Min Lv

54 papers and 797 indexed citations i.

About

Min Lv is a scholar working on Epidemiology, Infectious Diseases and Health. According to data from OpenAlex, Min Lv has authored 54 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 14 papers in Infectious Diseases and 10 papers in Health. Recurrent topics in Min Lv’s work include Influenza Virus Research Studies (19 papers), Vaccine Coverage and Hesitancy (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Min Lv is often cited by papers focused on Influenza Virus Research Studies (19 papers), Vaccine Coverage and Hesitancy (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Min Lv collaborates with scholars based in China, United States and Australia. Min Lv's co-authors include Jiang Wu, Shuang Bai, Pei Gao, Weixin Chen, Jianzhong Zhang, Qianli Yuan, Fei Zhao, Xiaoxia Tao, Yufeng Xiao and Zheng Xie and has published in prestigious journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

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

Fields of papers citing papers by Min Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Lv

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025