Lin Liang
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
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- Inflammatory Myopathies and Dermatomyositis
Papers in
- Epidemiology 11
- Inflammatory Myopathies and Dermatomyositis 8
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- RNA modifications and cancer 3
- Circular RNAs in diseases 2
- Co-authors
- Shaowei Wang (1 shared paper)Linlin Ma (1 shared paper)Dan Zhou (1 shared paper)Yanhong Zhou (7 shared papers)Qinglin Peng (6 shared papers)Wentao Li (2 shared papers)Qianjin Liao (1 shared paper)Yanling Li (1 shared paper)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)International Journal of Oncology (2 papers)Clinical & Experimental Immunology (1 paper)Biological Trace Element Research (1 paper)Lara D. Veeken (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lin Liang
33 papers receiving 587 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 121
- Epidemiology 184
- Physiology 25
- Rheumatology 61
- Immunology 78
Countries citing papers authored by Lin Liang
This map shows the geographic impact of Lin Liang'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 Lin Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Liang more than expected).
Fields of papers citing papers by Lin Liang
This network shows the impact of papers produced by Lin Liang. 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 Lin Liang. The network helps show where Lin Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Liang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2022 | 73 | |
| 3 | 2022 | 52 | |
| 4 | 2008 | 43 | |
| 5 | 2020 | 38 | |
| 6 | 2019 | 34 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2022 | 14 | |
| 15 | 2017 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2018 | 8 |
About Lin Liang
Lin Liang is a scholar working on Epidemiology, Molecular Biology, Immunology, Physiology and Cancer Research, having authored 37 papers that have together received 594 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (8 papers), Calcium signaling and nucleotide metabolism (4 papers), Adenosine and Purinergic Signaling (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), T-cell and B-cell Immunology (2 papers), Circular RNAs in diseases (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Cancer Research (121 citations), Epidemiology (184 citations), Physiology (25 citations), Rheumatology (61 citations) and Immunology (78 citations). Lin Liang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shaowei Wang, Linlin Ma, Dan Zhou, Yanhong Zhou, Qinglin Peng, Wentao Li, Qianjin Liao, Yanling Li, Yamei Zhang and Xin Lü. Their work appears in journals such as Frontiers in Cell and Developmental Biology, International Journal of Oncology, Clinical & Experimental Immunology, Biological Trace Element Research and Lara D. Veeken.
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.