Kun Lv

64 papers and 1.5k indexed citations i.

About

Kun Lv is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Kun Lv has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 26 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Kun Lv’s work include Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (17 papers) and MicroRNA in disease regulation (11 papers). Kun Lv is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (17 papers) and MicroRNA in disease regulation (11 papers). Kun Lv collaborates with scholars based in China, Ireland and Japan. Kun Lv's co-authors include Mengying Zhang, Xueqin Li, Hui Yang, Min Zhong, Qifeng Suo, Yingying Zhang, Yingying Zhang, Xiaolong Zhu, Min Zhong and Mingzhe Ma and has published in prestigious journals such as ACS Nano, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Kun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun 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 Kun Lv. The network helps show where Kun Lv may publish in the future.

Countries citing papers authored by Kun Lv

Since Specialization
Citations

This map shows the geographic impact of Kun 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 Kun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun 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