Ge Bai

34 papers and 583 indexed citations i.

About

Ge Bai is a scholar working on Molecular Biology, Surgery and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ge Bai has authored 34 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ge Bai’s work include Cholesterol and Lipid Metabolism (9 papers), Advanced Photocatalysis Techniques (5 papers) and Steroid Chemistry and Biochemistry (4 papers). Ge Bai is often cited by papers focused on Cholesterol and Lipid Metabolism (9 papers), Advanced Photocatalysis Techniques (5 papers) and Steroid Chemistry and Biochemistry (4 papers). Ge Bai collaborates with scholars based in China, United States and Singapore. Ge Bai's co-authors include Chuan‐Guo Ma, Xiaowei Chen, Pengran Guo, Bing Huang, Liang Chen, Shujing Guo, Feng Yu, Gang Wang, Xueli Cao and Ke Lü and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Agricultural and Food Chemistry and Chemical Engineering Journal.

In The Last Decade

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

Fields of papers citing papers by Ge Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Bai

Since Specialization
Citations

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