Kaihong Mi

10 papers and 373 indexed citations i.

About

Kaihong Mi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kaihong Mi has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Kaihong Mi’s work include Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (4 papers) and Biology and Pathology of Keratins and Related Disorders (2 papers). Kaihong Mi is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (4 papers) and Biology and Pathology of Keratins and Related Disorders (2 papers). Kaihong Mi collaborates with scholars based in United States and Hong Kong. Kaihong Mi's co-authors include Gail V.W. Johnson, Philip J. Dolan, Etty Benveniste, Pavle Repovic, William H. Stoothoff, Sheng‐Cai Lin, Craig D. C. Bailey, Alok A. Khorana, Matthew F. Kalady and Cristiano Quintini and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurochemistry and Glia.

In The Last Decade

Co-authorship network of co-authors of Kaihong Mi i

Fields of papers citing papers by Kaihong Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaihong Mi

Since Specialization
Citations

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