Xiaoting Shu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Cancer-related gene regulation
- Advanced biosensing and bioanalysis techniques
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
Papers in ⓘ
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- Traffic Prediction and Management Techniques 2
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- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Chengqi Yi (4 shared papers)Xushen Xiong (3 shared papers)Shiqing Ma (1 shared paper)Kun Wang (1 shared paper)Xiaoyu Li (1 shared paper)Lixia Wang (1 shared paper)Jinghui Song (2 shared papers)Chuan He (2 shared papers)
- Journals
- Nature Chemical Biology (2 papers)Angewandte Chemie International Edition (1 paper)Molecular Pharmaceutics (1 paper)IEEE Transactions on Computational Social Systems (1 paper)Angewandte Chemie (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoting Shu
6 papers receiving 750 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 315
- Molecular Biology 683
- Oncology 66
- Biomaterials 29
- Biotechnology 12
Countries citing papers authored by Xiaoting Shu
This map shows the geographic impact of Xiaoting Shu'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 Xiaoting Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Shu more than expected).
Fields of papers citing papers by Xiaoting Shu
This network shows the impact of papers produced by Xiaoting Shu. 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 Xiaoting Shu. The network helps show where Xiaoting Shu may publish in the future.
Co-authors
The 20 scholars most cited alongside Xiaoting Shu, 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 | Transcriptome-wide mapping reveals reversible and dynamic N1-methyladenosine methylome Hit paper breakdown → | 2016 | 525 |
| 2 | 2012 | 92 | |
| 3 | 2016 | 75 | |
| 4 | 2018 | 46 | |
| 5 | 2016 | 18 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 |
About Xiaoting Shu
Xiaoting Shu is a scholar working on Building and Construction, Cancer Research, Automotive Engineering, Molecular Biology and Information Systems, having authored 7 papers that have together received 762 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), Traffic Prediction and Management Techniques (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Nanoplatforms for cancer theranostics (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Cancer Research (315 citations), Molecular Biology (683 citations), Oncology (66 citations), Biomaterials (29 citations) and Biotechnology (12 citations). Xiaoting Shu has collaborated with scholars based in China and United States. Frequent co-authors include Chengqi Yi, Xushen Xiong, Shiqing Ma, Kun Wang, Xiaoyu Li, Lixia Wang, Jinghui Song, Chuan He, Menghua Xiong and Xi‐Qiu Liu. Their work appears in journals such as Nature Chemical Biology, Angewandte Chemie International Edition, Molecular Pharmaceutics, IEEE Transactions on Computational Social Systems and Angewandte Chemie.
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.