Jun Lin

48 papers and 950 indexed citations i.

About

Jun Lin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jun Lin has authored 48 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Jun Lin’s work include PI3K/AKT/mTOR signaling in cancer (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Jun Lin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Jun Lin collaborates with scholars based in China, United States and Australia. Jun Lin's co-authors include Dandan Li, Haitao Wang, Xiaochun Bai, Wenhua Zheng, Peter J. Little, Zhang Qishan, Qiang Wen, Hao Jiang, Chunhong Jia and Zhiwen Zeng and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Jun Lin i

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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