Hailing Shi

20.1k total citations · 12 hit papers
36 papers, 10.9k citations indexed

About

Hailing Shi is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering. According to data from OpenAlex, Hailing Shi has authored 36 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Cancer Research and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Hailing Shi's work include RNA modifications and cancer (25 papers), RNA Research and Splicing (20 papers) and Cancer-related molecular mechanisms research (10 papers). Hailing Shi is often cited by papers focused on RNA modifications and cancer (25 papers), RNA Research and Splicing (20 papers) and Cancer-related molecular mechanisms research (10 papers). Hailing Shi collaborates with scholars based in United States, China and Norway. Hailing Shi's co-authors include Chuan He, Zhike Lu, Xiao Wang, Boxuan Zhao, Jiangbo Wei, Honghui Ma, Phillip J. Hsu, Kai Chen, Ian A. Roundtree and Xiaocheng Weng and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hailing Shi

35 papers receiving 10.9k citations

Hit Papers

N6-methyladenosine Modulates Messenger RNA Translation Ef... 2015 2026 2018 2022 2015 2017 2019 2017 2017 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. N6-methyladenosine Modulates Messenger RNA Translation Efficiency
    2015 2.6k citations Xiao Wang, Boxuan Zhao et al. Cell profile →
  2. YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA
    2017 1.4k citations Hailing Shi, Xiao Wang et al. Cell Research profile →
  3. Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers
    2019 1.3k citations Hailing Shi, Jiangbo Wei et al. Molecular Cell profile →
  4. m6A RNA Methylation Regulates the Self-Renewal and Tumorigenesis of Glioblastoma Stem Cells
    2017 967 citations Hailing Shi, Zhike Lu et al. profile →
  5. Ythdc2 is an N6-methyladenosine binding protein that regulates mammalian spermatogenesis
    2017 804 citations Phillip J. Hsu, Honghui Ma et al. Cell Research profile →
  6. Differential m6A, m6Am, and m1A Demethylation Mediated by FTO in the Cell Nucleus and Cytoplasm
    2018 606 citations Jiangbo Wei, Fange Liu et al. Molecular Cell profile →
  7. m6A-dependent maternal mRNA clearance facilitates zebrafish maternal-to-zygotic transition
    2017 430 citations Boxuan Zhao, Xiao Wang et al. Nature profile →
  8. N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis
    2017 427 citations Raghu Ram Edupuganti, Simon Geiger et al. Nature Structural & Molecular Biology profile →
  9. YTHDF3 Induces the Translation of m6A-Enriched Gene Transcripts to Promote Breast Cancer Brain Metastasis
    2020 298 citations Youqiong Ye, Hailing Shi et al. profile →
  10. m6A mRNA methylation controls autophagy and adipogenesis by targeting Atg5 and Atg7
    2019 297 citations Xinxia Wang, Ruifan Wu et al. Autophagy profile →
  11. EGFR/SRC/ERK-stabilized YTHDF2 promotes cholesterol dysregulation and invasive growth of glioblastoma
    2021 231 citations Runping Fang, Xin Chen et al. Nature Communications profile →
  12. Spatially resolved single-cell translatomics at molecular resolution
    2023 103 citations Hu Zeng, Jiahao Huang et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailing Shi United States 25 10.5k 5.1k 1.7k 686 412 36 10.9k
Ian A. Roundtree United States 11 8.6k 0.8× 4.0k 0.8× 1.3k 0.8× 534 0.8× 288 0.7× 11 9.0k
Dan Dominissini Israel 24 8.4k 0.8× 3.9k 0.8× 1.1k 0.7× 468 0.7× 251 0.6× 39 8.7k
Claudio R. Alarcón United States 15 5.3k 0.5× 2.7k 0.5× 313 0.2× 851 1.2× 174 0.4× 16 6.0k
Wengong Wang China 37 3.9k 0.4× 1.6k 0.3× 225 0.1× 501 0.7× 156 0.4× 64 4.8k
Huilin Huang China 27 3.3k 0.3× 1.7k 0.3× 320 0.2× 436 0.6× 170 0.4× 65 3.9k
Sadhan Majumder United States 25 3.1k 0.3× 1.2k 0.2× 181 0.1× 282 0.4× 116 0.3× 48 3.8k
Louis C. Doré United States 19 3.0k 0.3× 1.1k 0.2× 261 0.2× 116 0.2× 91 0.2× 26 3.5k
Francesco Fazi Italy 36 4.4k 0.4× 2.3k 0.4× 55 0.0× 625 0.9× 121 0.3× 92 5.5k
Jingjing Zhao China 27 1.9k 0.2× 1.5k 0.3× 80 0.0× 399 0.6× 182 0.4× 104 2.8k
Mark A. Eckert United States 19 1.7k 0.2× 798 0.2× 128 0.1× 608 0.9× 161 0.4× 32 2.7k

