Yingli Lv

32 papers and 537 indexed citations i.

About

Yingli Lv is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Yingli Lv has authored 32 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Yingli Lv’s work include Bioinformatics and Genomic Networks (8 papers), Cancer-related molecular mechanisms research (8 papers) and MicroRNA in disease regulation (7 papers). Yingli Lv is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Cancer-related molecular mechanisms research (8 papers) and MicroRNA in disease regulation (7 papers). Yingli Lv collaborates with scholars based in China, United States and Japan. Yingli Lv's co-authors include Shiyuan Wang, Wei Jiang, Yongchun Zuo, Lei Yang, Xia Li, Xiaowen Chen, Shuyuan Wang, Lei Yang, Dapeng Hao and Xiaowen Chen and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Yingli Lv i

Fields of papers citing papers by Yingli Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Yingli Lv

Since Specialization
Citations

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).

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.

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2025