Mai Shi

18 total papers · 739 total citations
8 papers, 87 citations indexed

About

Mai Shi is a scholar working on Immunology, Dermatology and Rehabilitation. According to data from OpenAlex, Mai Shi has authored 8 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 1 paper in Dermatology and 1 paper in Rehabilitation. Recurrent topics in Mai Shi's work include Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers) and Asthma and respiratory diseases (1 paper). Mai Shi is often cited by papers focused on Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers) and Asthma and respiratory diseases (1 paper). Mai Shi collaborates with scholars based in China, Australia and United Kingdom. Mai Shi's co-authors include John J. Voorhees, Taihao Quan, Bo Wang, Gary J. Fisher, Yi Zhao, Yilei Cui, Troi Pediongco, Criselle D’Souza, Katherine Kedzierska and Jamie Rossjohn and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Human Reproduction and Journal of Nanobiotechnology.

In The Last Decade

Mai Shi

8 papers receiving 83 citations

Author Peers

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

Author Last Decade Papers Cites
Mai Shi 28 22 12 11 10 8 87
Emma Taylor 22 0.8× 20 0.9× 11 0.9× 2 0.2× 6 0.6× 16 215
John L. Burton 84 3.0× 19 0.9× 16 1.3× 2 0.2× 40 4.0× 10 237
Sonali Bajaj 27 1.0× 31 1.4× 60 5.0× 4 0.4× 26 2.6× 7 96
Jasmine Tran 24 0.9× 9 0.4× 3 0.3× 3 0.3× 19 1.9× 10 59
Qi He 14 0.5× 25 1.1× 6 0.5× 2 0.2× 33 3.3× 9 116
Paras Mehta 12 0.4× 21 1.0× 4 0.3× 1 0.1× 17 1.7× 9 93
Ralph J. Helmsen 7 0.3× 7 0.3× 8 0.7× 17 1.5× 51 5.1× 8 98
H. Zhang 15 0.5× 8 0.4× 25 2.1× 10 0.9× 93 9.3× 8 213
Konstantinos Katsoulis‐Dimitriou 43 1.5× 153 7.0× 11 0.9× 4 0.4× 40 4.0× 7 229
Shaghayegh Zokaei 6 0.2× 8 0.4× 16 1.3× 1 0.1× 23 2.3× 12 81

Countries citing papers authored by Mai Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Shi. A scholar is included among the top collaborators of Mai Shi 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 Mai Shi. Mai Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026