Kun Ji

34 papers and 717 indexed citations i.

About

Kun Ji is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Kun Ji has authored 34 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Oncology. Recurrent topics in Kun Ji’s work include Virus-based gene therapy research (7 papers), Cancer Research and Treatments (7 papers) and Mesenchymal stem cell research (6 papers). Kun Ji is often cited by papers focused on Virus-based gene therapy research (7 papers), Cancer Research and Treatments (7 papers) and Mesenchymal stem cell research (6 papers). Kun Ji collaborates with scholars based in China, United States and Japan. Kun Ji's co-authors include Xuejian Zhao, De-Qi Xu, Kun Xuan, Dennis J. Kopecko, Jiadi Hu, Lifang Gao, Dhananjaya V. Kalvakolanu, Xi Wang, Guanghui Li and Lei Chen and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kun Ji i

Fields of papers citing papers by Kun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Ji

Since Specialization
Citations

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