Linlin Sai
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Environmental Toxicology and Ecotoxicology
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 5
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Qiang Jia (23 shared papers)Cheng Peng (20 shared papers)Cunxiang Bo (19 shared papers)Gongchang Yu (16 shared papers)Hua Shao (13 shared papers)J. C. Ng (6 shared papers)Zhongjun Du (3 shared papers)Xiangxin Li (4 shared papers)
In The Last Decade
Linlin Sai
25 papers receiving 268 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 59
- Health, Toxicology and Mutagenesis 51
- Pollution 37
- Pulmonary and Respiratory Medicine 52
- Molecular Biology 104
Countries citing papers authored by Linlin Sai
This map shows the geographic impact of Linlin Sai'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 Linlin Sai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Sai more than expected).
Fields of papers citing papers by Linlin Sai
This network shows the impact of papers produced by Linlin Sai. 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 Linlin Sai. The network helps show where Linlin Sai may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin Sai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 32 | |
| 2 | 2019 | 30 | |
| 3 | 2016 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2015 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2021 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2023 | 3 |
About Linlin Sai
Linlin Sai is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Pollution, having authored 26 papers that have together received 268 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (6 papers), Cancer-related molecular mechanisms research (5 papers), Environmental Toxicology and Ecotoxicology (4 papers), Circular RNAs in diseases (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Pesticide and Herbicide Environmental Studies (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (59 citations), Health, Toxicology and Mutagenesis (51 citations), Pollution (37 citations), Pulmonary and Respiratory Medicine (52 citations) and Molecular Biology (104 citations). Linlin Sai has collaborated with scholars based in China and Australia. Frequent co-authors include Qiang Jia, Cheng Peng, Cunxiang Bo, Gongchang Yu, Hua Shao, J. C. Ng, Zhongjun Du, Xiangxin Li, Yu Zhang and Zhenling Zhang. Their work appears in journals such as Chemosphere, Bulletin of Environmental Contamination and Toxicology, Genes and Environment, Toxicology Letters and Toxicology in Vitro.
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.