Hongkai Bi

61 total papers · 1.2k total citations
55 papers, 874 citations indexed

About

Hongkai Bi is a scholar working on Molecular Biology, Pharmacology and Surgery. According to data from OpenAlex, Hongkai Bi has authored 55 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Pharmacology and 13 papers in Surgery. Recurrent topics in Hongkai Bi's work include Microbial Natural Products and Biosynthesis (16 papers), Helicobacter pylori-related gastroenterology studies (13 papers) and Fungal Biology and Applications (8 papers). Hongkai Bi is often cited by papers focused on Microbial Natural Products and Biosynthesis (16 papers), Helicobacter pylori-related gastroenterology studies (13 papers) and Fungal Biology and Applications (8 papers). Hongkai Bi collaborates with scholars based in China, United States and Nigeria. Hongkai Bi's co-authors include John E. Cronan, Jia Jia, Haihong Wang, Lei Zhu, Liping Zeng, Quin H. Christensen, Yan-Qiang Huang, Youjun Feng, Yonghong Yu and Jincheng Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hongkai Bi

51 papers receiving 867 citations

Author Peers

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

Author Last Decade Papers Cites
Hongkai Bi 362 186 119 117 117 55 874
Zhongyuan Wu 347 1.0× 110 0.6× 47 0.4× 44 0.4× 113 1.0× 57 1.0k
Silvia M. Albillos 389 1.1× 209 1.1× 99 0.8× 58 0.5× 131 1.1× 30 953
Rui Zhai 571 1.6× 135 0.7× 57 0.5× 43 0.4× 136 1.2× 39 891
Jinyu Li 245 0.7× 133 0.7× 26 0.2× 90 0.8× 142 1.2× 53 805
Arefeh Seyedarabi 343 0.9× 64 0.3× 62 0.5× 43 0.4× 75 0.6× 44 783
Mizied Falah 513 1.4× 92 0.5× 40 0.3× 38 0.3× 138 1.2× 33 987
Ayesha Rahman 422 1.2× 158 0.8× 63 0.5× 24 0.2× 81 0.7× 25 836
Mahmoud A. Elfaky 325 0.9× 121 0.7× 73 0.6× 32 0.3× 141 1.2× 62 815
Huizhan Zhang 670 1.9× 426 2.3× 151 1.3× 29 0.2× 114 1.0× 64 1.0k
Hui Hong 360 1.0× 253 1.4× 68 0.6× 25 0.2× 62 0.5× 29 823

Countries citing papers authored by Hongkai Bi

Since Specialization
Citations

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

Fields of papers citing papers by Hongkai Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkai Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Hongkai Bi. A scholar is included among the top collaborators of Hongkai Bi 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 Hongkai Bi. Hongkai Bi 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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