Xiaoyu Wei
Impact in
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- Cancer-related molecular mechanisms research
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
Papers in
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- Single-cell and spatial transcriptomics 7
- RNA modifications and cancer 5
- Genomics and Chromatin Dynamics 4
- Biopolymer Synthesis and Applications 4
- RNA Research and Splicing 3
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Liang Wu (5 shared papers)Zhouchun Shang (4 shared papers)Longqi Liu (8 shared papers)Chuanyu Liu (9 shared papers)Yue Yuan (10 shared papers)Mingyue Wang (2 shared papers)Ning He (6 shared papers)Yihong Chen (1 shared paper)
- Journals
- Scientific Data (4 papers)Nature Communications (2 papers)Phytotherapy Research (1 paper)Foods (1 paper)Molecules (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Xiaoyu Wei
33 papers receiving 402 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 72
- Molecular Biology 272
- Catalysis 18
- Aging 3
- Plant Science 56
Countries citing papers authored by Xiaoyu Wei
This map shows the geographic impact of Xiaoyu Wei'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 Xiaoyu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Wei more than expected).
Fields of papers citing papers by Xiaoyu Wei
This network shows the impact of papers produced by Xiaoyu Wei. 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 Xiaoyu Wei. The network helps show where Xiaoyu Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyu Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2019 | 67 | |
| 3 | 2018 | 56 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Xiaoyu Wei
Xiaoyu Wei is a scholar working on Molecular Biology, Cancer Research, Ecology, Genetics and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), RNA modifications and cancer (5 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related molecular mechanisms research (4 papers), Biopolymer Synthesis and Applications (4 papers), RNA Research and Splicing (3 papers), Cancer-related gene regulation (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (72 citations), Molecular Biology (272 citations), Catalysis (18 citations), Aging (3 citations) and Plant Science (56 citations). Xiaoyu Wei has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Liang Wu, Zhouchun Shang, Longqi Liu, Chuanyu Liu, Yue Yuan, Mingyue Wang, Ning He, Yihong Chen, Yang Zhou and Jun Zhang. Their work appears in journals such as Scientific Data, Nature Communications, Phytotherapy Research, Foods and Molecules.
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.