Li Jin

79 papers and 1.7k indexed citations i.

About

Li Jin is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Li Jin has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Epidemiology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Li Jin’s work include Spine and Intervertebral Disc Pathology (16 papers), Hepatitis B Virus Studies (14 papers) and Musculoskeletal pain and rehabilitation (12 papers). Li Jin is often cited by papers focused on Spine and Intervertebral Disc Pathology (16 papers), Hepatitis B Virus Studies (14 papers) and Musculoskeletal pain and rehabilitation (12 papers). Li Jin collaborates with scholars based in United States, China and United Kingdom. Li Jin's co-authors include Xudong Li, Avril V. Somlyo, Francis H. Shen, Marie‐Louise Hammarskjöld, David Rekosh, Yeou-Cherng Bor, Gary Balian, Brian W. Guzik, Tianyan Chen and Li Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

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

Fields of papers citing papers by Li Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Li Jin

Since Specialization
Citations

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

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