Juan Yao

78 total papers · 460 total citations
43 papers, 338 citations indexed

About

Juan Yao is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Juan Yao has authored 43 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Biomedical Engineering and 7 papers in Epidemiology. Recurrent topics in Juan Yao's work include Advanced biosensing and bioanalysis techniques (13 papers), RNA Interference and Gene Delivery (5 papers) and Biosensors and Analytical Detection (5 papers). Juan Yao is often cited by papers focused on Advanced biosensing and bioanalysis techniques (13 papers), RNA Interference and Gene Delivery (5 papers) and Biosensors and Analytical Detection (5 papers). Juan Yao collaborates with scholars based in China, Germany and Saudi Arabia. Juan Yao's co-authors include Zhang Zhang, Walter F. Schlech, Padman Jayaratne, Andrew E. Simor, John Devenish, Marie Louie, Yongcan Guo, Ting Wang, Guoming Xie and Xiaoling Huang and has published in prestigious journals such as Analytical Chemistry, Journal of Clinical Microbiology and Analytica Chimica Acta.

In The Last Decade

Juan Yao

37 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Yao 179 91 47 38 38 43 338
Yanan Li 129 0.7× 75 0.8× 48 1.0× 35 0.9× 16 0.4× 38 310
Shumin Wang 197 1.1× 64 0.7× 43 0.9× 29 0.8× 13 0.3× 34 362
Meng Sun 154 0.9× 38 0.4× 18 0.4× 14 0.4× 41 1.1× 29 338
Eun-Mi Lee 181 1.0× 41 0.5× 24 0.5× 15 0.4× 26 0.7× 31 384
Mehdi Zeinoddini 257 1.4× 103 1.1× 33 0.7× 16 0.4× 112 2.9× 61 391
Arthur Klausner 202 1.1× 53 0.6× 40 0.9× 12 0.3× 17 0.4× 71 349
Ran Lin 105 0.6× 38 0.4× 28 0.6× 13 0.3× 32 0.8× 36 336
Sungchan Jang 162 0.9× 54 0.6× 46 1.0× 69 1.8× 17 0.4× 24 396
Simon Caserman 129 0.7× 39 0.4× 19 0.4× 22 0.6× 14 0.4× 29 343
Sojeong Lee 149 0.8× 65 0.7× 10 0.2× 16 0.4× 19 0.5× 44 326

Countries citing papers authored by Juan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Juan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Yao

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