Hua Bai

18 papers and 459 indexed citations i.

About

Hua Bai is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Hua Bai has authored 18 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Ecology. Recurrent topics in Hua Bai’s work include Bacterial Genetics and Biotechnology (6 papers), CRISPR and Genetic Engineering (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Hua Bai is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), CRISPR and Genetic Engineering (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Hua Bai collaborates with scholars based in China and United States. Hua Bai's co-authors include Huaguang Lu, Billy M. Hargis, Yanbin Li, Ronghui Wang, Aihua Deng, Tingyi Wen, Yun Zhang, Jie Wu, Xiuling Shang and Laiyou Wang and has published in prestigious journals such as Applied Microbiology and Biotechnology, Sensors and Journal of Structural Biology.

In The Last Decade

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

Fields of papers citing papers by Hua Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Bai

Since Specialization
Citations

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