Alice Mui

132 total papers · 7.8k total citations
91 papers, 6.5k citations indexed

About

Alice Mui is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Alice Mui has authored 91 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 37 papers in Molecular Biology and 28 papers in Oncology. Recurrent topics in Alice Mui's work include Immune Cell Function and Interaction (22 papers), Cytokine Signaling Pathways and Interactions (22 papers) and PI3K/AKT/mTOR signaling in cancer (11 papers). Alice Mui is often cited by papers focused on Immune Cell Function and Interaction (22 papers), Cytokine Signaling Pathways and Interactions (22 papers) and PI3K/AKT/mTOR signaling in cancer (11 papers). Alice Mui collaborates with scholars based in Canada, United States and Japan. Alice Mui's co-authors include Atsushi Miyajima, Hiroshi Wakao, Gerald Krystal, Nobuyuki Harada, Toshio Kitamura, Christopher J. Ong, James N. Ihle, Taisei Kinoshita, Anne O’Garra and Francesca Zonin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Alice Mui

87 papers receiving 6.4k citations

Hit Papers

IGIF Does Not Drive Th1 D... 1995 2026 2005 2015 1997 1995 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alice Mui 3.0k 2.6k 2.6k 748 430 91 6.5k
Anna Mondino 3.8k 1.2× 2.2k 0.8× 1.9k 0.7× 469 0.6× 321 0.7× 109 6.5k
James W. Mier 2.7k 0.9× 3.3k 1.3× 2.8k 1.1× 1.4k 1.9× 531 1.2× 122 8.3k
Probir Chakravarty 3.8k 1.3× 3.4k 1.3× 3.0k 1.2× 1.2k 1.6× 280 0.7× 110 8.7k
Johannes Stöckl 2.9k 1.0× 2.0k 0.7× 1.5k 0.6× 495 0.7× 322 0.7× 92 5.9k
Jing Sun 4.9k 1.6× 2.1k 0.8× 3.7k 1.4× 948 1.3× 297 0.7× 119 8.1k
Ronald Herbst 2.8k 0.9× 2.4k 0.9× 2.0k 0.8× 504 0.7× 241 0.6× 130 6.5k
Bernard Sordat 1.6k 0.5× 2.3k 0.9× 1.7k 0.7× 1.0k 1.4× 473 1.1× 111 5.7k
Roberto Benelli 1.7k 0.6× 2.6k 1.0× 2.0k 0.8× 1.1k 1.4× 236 0.5× 123 6.7k
G. Kenneth Haines 2.3k 0.8× 2.1k 0.8× 2.2k 0.8× 704 0.9× 403 0.9× 92 6.6k
T Hirano 2.9k 1.0× 1.4k 0.5× 1.9k 0.8× 552 0.7× 973 2.3× 117 6.1k

Countries citing papers authored by Alice Mui

Since Specialization
Citations

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

Fields of papers citing papers by Alice Mui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alice Mui

This figure shows the co-authorship network connecting the top 25 collaborators of Alice Mui. A scholar is included among the top collaborators of Alice Mui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alice Mui. Alice Mui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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