Xiaoyue Jia

47 total papers · 1.0k total citations
31 papers, 792 citations indexed

About

Xiaoyue Jia is a scholar working on Molecular Biology, Periodontics and Pharmacology. According to data from OpenAlex, Xiaoyue Jia has authored 31 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Periodontics and 4 papers in Pharmacology. Recurrent topics in Xiaoyue Jia's work include Oral microbiology and periodontitis research (5 papers), Gut microbiota and health (4 papers) and COVID-19 Clinical Research Studies (3 papers). Xiaoyue Jia is often cited by papers focused on Oral microbiology and periodontitis research (5 papers), Gut microbiota and health (4 papers) and COVID-19 Clinical Research Studies (3 papers). Xiaoyue Jia collaborates with scholars based in China, United States and Greece. Xiaoyue Jia's co-authors include Xuedong Zhou, Xin Xu, Quan Yuan, Liwei Zheng, Longyi Mo, Chengcheng Liu, Xin Zheng, Na Li, Wenjun Mou and Xiaodan Li and has published in prestigious journals such as Frontiers in Immunology, Journal of Dental Research and Environmental Research.

In The Last Decade

Xiaoyue Jia

26 papers receiving 784 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoyue Jia 472 158 131 83 82 31 792
Kai Dun Tang 455 1.0× 118 0.7× 235 1.8× 58 0.7× 94 1.1× 44 861
Ningyuan Sun 461 1.0× 99 0.6× 91 0.7× 104 1.3× 36 0.4× 20 781
Heping Zhao 394 0.8× 113 0.7× 150 1.1× 109 1.3× 20 0.2× 32 711
Isabella Gigante 294 0.6× 102 0.6× 98 0.7× 31 0.4× 156 1.9× 31 763
Jie Guo 457 1.0× 139 0.9× 120 0.9× 44 0.5× 32 0.4× 43 860
Jing Sun 322 0.7× 137 0.9× 87 0.7× 42 0.5× 42 0.5× 52 795
Takamasa Ohnishi 275 0.6× 117 0.7× 121 0.9× 51 0.6× 77 0.9× 48 864
Maximilian Krüger 235 0.5× 159 1.0× 59 0.5× 60 0.7× 73 0.9× 35 762
Ran Yang 351 0.7× 61 0.4× 89 0.7× 45 0.5× 175 2.1× 41 715
Daijiro Hatakeyama 395 0.8× 137 0.9× 79 0.6× 35 0.4× 19 0.2× 40 715

Countries citing papers authored by Xiaoyue Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyue Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyue Jia

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