Xiao-Fang Yu

560 total citations
10 papers, 486 citations indexed

About

Xiao-Fang Yu is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, Xiao-Fang Yu has authored 10 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Virology and 5 papers in Molecular Biology. Recurrent topics in Xiao-Fang Yu's work include HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (5 papers) and RNA and protein synthesis mechanisms (3 papers). Xiao-Fang Yu is often cited by papers focused on HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (5 papers) and RNA and protein synthesis mechanisms (3 papers). Xiao-Fang Yu collaborates with scholars based in United States, China and Switzerland. Xiao-Fang Yu's co-authors include Liza Dawson, Wenyan Zhang, Sean L. Evans, Xiaohong Zhou, Xue Han, Ke Zhao, Juan Du, Peng Li, Wei Wei and John Goodier and has published in prestigious journals such as PLoS ONE, PLoS Genetics and Virology.

In The Last Decade

Xiao-Fang Yu

10 papers receiving 484 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xiao-Fang Yu United States	9	262	218	184	146	117	10	486
Vanessa B. Soros United States	9	394 1.5×	300 1.4×	196 1.1×	176 1.2×	201 1.7×	13	660
Heide Muckenfuß Germany	4	262 1.0×	251 1.2×	88 0.5×	113 0.8×	201 1.7×	8	497
Masanobu Kinomoto Japan	10	345 1.3×	120 0.6×	194 1.1×	134 0.9×	128 1.1×	13	452
Petra M. van Ham Netherlands	9	185 0.7×	288 1.3×	123 0.7×	66 0.5×	151 1.3×	11	503
Kirsten Hanke Germany	12	115 0.4×	310 1.4×	112 0.6×	109 0.7×	94 0.8×	24	610
Aierken Abudu United States	9	395 1.5×	222 1.0×	200 1.1×	177 1.2×	206 1.8×	10	568
Vasundhara Varthakavi United States	9	407 1.6×	201 0.9×	238 1.3×	144 1.0×	307 2.6×	10	724
Maria T. Rodriguez‐Plata Spain	11	243 0.9×	205 0.9×	77 0.4×	306 2.1×	107 0.9×	12	525
Çiğdem H. Williams United Kingdom	9	112 0.4×	170 0.8×	288 1.6×	112 0.8×	104 0.9×	10	596
Meijuan Niu Canada	19	752 2.9×	672 3.1×	427 2.3×	198 1.4×	249 2.1×	34	1.2k

Countries citing papers authored by Xiao-Fang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiao-Fang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Fang Yu. A scholar is included among the top collaborators of Xiao-Fang 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 Xiao-Fang Yu. Xiao-Fang 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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10 of 10 papers shown

An, Ping, Sudhir Penugonda, Christian W. Thorball, et al.. (2016). Role of APOBEC3F Gene Variation in HIV-1 Disease Progression and Pneumocystis Pneumonia. PLoS Genetics. 12(3). e1005921–e1005921. 18 indexed citations

Du, Juan, Baisong Zheng, Wenwen Zheng, et al.. (2015). Analysis of Enterovirus 68 Strains from the 2014 North American Outbreak Reveals a New Clade, Indicating Viral Evolution. PLoS ONE. 10(12). e0144208–e0144208. 43 indexed citations

Wang, Hong, et al.. (2014). Identification of HIV-1 Vif Regions Required for CBF-β Interaction and APOBEC3 Suppression. PLoS ONE. 9(5). e95738–e95738. 15 indexed citations

Li, Zhaolong, Jinghua Yu, Li Liu, et al.. (2014). Coxsackievirus A16 Infection Induces Neural Cell and Non-Neural Cell Apoptosis In Vitro. PLoS ONE. 9(10). e111174–e111174. 18 indexed citations

Zhao, Ke, Juan Du, Xue Han, et al.. (2013). Modulation of LINE-1 and Alu/SVA Retrotransposition by Aicardi-Goutières Syndrome-Related SAMHD1. Cell Reports. 4(6). 1108–1115. 162 indexed citations

Guo, Haoran, Wei Wei, Zhenhong Wei, et al.. (2013). Identification of Critical Regions in Human SAMHD1 Required for Nuclear Localization and Vpx-Mediated Degradation. PLoS ONE. 8(7). e66201–e66201. 28 indexed citations

Wang, Kang, Yuanyuan Li, Chunyan Dai, et al.. (2013). Characterization of the Relationship between APOBEC3B Deletion and ACE Alu Insertion. PLoS ONE. 8(5). e64809–e64809. 8 indexed citations

Zhou, Xiaohong, et al.. (2012). Characterization of the Interaction of Full-Length HIV-1 Vif Protein with its Key Regulator CBFβ and CRL5 E3 Ubiquitin Ligase Components. PLoS ONE. 7(3). e33495–e33495. 46 indexed citations

Zhang, Wenyan, Gongying Chen, Anna Maria Niewiadomska, Rongzhen Xu, & Xiao-Fang Yu. (2008). Distinct Determinants in HIV-1 Vif and Human APOBEC3 Proteins Are Required for the Suppression of Diverse Host Anti-Viral Proteins. PLoS ONE. 3(12). e3963–e3963. 56 indexed citations

10.

Dawson, Liza & Xiao-Fang Yu. (1998). The Role of Nucleocapsid of HIV-1 in Virus Assembly. Virology. 251(1). 141–157. 92 indexed citations

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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