Kun Bi

47 papers and 1.5k indexed citations i.

About

Kun Bi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kun Bi has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Kun Bi’s work include DNA and Biological Computing (7 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (6 papers). Kun Bi is often cited by papers focused on DNA and Biological Computing (7 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (6 papers). Kun Bi collaborates with scholars based in United States, China and United Kingdom. Kun Bi's co-authors include Amnon Altman, Yoshihiko Tanaka, Michael G. Roth, Nicholas T. Ktistakis, Martín Villalba, Katsuji Sugie, Marianne J.B. van Stipdonk, Nolwenn Coudronnière, Stephen P. Schoenberger and Fernando Rodrı́guez and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Immunity.

In The Last Decade

Co-authorship network of co-authors of Kun Bi i

Fields of papers citing papers by Kun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Bi

Since Specialization
Citations

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