Pu Zang

13 papers and 338 indexed citations i.

About

Pu Zang is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Pu Zang has authored 13 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Molecular Biology. Recurrent topics in Pu Zang’s work include Diabetes Management and Research (4 papers), Adipose Tissue and Metabolism (4 papers) and Diabetes and associated disorders (3 papers). Pu Zang is often cited by papers focused on Diabetes Management and Research (4 papers), Adipose Tissue and Metabolism (4 papers) and Diabetes and associated disorders (3 papers). Pu Zang collaborates with scholars based in China and United States. Pu Zang's co-authors include Jiaqing Shao, Junli Duan, Ding‐Feng Su, Jawahar L. Mehta, Pu Xu, Jin‐Min Guo, Jun Cai, Ying Li, Wei Wang and Aijun Liu and has published in prestigious journals such as Cell Research, Oncotarget and Aging Cell.

In The Last Decade

Co-authorship network of co-authors of Pu Zang i

Fields of papers citing papers by Pu Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pu Zang

Since Specialization
Citations

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