Lichong Yan
Impact in
- Cancer Research top 10%
- 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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- PI3K/AKT/mTOR signaling in cancer 2
- ATP Synthase and ATPases Research 1
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- MicroRNA in disease regulation 1
- Co-authors
- Y. Grace Chen (2 shared papers)Huabing Li (1 shared paper)Hao Xu (1 shared paper)Jiajia Hu (1 shared paper)Jing Zhou (1 shared paper)Xingli Zhang (1 shared paper)Zhibin Yu (1 shared paper)Zhengting Wang (1 shared paper)
- Journals
- Nature Communications (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Biochemistry (1 paper)Science Advances (1 paper)Trends in Biochemical Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Lichong Yan
8 papers receiving 399 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 218
- Molecular Biology 345
- Cell Biology 26
- Immunology 33
- Endocrinology, Diabetes and Metabolism 24
Countries citing papers authored by Lichong Yan
This map shows the geographic impact of Lichong Yan'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 Lichong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichong Yan more than expected).
Fields of papers citing papers by Lichong Yan
This network shows the impact of papers produced by Lichong Yan. 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 Lichong Yan. The network helps show where Lichong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichong Yan, 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 | 135 | |
| 2 | 2018 | 111 | |
| 3 | 2020 | 79 | |
| 4 | 2014 | 35 | |
| 5 | 2018 | 18 | |
| 6 | 2008 | 12 | |
| 7 | 2007 | 8 | |
| 8 | 2024 | 3 | |
| 9 | 2025 | 0 |
About Lichong Yan
Lichong Yan is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Cellular and Molecular Neuroscience and Internal Medicine, having authored 9 papers that have together received 401 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), Peptidase Inhibition and Analysis (1 paper), MicroRNA in disease regulation (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Trace Elements in Health (1 paper), Neurological diseases and metabolism (1 paper), ATP Synthase and ATPases Research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (345 citations), Cell Biology (26 citations), Immunology (33 citations) and Endocrinology, Diabetes and Metabolism (24 citations). Lichong Yan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Y. Grace Chen, Huabing Li, Hao Xu, Jiajia Hu, Jing Zhou, Xingli Zhang, Zhibin Yu, Zhengting Wang, Huifang Chen and Chenbo Ding. Their work appears in journals such as Nature Communications, Arteriosclerosis Thrombosis and Vascular Biology, Biochemistry, Science Advances and Trends in Biochemical Sciences.
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.