization of entolimod confers enhanced radioprotective activity in mouse models. PeerJ. 6. e5043–e5043. 2 indexed citations

16.

Shen, Wenlong, Dong Wang, Bingyu Ye, et al.. (2015). A possible role of Drosophila CTCF in mitotic bookmarking and maintaining chromatin domains during the cell cycle. Biological Research. 48(1). 27–27. 13 indexed citations

17.

Zhang, Yan, Wenlong Shen, Minglei Shi, et al.. (2014). Involvement of aberrant miR-139/Jun feedback loop in human gastric cancer. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(2). 481–488. 26 indexed citations

18.

Wang, Yang, et al.. (2012). CTCF Mediates the Cell-Type Specific Spatial Organization of the Kcnq5 Locus and the Local Gene Regulation. PLoS ONE. 7(2). e31416–e31416. 16 indexed citations

19.

Shi, Minglei, et al.. (2011). CTCF and cohesin cooperatively mediate the cell-type specific interchromatin interaction between Bcl11b and Arhgap6 loci. Molecular and Cellular Biochemistry. 360(1-2). 243–251. 7 indexed citations

20.

Shi, Minglei, Zhihu Zhao, Yang Wang, & Huipeng Chen. (2009). <I>In vivo</I> delivery of siRNA. Hereditas (Beijing). 31(7). 683–688. 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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