Xiaoling Ling
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Oncology 10
- Cancer-related Molecular Pathways 5
- HER2/EGFR in Cancer Research 3
- Co-authors
- Bingxue Yan (1 shared paper)Da Zhao (3 shared papers)Xiaoming Hou (3 shared papers)Xiangjin Li (1 shared paper)Xiaoying Xu (1 shared paper)Fei Su (4 shared papers)Xin Liu (1 shared paper)Xingxu Zhao (1 shared paper)
In The Last Decade
Xiaoling Ling
19 papers receiving 278 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 124
- Molecular Biology 178
- Oncology 62
- Endocrinology, Diabetes and Metabolism 32
- Immunology 26
Countries citing papers authored by Xiaoling Ling
This map shows the geographic impact of Xiaoling Ling'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 Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Ling more than expected).
Fields of papers citing papers by Xiaoling Ling
This network shows the impact of papers produced by Xiaoling Ling. 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 Ling. The network helps show where Xiaoling Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Ling, 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 | 2021 | 65 | |
| 2 | 2019 | 56 | |
| 3 | 2009 | 33 | |
| 4 | 2020 | 23 | |
| 5 | 2022 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2015 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2014 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 0 |
About Xiaoling Ling
Xiaoling Ling is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 20 papers that have together received 281 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Molecular Sensors and Ion Detection (3 papers), HER2/EGFR in Cancer Research (3 papers), Advanced Breast Cancer Therapies (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Cancer Research (124 citations), Molecular Biology (178 citations), Oncology (62 citations), Endocrinology, Diabetes and Metabolism (32 citations) and Immunology (26 citations). Xiaoling Ling has collaborated with scholars based in China and Canada. Frequent co-authors include Bingxue Yan, Da Zhao, Xiaoming Hou, Xiangjin Li, Xiaoying Xu, Fei Su, Xin Liu, Xingxu Zhao, Yongbin Lu and Jie Hao. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer, Molecular Biology Reports, Microchemical Journal and Breast Cancer Targets and Therapy.
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.