Feng-yi Mai

9 papers and 643 indexed citations i.

About

Feng-yi Mai is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Feng-yi Mai has authored 9 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cell Biology. Recurrent topics in Feng-yi Mai’s work include Inflammasome and immune disorders (4 papers), Cell death mechanisms and regulation (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Feng-yi Mai is often cited by papers focused on Inflammasome and immune disorders (4 papers), Cell death mechanisms and regulation (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Feng-yi Mai collaborates with scholars based in China and United States. Feng-yi Mai's co-authors include Dong‐Yun Ouyang, Lihui Xu, Xian‐Hui He, Chenying Zeng, Qiongzhen Zeng, Chenguang Li, Chengcheng Zhang, Bo Hu, Yaofeng Wang and Chenguang Li and has published in prestigious journals such as Journal of Clinical Investigation, Biomaterials and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Feng-yi Mai i

Fields of papers citing papers by Feng-yi Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng-yi Mai. 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 Feng-yi Mai. The network helps show where Feng-yi Mai may publish in the future.

Countries citing papers authored by Feng-yi Mai

Since Specialization
Citations

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