Xiaohui Yao

62 total papers · 404 total citations
33 papers, 288 citations indexed

About

Xiaohui Yao is a scholar working on Molecular Biology, Infectious Diseases and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiaohui Yao has authored 33 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiaohui Yao's work include Virus-based gene therapy research (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Animal Virus Infections Studies (5 papers). Xiaohui Yao is often cited by papers focused on Virus-based gene therapy research (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Animal Virus Infections Studies (5 papers). Xiaohui Yao collaborates with scholars based in China, Macao and United States. Xiaohui Yao's co-authors include Jimei Li, Xiangdong Li, Yangyang Chen, An Chen, Panrao Liu, Zhenbang Zhu, Yazhuo Zhang, Chuzhong Li, Hua Gao and Hanrui Chen and has published in prestigious journals such as Journal of Virology, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Xiaohui Yao

31 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaohui Yao 74 73 67 47 45 33 288
Wang Xu 53 0.7× 38 0.5× 55 0.8× 60 1.3× 31 0.7× 31 296
Qianqian Ji 131 1.8× 44 0.6× 65 1.0× 73 1.6× 25 0.6× 35 309
Xiaoling Yan 87 1.2× 59 0.8× 43 0.6× 23 0.5× 19 0.4× 25 288
Mariko Yano 82 1.1× 47 0.6× 38 0.6× 16 0.3× 23 0.5× 27 265
Xiaoxing Xu 100 1.4× 39 0.5× 25 0.4× 62 1.3× 47 1.0× 20 298
Evgeny Vasilyev 93 1.3× 64 0.9× 36 0.5× 108 2.3× 36 0.8× 32 276
Xuejing Sun 125 1.7× 44 0.6× 33 0.5× 18 0.4× 38 0.8× 32 305
Shweta Birla 110 1.5× 13 0.2× 94 1.4× 68 1.4× 27 0.6× 22 293
Yuanqi Yang 56 0.8× 47 0.6× 85 1.3× 100 2.1× 28 0.6× 34 284
Yumiko Komatsu 57 0.8× 22 0.3× 26 0.4× 42 0.9× 51 1.1× 18 186

Countries citing papers authored by Xiaohui Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Yao

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