Xiaoling Ying
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
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- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 14
- Protein purification and stability 1
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- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Weidong Ji (15 shared papers)Haiqing Zhang (11 shared papers)Defeng Qi (5 shared papers)Shuibin Lin (3 shared papers)Yinghui Chao (3 shared papers)Huan Jin (2 shared papers)Bixia Liu (8 shared papers)Yapeng Huang (10 shared papers)
- Journals
- Cell Biology and Toxicology (2 papers)Journal of Advanced Research (2 papers)BMC Cancer (1 paper)Nature Communications (1 paper)Non-coding RNA Research (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Xiaoling Ying
24 papers receiving 770 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 590
- Cancer Research 74
- Immunology and Allergy 7
- Immunology 26
- Pulmonary and Respiratory Medicine 38
Countries citing papers authored by Xiaoling Ying
This map shows the geographic impact of Xiaoling Ying'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 Xiaoling Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Ying more than expected).
Fields of papers citing papers by Xiaoling Ying
This network shows the impact of papers produced by Xiaoling Ying. 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 Xiaoling Ying. The network helps show where Xiaoling Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Ying, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 169 | |
| 2 | 2019 | 159 | |
| 3 | 2021 | 152 | |
| 4 | 2020 | 38 | |
| 5 | 2021 | 31 | |
| 6 | 2023 | 27 | |
| 7 | 2019 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2024 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2024 | 16 | |
| 13 | 2021 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2020 | 8 | |
| 17 | 2014 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 4 |
About Xiaoling Ying
Xiaoling Ying is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Genetics, having authored 25 papers that have together received 773 indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Viral Infections and Immunology Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Heavy Metal Exposure and Toxicity (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Molecular Biology (590 citations), Cancer Research (74 citations), Immunology and Allergy (7 citations), Immunology (26 citations) and Pulmonary and Respiratory Medicine (38 citations). Xiaoling Ying has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Weidong Ji, Haiqing Zhang, Defeng Qi, Shuibin Lin, Yinghui Chao, Huan Jin, Bixia Liu, Yapeng Huang, Min Wang and Biao Que. Their work appears in journals such as Cell Biology and Toxicology, Journal of Advanced Research, BMC Cancer, Nature Communications and Non-coding RNA Research.
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.