Di Jin

40 papers and 635 indexed citations i.

About

Di Jin is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Di Jin has authored 40 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 12 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Di Jin’s work include Bladder and Urothelial Cancer Treatments (17 papers), Urinary and Genital Oncology Studies (9 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Di Jin is often cited by papers focused on Bladder and Urothelial Cancer Treatments (17 papers), Urinary and Genital Oncology Studies (9 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Di Jin collaborates with scholars based in China, Italy and United States. Di Jin's co-authors include Haige Chen, Guangjun Chang, Tianle Xu, Xiangzhen Shen, Ruiyun Zhang, Ming Cao, Kai Zhang, Yuyang Zhao, Xingyu Mu and Zhihua Zhou and has published in prestigious journals such as Journal of Clinical Oncology, Advanced Functional Materials and Journal of Virology.

In The Last Decade

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

Fields of papers citing papers by Di Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Jin

Since Specialization
Citations

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