Jin Dai

29 papers and 799 indexed citations i.

About

Jin Dai is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jin Dai has authored 29 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jin Dai’s work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (5 papers) and Advancements in Battery Materials (3 papers). Jin Dai is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (5 papers) and Advancements in Battery Materials (3 papers). Jin Dai collaborates with scholars based in China, Sweden and France. Jin Dai's co-authors include Joseph Polchinski, Robert G. Leigh, Antti J. Niemi, Wei Lai, Xubiao Peng, Xiaoyong Yang, Yong‐Fei Zheng, Nevena Ilieva, Vanessa K. Peterson and Qian Chen and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Physics Letters B.

In The Last Decade

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

Fields of papers citing papers by Jin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Dai

Since Specialization
Citations

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