Jun Jin

49 papers and 1.4k indexed citations i.

About

Jun Jin is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Jun Jin has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Jun Jin’s work include Silk-based biomaterials and applications (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Jun Jin is often cited by papers focused on Silk-based biomaterials and applications (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Jun Jin collaborates with scholars based in China, United States and Hong Kong. Jun Jin's co-authors include Zongning Miao, Wei Huang, Lei Chen, Jidong Zhao, Xueguang Zhang, Jianzhong Zhu, Jianhong Fu, Wei Wang, Yao Lin and Depei Wu and has published in prestigious journals such as Hepatology, Biochemical and Biophysical Research Communications and Journal of Materials Chemistry.

In The Last Decade

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

Fields of papers citing papers by Jun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Jin

Since Specialization
Citations

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