Kuan‐Min Fang

14 papers and 336 indexed citations i.

About

Kuan‐Min Fang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kuan‐Min Fang has authored 14 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Kuan‐Min Fang’s work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (3 papers) and Glioma Diagnosis and Treatment (3 papers). Kuan‐Min Fang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (3 papers) and Glioma Diagnosis and Treatment (3 papers). Kuan‐Min Fang collaborates with scholars based in Taiwan. Kuan‐Min Fang's co-authors include Shun‐Fen Tzeng, Chung‐Shi Yang, Synthia H. Sun, Chung‐Shi Yang, Shun‐Fen Tzeng, Chia‐Chun Wang, Henrich Cheng, Hungjiun Liaw, Ming‐Chao Huang and Jun‐Jen Liu and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Glia.

In The Last Decade

Co-authorship network of co-authors of Kuan‐Min Fang i

Fields of papers citing papers by Kuan‐Min Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Min Fang. 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 Kuan‐Min Fang. The network helps show where Kuan‐Min Fang may publish in the future.

Countries citing papers authored by Kuan‐Min Fang

Since Specialization
Citations

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