Yan Cui
- Cancer Research top 2%
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 13
- Aging top 5%
- Molecular Biology top 5%
- Gene expression and cancer classification 20
- Bioinformatics and Genomic Networks 19
- RNA Research and Splicing 11
- Machine Learning in Bioinformatics 8
- RNA modifications and cancer 7
- Health Informatics top 5%
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals 9
- Co-authors
- Anindya BhattacharyaJesse D. ZiebarthLi BaoMi ZhouWing Hung WongRobert W. WilliamsFengqin WangXiaogang Guo
- Partner nations
- United StatesChinaIndia
In The Last Decade
Yan Cui
121 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 167
- Cancer Research 826
- Aging 73
- Molecular Biology 2.3k
- Health Informatics 33
- Genetics 535
Countries citing papers authored by Yan Cui
This map shows the geographic impact of Yan Cui'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 Yan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Cui more than expected).
Fields of papers citing papers by Yan Cui
This network shows the impact of papers produced by Yan Cui. 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 Yan Cui. The network helps show where Yan Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Cui, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 18 | |
| 11 | 2021 | 6 | |
| 12 | 2018 | 82 | |
| 13 | Effect of rotary cell culture system-simulated microgravity environment on the expression of lncRNA in mouse fibroblasts | 2017 | 1 |
| 14 | 2016 | 12 | |
| 15 | 2015 | 7 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 45 | |
| 18 | 2007 | 93 | |
| 19 | 2005 | 57 | |
| 20 | 2005 | 96 |
About Yan Cui
Yan Cui is a scholar working on Cancer Research, Molecular Biology, Aging, Health Informatics and Virology, having authored 133 papers that have together received 3.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (19 papers), MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Machine Learning in Bioinformatics (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (826 citations), Aging (73 citations), Molecular Biology (2.3k citations), Health Informatics (33 citations) and Genetics (535 citations). Yan Cui has collaborated with scholars based in United States, China and India. Frequent co-authors include Anindya Bhattacharya, Jesse D. Ziebarth, Li Bao, Mi Zhou, Wing Hung Wong, Robert W. Williams, Fengqin Wang, Xiaogang Guo, Yonglong Chen and Zhaoying Shi. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Scientific Reports, Neurocomputing and Human Molecular Genetics.
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.