Ming Ji

70 papers and 1.2k indexed citations i.

About

Ming Ji is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ming Ji has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Oncology and 15 papers in Immunology. Recurrent topics in Ming Ji’s work include PI3K/AKT/mTOR signaling in cancer (10 papers), PARP inhibition in cancer therapy (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Ming Ji is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (10 papers), PARP inhibition in cancer therapy (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Ming Ji collaborates with scholars based in China, United States and Macao. Ming Ji's co-authors include Xiaoguang Chen, Nina Xue, Fangfang Lai, Jing Jin, 敬 島津, Bailing Xu, Jie Zhou, Heng Xu, Songwen Lin and Ran Cao and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

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

Fields of papers citing papers by Ming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Ji

Since Specialization
Citations

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