Yingli Lv
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Circular RNAs in diseases
Papers in
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- Bioinformatics and Genomic Networks 10
- Machine Learning in Bioinformatics 7
- RNA Research and Splicing 5
- Circular RNAs in diseases 4
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 8
- Co-authors
- Wei Jiang (15 shared papers)Shiyuan Wang (13 shared papers)Lei Yang (15 shared papers)Yongchun Zuo (16 shared papers)Xiaowen Chen (7 shared papers)Xia Li (5 shared papers)Shuyuan Wang (4 shared papers)Lei Yang (3 shared papers)
- Journals
- Scientific Reports (4 papers)Genomics (4 papers)Gene (3 papers)Journal of Theoretical Biology (2 papers)Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Yingli Lv
32 papers receiving 568 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 228
- Molecular Biology 414
- Computational Theory and Mathematics 50
- Reproductive Medicine 17
- Immunology 38
Countries citing papers authored by Yingli Lv
This map shows the geographic impact of Yingli Lv'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 Yingli Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingli Lv more than expected).
Fields of papers citing papers by Yingli Lv
This network shows the impact of papers produced by Yingli Lv. 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 Yingli Lv. The network helps show where Yingli Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingli Lv, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 70 | |
| 2 | 2015 | 66 | |
| 3 | 2011 | 54 | |
| 4 | 2018 | 48 | |
| 5 | 2021 | 41 | |
| 6 | 2017 | 34 | |
| 7 | 2013 | 33 | |
| 8 | 2019 | 32 | |
| 9 | 2006 | 32 | |
| 10 | 2011 | 27 | |
| 11 | 2020 | 24 | |
| 12 | 2014 | 18 | |
| 13 | 2014 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2016 | 11 | |
| 16 | 2014 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2018 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2014 | 5 |
About Yingli Lv
Yingli Lv is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Oncology, having authored 39 papers that have together received 581 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), Machine Learning in Bioinformatics (7 papers), Computational Drug Discovery Methods (7 papers), RNA Research and Splicing (5 papers), Ferroptosis and cancer prognosis (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (228 citations), Molecular Biology (414 citations), Computational Theory and Mathematics (50 citations), Reproductive Medicine (17 citations) and Immunology (38 citations). Yingli Lv has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Wei Jiang, Shiyuan Wang, Lei Yang, Yongchun Zuo, Xiaowen Chen, Xia Li, Shuyuan Wang, Lei Yang, Dapeng Hao and Xiaowen Chen. Their work appears in journals such as Scientific Reports, Genomics, Gene, Journal of Theoretical Biology 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.