Shaohua Yu

83 total papers · 4.5k total citations
63 papers, 3.5k citations indexed

About

Shaohua Yu is a scholar working on Molecular Biology, Immunology and Emergency Medicine. According to data from OpenAlex, Shaohua Yu has authored 63 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Emergency Medicine. Recurrent topics in Shaohua Yu's work include Cardiac Arrest and Resuscitation (8 papers), Gout, Hyperuricemia, Uric Acid (8 papers) and Autophagy in Disease and Therapy (6 papers). Shaohua Yu is often cited by papers focused on Cardiac Arrest and Resuscitation (8 papers), Gout, Hyperuricemia, Uric Acid (8 papers) and Autophagy in Disease and Therapy (6 papers). Shaohua Yu collaborates with scholars based in United States, Taiwan and China. Shaohua Yu's co-authors include Jasvinder A. Singh, John D. Cleveland, Lang Chen, Cunren Liu, William E. Grizzle, Huang‐Ge Zhang, Jianhua Wang, Robert P. Kimberly, Liming Zhang and John C. Kappes and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Shaohua Yu

62 papers receiving 3.4k citations

Hit Papers

Rates of Total Joint Repl... 2019 2026 2021 2023 2019 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Shaohua Yu 1.5k 953 918 702 389 63 3.5k
Jeffrey C. Horowitz 1.8k 1.3× 623 0.7× 789 0.9× 369 0.5× 566 1.5× 82 5.7k
Ian A. Darby 1.9k 1.3× 451 0.5× 1.2k 1.3× 433 0.6× 626 1.6× 71 6.4k
Roland M. Schaefer 1.2k 0.8× 735 0.8× 436 0.5× 417 0.6× 255 0.7× 89 4.2k
Robin J. McAnulty 1.9k 1.3× 765 0.8× 794 0.9× 564 0.8× 586 1.5× 121 7.4k
Christoph Kaun 1.2k 0.8× 1.3k 1.3× 942 1.0× 512 0.7× 405 1.0× 111 4.1k
James S. Hagood 1.9k 1.3× 559 0.6× 911 1.0× 500 0.7× 721 1.9× 101 5.6k
J S Pober 1.3k 0.9× 2.6k 2.8× 771 0.8× 413 0.6× 532 1.4× 39 5.6k
Yunying Shi 815 0.6× 426 0.4× 1.0k 1.1× 297 0.4× 499 1.3× 110 3.6k
Linda M. McManus 2.4k 1.6× 1.1k 1.2× 860 0.9× 530 0.8× 567 1.5× 99 6.3k
Veena B. Antony 1.2k 0.8× 665 0.7× 948 1.0× 406 0.6× 460 1.2× 141 5.8k

Countries citing papers authored by Shaohua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Yu

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