Jingsi Jin

6 papers and 359 indexed citations i.

About

Jingsi Jin is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Jingsi Jin has authored 6 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Jingsi Jin’s work include Viral Infections and Vectors (2 papers), interferon and immune responses (2 papers) and Heat shock proteins research (1 paper). Jingsi Jin is often cited by papers focused on Viral Infections and Vectors (2 papers), interferon and immune responses (2 papers) and Heat shock proteins research (1 paper). Jingsi Jin collaborates with scholars based in China. Jingsi Jin's co-authors include Lingling Wu, Lu Lu, Wenwen Li, Xinran Wang, Dongqing Cao, Yuanqin Yang, Liufu Deng, Xiaochuan Hong, Bing Su and Chao Yang and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Science Advances.

In The Last Decade

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

Fields of papers citing papers by Jingsi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jingsi Jin

Since Specialization
Citations

This map shows the geographic impact of Jingsi 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 Jingsi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingsi 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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2025