Guangzhen Ji

18 papers and 587 indexed citations i.

About

Guangzhen Ji is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Guangzhen Ji has authored 18 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Genetics. Recurrent topics in Guangzhen Ji’s work include Pluripotent Stem Cells Research (9 papers), Telomeres, Telomerase, and Senescence (8 papers) and CRISPR and Genetic Engineering (7 papers). Guangzhen Ji is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), Telomeres, Telomerase, and Senescence (8 papers) and CRISPR and Genetic Engineering (7 papers). Guangzhen Ji collaborates with scholars based in China, United States and Greece. Guangzhen Ji's co-authors include Na Liu, David L. Keefe, Xiaoying Ye, Junjiu Huang, Lin Liu, Maja Okuka, Fang Wang, Tao Cheng, Bingfeng Zuo and Jianping Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Human Reproduction.

In The Last Decade

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

Fields of papers citing papers by Guangzhen Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangzhen Ji

Since Specialization
Citations

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