Mei Qi Kwa

11 papers and 336 indexed citations i.

About

Mei Qi Kwa is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Mei Qi Kwa has authored 11 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Mei Qi Kwa’s work include NF-κB Signaling Pathways (5 papers), Immune Response and Inflammation (4 papers) and Ubiquitin and proteasome pathways (2 papers). Mei Qi Kwa is often cited by papers focused on NF-κB Signaling Pathways (5 papers), Immune Response and Inflammation (4 papers) and Ubiquitin and proteasome pathways (2 papers). Mei Qi Kwa collaborates with scholars based in Australia, Denmark and Germany. Mei Qi Kwa's co-authors include Cord Brakebusch, Kate M. Herum, Glen M. Scholz, Eric C. Reynolds, Jennifer Huynh, John A. Hamilton, Matthew J. Sweet, Thao Nguyen, Andrew D. Cook and Adrian Achuthan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Cellular Signalling.

In The Last Decade

Co-authorship network of co-authors of Mei Qi Kwa i

Fields of papers citing papers by Mei Qi Kwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei Qi Kwa. 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 Mei Qi Kwa. The network helps show where Mei Qi Kwa may publish in the future.

Countries citing papers authored by Mei Qi Kwa

Since Specialization
Citations

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