Hailing Shi
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research 10
- Molecular Biology top 0.2%
- RNA modifications and cancer 25
- RNA Research and Splicing 20
- Cancer-related gene regulation 9
- Single-cell and spatial transcriptomics 5
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 2
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- HVDC Systems and Fault Protection 2
- Oncology top 5%
- Co-authors
- Chuan HeZhike LuXiao WangBoxuan ZhaoJiangbo WeiHonghui MaPhillip J. HsuKai Chen
- Partner nations
- United StatesChinaNorway
In The Last Decade
Hailing Shi
35 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 5.1k
- Molecular Biology 10.5k
- Energy Engineering and Power Technology 138
- Electrical and Electronic Engineering 1.7k
- Oncology 686
Countries citing papers authored by Hailing Shi
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
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
The 25 scholars most cited alongside Hailing Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 18 | |
| 4 | 2023 | 85 | |
| 5 | Spatially resolved single-cell translatomics at molecular resolutionbreakdown → | 2023 | 103 |
| 6 | 2023 | 55 | |
| 7 | 2023 | 24 | |
| 8 | 2022 | 31 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 136 | |
| 11 | YTHDF3 Induces the Translation of m6A-Enriched Gene Transcripts to Promote Breast Cancer Brain Metastasisbreakdown → | 2020 | 298 |
| 12 | m6A mRNA methylation controls autophagy and adipogenesis by targeting Atg5 and Atg7breakdown → | 2019 | 297 |
| 13 | 2018 | 2 | |
| 14 | Differential m6A, m6Am, and m1A Demethylation Mediated by FTO in the Cell Nucleus and Cytoplasmbreakdown → | 2018 | 606 |
| 15 | 2018 | 109 | |
| 16 | 2018 | 20 | |
| 17 | N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasisbreakdown → | 2017 | 427 |
| 18 | YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNAbreakdown → | 2017 | 1392 |
| 19 | m6A-dependent maternal mRNA clearance facilitates zebrafish maternal-to-zygotic transitionbreakdown → | 2017 | 430 |
| 20 | 2016 | 21 |
About Hailing Shi
Hailing Shi is a scholar working on Cancer Research, Molecular Biology and Energy Engineering and Power Technology, having authored 36 papers that have together received 10.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (25 papers), RNA Research and Splicing (20 papers), Cancer-related molecular mechanisms research (10 papers), Cancer-related gene regulation (9 papers), Single-cell and spatial transcriptomics (5 papers), RNA and protein synthesis mechanisms (4 papers), HVDC Systems and Fault Protection (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (5.1k citations), Molecular Biology (10.5k citations) and Energy Engineering and Power Technology (138 citations). Hailing Shi has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Chuan He, Zhike Lu, Xiao Wang, Boxuan Zhao, Jiangbo Wei, Honghui Ma, Phillip J. Hsu, Kai Chen, Dali Han and Ian A. Roundtree. Their work appears in journals such as Molecular Cell, Cell Research, Nature Communications, Nature and Cell.
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.