Rui Ling
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
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- Cancer-related gene regulation 4
- Metabolomics and Mass Spectrometry Studies 3
- Metabolism, Diabetes, and Cancer 2
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- Breast Cancer Treatment Studies 9
- Cancer, Hypoxia, and Metabolism 7
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Jianghao Chen (8 shared papers)Jun Yun (7 shared papers)Juliang Zhang (6 shared papers)Hui Wang (4 shared papers)Ying Wu (7 shared papers)Zhe Wang (5 shared papers)Shifang Yuan (7 shared papers)Lina Zhao (1 shared paper)
In The Last Decade
Rui Ling
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 347
- Molecular Biology 589
- Oncology 171
- Immunology 85
- Developmental Neuroscience 16
Countries citing papers authored by Rui Ling
This map shows the geographic impact of Rui 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 Rui Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Ling more than expected).
Fields of papers citing papers by Rui Ling
This network shows the impact of papers produced by Rui 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 Rui Ling. The network helps show where Rui Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui 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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 105 | |
| 2 | 2006 | 87 | |
| 3 | 2018 | 61 | |
| 4 | 2014 | 61 | |
| 5 | 2019 | 57 | |
| 6 | 2022 | 55 | |
| 7 | 2015 | 54 | |
| 8 | 2023 | 54 | |
| 9 | 2004 | 53 | |
| 10 | 2017 | 44 | |
| 11 | 2014 | 42 | |
| 12 | 2017 | 39 | |
| 13 | 2013 | 37 | |
| 14 | 2021 | 32 | |
| 15 | 2013 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2024 | 20 | |
| 18 | Prognostic value of p53 alterations in human osteosarcoma: a meta analysis. | 2014 | 19 |
| 19 | 2013 | 17 | |
| 20 | 2017 | 17 |
About Rui Ling
Rui Ling is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related gene regulation (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Immune Response and Inflammation (3 papers), Cancer, Lipids, and Metabolism (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (347 citations), Molecular Biology (589 citations), Oncology (171 citations), Immunology (85 citations) and Developmental Neuroscience (16 citations). Rui Ling has collaborated with scholars based in China, Japan and Vietnam. Frequent co-authors include Jianghao Chen, Jun Yun, Juliang Zhang, Hui Wang, Ying Wu, Zhe Wang, Shifang Yuan, Lina Zhao, Ling Wang and Xiaojun Li. Their work appears in journals such as Frontiers in Oncology, Annals of Translational Medicine, Inflammation and Regeneration, Talanta and Journal of Cancer Research and Clinical Oncology.
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.