Shuyu Yao

28 total papers · 1.1k total citations
19 papers, 852 citations indexed

About

Shuyu Yao is a scholar working on Immunology, Infectious Diseases and Electrical and Electronic Engineering. According to data from OpenAlex, Shuyu Yao has authored 19 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Shuyu Yao's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Immune Response and Inflammation (5 papers). Shuyu Yao is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Immune Response and Inflammation (5 papers). Shuyu Yao collaborates with scholars based in United States, China and France. Shuyu Yao's co-authors include Crystal Y. Chen, Zheng W. Chen, Jie Sun, Li Jiang, Gucheng Zeng, Mark H. Kaplan, Lisa Halliday, Duy Pham, Dan Huang and Richard C. Wang and has published in prestigious journals such as Blood, Immunity and The Journal of Immunology.

In The Last Decade

Shuyu Yao

19 papers receiving 842 citations

Author Peers

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

Author						Papers	Cites
Shuyu Yao	582	251	236	132	118	19	852
Chia-Chun Chang	460 0.8×	208 0.8×	91 0.4×	129 1.0×	170 1.4×	22	964
Sara L. Colpitts	490 0.8×	125 0.5×	74 0.3×	125 0.9×	362 3.1×	20	859
Quanyi Chen	438 0.8×	218 0.9×	109 0.5×	234 1.8×	307 2.6×	17	920
Arunika Mukhopadhaya	508 0.9×	44 0.2×	94 0.4×	138 1.0×	312 2.6×	31	930
Aqu Alu	349 0.6×	101 0.4×	251 1.1×	184 1.4×	391 3.3×	22	1.0k
Guangan Hu	432 0.7×	90 0.4×	101 0.4×	137 1.0×	343 2.9×	22	1.0k
Yongyin Li	213 0.4×	240 1.0×	388 1.6×	102 0.8×	265 2.2×	41	910
Brandon M. Johnson	631 1.1×	110 0.4×	155 0.7×	139 1.1×	331 2.8×	15	914
Aida Ibricevic	251 0.4×	431 1.7×	146 0.6×	52 0.4×	221 1.9×	18	1.0k
Garwin Sing	400 0.7×	220 0.9×	86 0.4×	163 1.2×	357 3.0×	34	1.0k

Countries citing papers authored by Shuyu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Shuyu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyu Yao. A scholar is included among the top collaborators of Shuyu Yao 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 Shuyu Yao. Shuyu Yao 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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