Le Li

16 papers and 351 indexed citations i.

About

Le Li is a scholar working on Molecular Biology, Artificial Intelligence and Physiology. According to data from OpenAlex, Le Li has authored 16 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Physiology. Recurrent topics in Le Li’s work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers) and RNA modifications and cancer (3 papers). Le Li is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers) and RNA modifications and cancer (3 papers). Le Li collaborates with scholars based in China, Hong Kong and United States. Le Li's co-authors include Guoqiang Han, Zhiwen Yu, Jun Zhang, Jiming Liu, Hau−San Wong, Jane You, Jiming Liu, Mengyao Wang, Jun He and Dong Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Le Li i

Fields of papers citing papers by Le Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Le Li

Since Specialization
Citations

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