Countries citing papers authored by Hailing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Hailing Shi. A scholar is included among the top collaborators of Hailing 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 Hailing Shi. Hailing Shi 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.
2.
Guo, Zihan, Hang Chen, Kai Li, et al.. (2024). Highly efficient solar seawater evaporation by aerogel with vertical channels and hierarchical pores structure based on high-absorbent alginate fibers. Chemical Engineering Journal. 501. 157562–157562. 14 indexed citations
3.
Ren, Jingyi, Shuchen Luo, Hailing Shi, & Xiao Wang. (2024). Spatial omics advances for in situ RNA biology. Molecular Cell. 84(19). 3737–3757. 18 indexed citations
4.
Zeng, Hu, Jiahao Huang, Jingyi Ren, et al.. (2023). Spatially resolved single-cell translatomics at molecular resolution. Science. 380(6652). eadd3067–eadd3067. 103 indexed citations breakdown →
5.
Shi, Hailing, Yichun He, Yiming Zhou, et al.. (2023). Spatial atlas of the mouse central nervous system at molecular resolution. Nature. 622(7983). 552–561. 85 indexed citations
6.
Zou, Zhongyu, Jiangbo Wei, Yantao Chen, et al.. (2023). FMRP phosphorylation modulates neuronal translation through YTHDF1. Molecular Cell. 83(23). 4304–4317.e8. 55 indexed citations
7.
Li, Qiang, Zuwan Lin, Ren Liu, et al.. (2023). Multimodal charting of molecular and functional cell states via in situ electro-sequencing. Cell. 186(9). 2002–2017.e21. 24 indexed citations
8.
Aditham, Abhishek, Hailing Shi, Hu Zeng, et al.. (2022). Chemically Modified mocRNAs for Highly Efficient Protein Expression in Mammalian Cells. ACS Chemical Biology. 17(12). 3352–3366. 31 indexed citations
9.
Yang, Yang, Yue Feng, Yun Hu, et al.. (2021). Exposure to constant light impairs cognition with FTO inhibition and m6A-dependent TrκB repression in mouse hippocampus. Environmental Pollution. 283. 117037–117037. 17 indexed citations
10.
Fang, Runping, Xin Chen, Sicong Zhang, et al.. (2021). EGFR/SRC/ERK-stabilized YTHDF2 promotes cholesterol dysregulation and invasive growth of glioblastoma. Nature Communications. 12(1). 177–177. 231 indexed citations breakdown →
11.
Zhang, Zijie, Kaixuan Luo, Zhongyu Zou, et al.. (2020). Genetic analyses support the contribution of mRNA N6-methyladenosine (m6A) modification to human disease heritability. Nature Genetics. 52(9). 939–949. 136 indexed citations
12.
Hsu, Phillip J., Kenneth Yan, Hailing Shi, Evgeny Izumchenko, & Nishant Agrawal. (2020). Molecular biology of oral cavity squamous cell carcinoma. Oral Oncology. 102. 104552–104552. 25 indexed citations
13.
Shi, Hailing, Jiangbo Wei, & Chuan He. (2019). Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers. Molecular Cell. 74(4). 640–650. 1319 indexed citations breakdown →
14.
Wang, Xinxia, Ruifan Wu, Youhua Liu, et al.. (2019). m6A mRNA methylation controls autophagy and adipogenesis by targeting Atg5 and Atg7. Autophagy. 16(7). 1221–1235. 297 indexed citations breakdown →
15.
Hsu, Phillip J., Hailing Shi, Allen Zhu, et al.. (2019). The RNA-binding protein FMRP facilitates the nuclear export of N6-methyladenosine–containing mRNAs. Journal of Biological Chemistry. 294(52). 19889–19895. 93 indexed citations
16.
Li, Miaomiao, Xu Zhao, Wei Wang, et al.. (2018). Ythdf2-mediated m6A mRNA clearance modulates neural development in mice. Genome biology. 19(1). 69–69. 257 indexed citations
17.
Shi, Hailing & Chuan He. (2018). Phasing Gene Expression: mRNA N6-Methyladenosine Regulates Temporal Progression of Mammalian Cortical Neurogenesis. Biochemistry. 57(7). 1055–1056. 2 indexed citations
18.
Wei, Jiangbo, Fange Liu, Zhike Lu, et al.. (2018). Differential m6A, m6Am, and m1A Demethylation Mediated by FTO in the Cell Nucleus and Cytoplasm. Molecular Cell. 71(6). 973–985.e5. 606 indexed citations breakdown →
19.
Shi, Hailing, Xiao Wang, Zhike Lu, et al.. (2017). YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA. Cell Research. 27(3). 315–328. 1392 indexed citations breakdown →
20.
Edupuganti, Raghu Ram, Simon Geiger, Rik G.H. Lindeboom, et al.. (2017). N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis. Nature Structural & Molecular Biology. 24(10). 870–878. 427 indexed citations breakdown →

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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