Yixue Li
Impact in
- Molecular Biology top 0.5%
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
Papers in
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- Bioinformatics and Genomic Networks 88
- Machine Learning in Bioinformatics 66
- Genomics and Phylogenetic Studies 60
- RNA and protein synthesis mechanisms 50
- Gene expression and cancer classification 40
- RNA modifications and cancer 36
- RNA Research and Splicing 34
-
- Cancer-related molecular mechanisms research 30
Yixue Li
425 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Molecular Biology 8.7k
- Cancer Research 1.7k
- Business and International Management 132
- Aging 102
- Computational Theory and Mathematics 904
Countries citing papers authored by Yixue Li
This map shows the geographic impact of Yixue Li'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 Yixue Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yixue Li more than expected).
Fields of papers citing papers by Yixue Li
This network shows the impact of papers produced by Yixue Li. 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 Yixue Li. The network helps show where Yixue Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yixue Li, 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 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 56 | |
| 11 | 2021 | 94 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 28 | |
| 14 | 2018 | 4 | |
| 15 | 2015 | 7 | |
| 16 | 2014 | 16 | |
| 17 | 2012 | 5 | |
| 18 | Molecular Modeling Studies on NADP-Dependence of Candida Tropicalis Strain Xylose Reductase | 2008 | 7 |
| 19 | 2007 | 176 | |
| 20 | 2007 | 2 |
About Yixue Li
Yixue Li is a scholar working on Molecular Biology, Cancer Research, Aging, Computational Theory and Mathematics and Spectroscopy, having authored 443 papers that have together received 11.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (88 papers), Machine Learning in Bioinformatics (66 papers), Genomics and Phylogenetic Studies (60 papers), RNA and protein synthesis mechanisms (50 papers), Gene expression and cancer classification (40 papers), RNA modifications and cancer (36 papers), RNA Research and Splicing (34 papers) and Cancer-related molecular mechanisms research (30 papers). The work is most often cited by research in Molecular Biology (8.7k citations), Cancer Research (1.7k citations), Business and International Management (132 citations), Aging (102 citations) and Computational Theory and Mathematics (904 citations). Yixue Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu‐Dong Cai, Lu Xie, Yidi Sun, Tao Huang, Jian Zhang, Kang Tu, Erwei Zuo, Kaixian Chen, Xiaomin Luo and Hualiang Jiang. Their work appears in journals such as PLoS ONE, BMC Genomics, BMC Bioinformatics, Scientific Reports and Bioinformatics.
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.