Dan Jin

41 papers and 278 indexed citations i.

About

Dan Jin is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Dan Jin has authored 41 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Dan Jin’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), Mesenchymal stem cell research (4 papers) and Medical Imaging Techniques and Applications (4 papers). Dan Jin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Mesenchymal stem cell research (4 papers) and Medical Imaging Techniques and Applications (4 papers). Dan Jin collaborates with scholars based in China, United States and Hong Kong. Dan Jin's co-authors include Gang Mei, Jian Zhou, Yongtao Zhang, Kong-Han Pan, Hui Li, Jian Zhang, Fang Qiao, Jianchang Chen, Su Fu and Guoxian Pei and has published in prestigious journals such as Scientific Reports, Reviews of Geophysics and Plastic & Reconstructive Surgery.

In The Last Decade

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

Fields of papers citing papers by Dan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Jin

Since Specialization
Citations

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