Jun Dai

23 papers and 1.0k indexed citations i.

About

Jun Dai is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Jun Dai has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Rheumatology. Recurrent topics in Jun Dai’s work include Osteoarthritis Treatment and Mechanisms (7 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer-related molecular mechanisms research (4 papers). Jun Dai is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer-related molecular mechanisms research (4 papers). Jun Dai collaborates with scholars based in China, Finland and United States. Jun Dai's co-authors include Hongwei Ouyang, Boon Chin Heng, Dongsheng Yu, Xiaohui Zou, Hua Liu, Shouan Zhu, Fang Zhou, Zhiming Liu, Jing Zhou and Bingbing Wu and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Dai

Since Specialization
Citations

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

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2025