Ling Jin

85 papers and 1.3k indexed citations i.

About

Ling Jin is a scholar working on Molecular Biology, Plant Science and Complementary and alternative medicine. According to data from OpenAlex, Ling Jin has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 26 papers in Plant Science and 19 papers in Complementary and alternative medicine. Recurrent topics in Ling Jin’s work include Traditional Chinese Medicine Analysis (16 papers), Phytochemistry and Biological Activities (11 papers) and Plant Gene Expression Analysis (6 papers). Ling Jin is often cited by papers focused on Traditional Chinese Medicine Analysis (16 papers), Phytochemistry and Biological Activities (11 papers) and Plant Gene Expression Analysis (6 papers). Ling Jin collaborates with scholars based in China, United States and South Korea. Ling Jin's co-authors include Yingdong Li, Juan Chen, Zichao Luo, Xingyi Li, Hao Chen, Xiaohui Ma, Jing Yu, Shuai Shi, Yan‐Ping Shi and Xiang Qian and has published in prestigious journals such as PLoS ONE, Cancer Research and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Ling Jin i

Fields of papers citing papers by Ling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Jin

Since Specialization
Citations

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