Hua Yu

40 total papers · 655 total citations
29 papers, 474 citations indexed

About

Hua Yu is a scholar working on Molecular Medicine, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Hua Yu has authored 29 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Medicine, 10 papers in Epidemiology and 10 papers in Clinical Biochemistry. Recurrent topics in Hua Yu's work include Antibiotic Resistance in Bacteria (24 papers), Bacterial Identification and Susceptibility Testing (10 papers) and Antibiotic Use and Resistance (5 papers). Hua Yu is often cited by papers focused on Antibiotic Resistance in Bacteria (24 papers), Bacterial Identification and Susceptibility Testing (10 papers) and Antibiotic Use and Resistance (5 papers). Hua Yu collaborates with scholars based in China, United States and Nigeria. Hua Yu's co-authors include Hong Du, Liang Chen, Xiangning Huang, Bin Huang, Bin Shan, Wei Jia, Dan Li, Yi‐Wei Tang, Fen Qu and Jie Zhang and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Journal of Ecology.

In The Last Decade

Hua Yu

28 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Hua Yu 344 122 121 91 90 29 474
Elsa De La Cadena 357 1.0× 131 1.1× 91 0.8× 70 0.8× 86 1.0× 33 446
My-Van La 285 0.8× 120 1.0× 94 0.8× 89 1.0× 63 0.7× 20 433
Eleonora Riccobono 300 0.9× 131 1.1× 82 0.7× 117 1.3× 70 0.8× 31 488
Fernando Reyna-Flores 369 1.1× 172 1.4× 84 0.7× 84 0.9× 119 1.3× 22 454
Fatma Onmus-Leone 348 1.0× 135 1.1× 88 0.7× 89 1.0× 132 1.5× 15 458
Xiaohua Qin 340 1.0× 164 1.3× 117 1.0× 122 1.3× 89 1.0× 20 457
Alexander M. Wailan 448 1.3× 222 1.8× 99 0.8× 89 1.0× 131 1.5× 23 547
Daniela Cejas 345 1.0× 181 1.5× 80 0.7× 74 0.8× 90 1.0× 28 455
Claire Amaris Hobson 329 1.0× 108 0.9× 179 1.5× 78 0.9× 63 0.7× 27 409
Lavinia Nery Villa Stangler Arend 339 1.0× 216 1.8× 95 0.8× 117 1.3× 89 1.0× 27 483

Countries citing papers authored by Hua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yu

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