Guanhui Bao

17 total papers · 547 total citations
15 papers, 425 citations indexed

About

Guanhui Bao is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Guanhui Bao has authored 15 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Guanhui Bao's work include Genomics and Phylogenetic Studies (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Bacterial Genetics and Biotechnology (3 papers). Guanhui Bao is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Bacterial Genetics and Biotechnology (3 papers). Guanhui Bao collaborates with scholars based in China, United States and Australia. Guanhui Bao's co-authors include Yin Li, Yanping Zhang, Yanhe Ma, Yan Zhu, Shaoming Mao, Zugen Chen, Yuanming Luo, Hengkai Meng, Jie Zhou and Haifeng Zhang and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Guanhui Bao

15 papers receiving 418 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guanhui Bao 368 156 121 33 32 15 425
Xiaoqun Nie 366 1.0× 70 0.4× 127 1.0× 39 1.2× 34 1.1× 16 494
Siqiang Huang 350 1.0× 71 0.5× 160 1.3× 18 0.5× 85 2.7× 14 460
Yanzhen Tan 406 1.1× 145 0.9× 122 1.0× 56 1.7× 17 0.5× 13 488
Wolfram Lorenzen 319 0.9× 84 0.5× 61 0.5× 21 0.6× 27 0.8× 12 423
J. Řičica 190 0.5× 85 0.5× 55 0.5× 21 0.6× 30 0.9× 24 367
Annika Röttig 381 1.0× 135 0.9× 89 0.7× 16 0.5× 50 1.6× 12 472
Drew M. DeLorenzo 342 0.9× 166 1.1× 92 0.8× 61 1.8× 38 1.2× 11 445
Chien‐Ting Li 245 0.7× 77 0.5× 156 1.3× 15 0.5× 64 2.0× 12 387
Lindsay Peyriga 272 0.7× 60 0.4× 34 0.3× 32 1.0× 43 1.3× 13 409
Nina Jagmann 319 0.9× 85 0.5× 34 0.3× 44 1.3× 90 2.8× 15 434

Countries citing papers authored by Guanhui Bao

Since Specialization
Citations

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

Fields of papers citing papers by Guanhui Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanhui Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Guanhui Bao. A scholar is included among the top collaborators of Guanhui Bao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guanhui Bao. Guanhui Bao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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