Pu Ge

52 papers and 587 indexed citations i.

About

Pu Ge is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Pu Ge has authored 52 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Pu Ge’s work include Metabolism, Diabetes, and Cancer (10 papers), Mechanisms of Drug-Induced Hepatotoxicity (5 papers) and Pancreatic Islet Dysfunction and Regeneration (4 papers). Pu Ge is often cited by papers focused on Metabolism, Diabetes, and Cancer (10 papers), Mechanisms of Drug-Induced Hepatotoxicity (5 papers) and Pancreatic Islet Dysfunction and Regeneration (4 papers). Pu Ge collaborates with scholars based in China, Macao and Hong Kong. Pu Ge's co-authors include Li Zhang, Jie Dai, Jingyuan Wan, Rong Jiang, Ling Lin, Kai Hu, Longjiang Li, Qing Ai, Hongzhong Li and Ling Lin and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and The FASEB Journal.

In The Last Decade

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

Fields of papers citing papers by Pu Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pu Ge

Since Specialization
Citations

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