Jun Zha

17 papers and 376 indexed citations i.

About

Jun Zha is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Jun Zha has authored 17 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Jun Zha’s work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (3 papers). Jun Zha is often cited by papers focused on Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (3 papers). Jun Zha collaborates with scholars based in China and Taiwan. Jun Zha's co-authors include Yongyong Yan, Linhu Ge, Xinxin Zhu, Haiyan Wang, Weihong Chen, Rui‐tian Liu, Xiaolin Yu, Jianzhong An, Shigang Qiao and Liping Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Life Sciences.

In The Last Decade

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

Fields of papers citing papers by Jun Zha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Zha

Since Specialization
Citations

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