Ling Lin
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Atherosclerosis and Cardiovascular Diseases
- Immune Response and Inflammation
Papers in
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- Circular RNAs in diseases 2
- Cell death mechanisms and regulation 2
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- Atherosclerosis and Cardiovascular Diseases 4
- Immune Response and Inflammation 3
- Co-authors
- Hongjie Zhao (1 shared paper)Guangshun Wang (1 shared paper)Zhengang Chen (1 shared paper)Ziyang Huang (4 shared papers)Xiaohong Chen (5 shared papers)Weiping Zheng (2 shared papers)Ye Lin (1 shared paper)Zhang Yang-de (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (1 paper)Clinical Cancer Research (1 paper)Cell Death and Disease (1 paper)Biomedicines (1 paper)Disease Markers (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ling Lin
15 papers receiving 322 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 98
- Immunology 89
- Complementary and alternative medicine 31
- Molecular Biology 202
- Rheumatology 34
Countries citing papers authored by Ling Lin
This map shows the geographic impact of Ling Lin'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 Ling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Lin more than expected).
Fields of papers citing papers by Ling Lin
This network shows the impact of papers produced by Ling Lin. 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 Ling Lin. The network helps show where Ling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Lin, 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 | 2020 | 66 | |
| 2 | 2007 | 43 | |
| 3 | 2015 | 36 | |
| 4 | 2020 | 34 | |
| 5 | 2017 | 28 | |
| 6 | 2016 | 24 | |
| 7 | 2013 | 22 | |
| 8 | 2012 | 16 | |
| 9 | 2011 | 13 | |
| 10 | 2014 | 13 | |
| 11 | Development of pristane induced mice model for lupus with atherosclerosis and analysis of TLR expression. | 2016 | 9 |
| 12 | Association of Interleukin-23 Receptor Gene Single Nucleotide Polymorphisms with Ankylosing Spondylitis. | 2016 | 8 |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | [Elevated level of serum PCSK9 in patients with systemic lupus erythematosus]. | 2018 | 2 |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ling Lin
Ling Lin is a scholar working on Molecular Biology, Immunology, Rheumatology, Surgery and Cancer Research, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), MicroRNA in disease regulation (3 papers), Immune Response and Inflammation (3 papers), Circular RNAs in diseases (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cell death mechanisms and regulation (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cancer Research (98 citations), Immunology (89 citations), Complementary and alternative medicine (31 citations), Molecular Biology (202 citations) and Rheumatology (34 citations). Ling Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongjie Zhao, Guangshun Wang, Zhengang Chen, Ziyang Huang, Xiaohong Chen, Weiping Zheng, Ye Lin, Zhang Yang-de, Shanmin Yang and Caiping Ren. Their work appears in journals such as Journal of Cellular Biochemistry, Clinical Cancer Research, Cell Death and Disease, Biomedicines and Disease Markers.
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.