Jun Tu

32 papers and 813 indexed citations i.

About

Jun Tu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jun Tu has authored 32 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Surgery. Recurrent topics in Jun Tu’s work include Ubiquitin and proteasome pathways (7 papers), TGF-β signaling in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Jun Tu is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), TGF-β signaling in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Jun Tu collaborates with scholars based in China, United States and Germany. Jun Tu's co-authors include Yaozong Yuan, Qingli Li, Gang‐Ming Zou, Ru‐Lin Huang, Mingjun Wang, Yubin Miao, Chengliang Liu, Qingfeng Li, Guangwang Liu and Jinke Cheng and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Science Advances.

In The Last Decade

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

Fields of papers citing papers by Jun Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Tu

Since Specialization
Citations

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