Xiaojuan Yu

60 total papers · 570 total citations
22 papers, 391 citations indexed

About

Xiaojuan Yu is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaojuan Yu has authored 22 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaojuan Yu's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Protein purification and stability (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Xiaojuan Yu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Protein purification and stability (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Xiaojuan Yu collaborates with scholars based in China, United States and South Korea. Xiaojuan Yu's co-authors include Dongli Wang, Xinquan Wang, Senyan Zhang, Wei Wu, Binlu Huang, Chuanling Zhang, Zhenyu Tian, Demin Zhou, Lihe Zhang and Chuanfei Yu and has published in prestigious journals such as Genes & Development, Analytical Chemistry and Biochemistry.

In The Last Decade

Xiaojuan Yu

18 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaojuan Yu 273 83 69 66 42 22 391
Charles Faust 280 1.0× 112 1.3× 37 0.5× 51 0.8× 24 0.6× 24 413
Karen Thibaudeau 124 0.5× 50 0.6× 44 0.6× 54 0.8× 19 0.5× 24 390
Sai A. Patibandla 133 0.5× 61 0.7× 72 1.0× 35 0.5× 25 0.6× 18 348
Yingying Zhao 183 0.7× 38 0.5× 24 0.3× 24 0.4× 17 0.4× 26 375
Kenneth Krell 283 1.0× 49 0.6× 17 0.2× 58 0.9× 20 0.5× 16 441
Brigitte Nicolas 175 0.6× 20 0.2× 91 1.3× 78 1.2× 50 1.2× 15 426
Benjamin Müller 158 0.6× 34 0.4× 85 1.2× 45 0.7× 41 1.0× 29 379
Tsutomu Arakawa 292 1.1× 48 0.6× 10 0.1× 38 0.6× 29 0.7× 19 431
Dwane E. Wylie 196 0.7× 97 1.2× 19 0.3× 34 0.5× 26 0.6× 18 438
Eun‐Wie Cho 225 0.8× 39 0.5× 26 0.4× 17 0.3× 71 1.7× 26 420

Countries citing papers authored by Xiaojuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Yu

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