Fenyong Liu

4.3k total citations · 1 hit paper
124 papers, 3.3k citations indexed

About

Fenyong Liu is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Fenyong Liu has authored 124 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Epidemiology, 75 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in Fenyong Liu's work include Cytomegalovirus and herpesvirus research (66 papers), RNA Interference and Gene Delivery (35 papers) and Herpesvirus Infections and Treatments (35 papers). Fenyong Liu is often cited by papers focused on Cytomegalovirus and herpesvirus research (66 papers), RNA Interference and Gene Delivery (35 papers) and Herpesvirus Infections and Treatments (35 papers). Fenyong Liu collaborates with scholars based in United States, China and Grenada. Fenyong Liu's co-authors include Phong Trang, Walter Dunn, Hua Zhu, Rong Hai, Hao Gong, Sangwei Lu, Viktor Štolc, David A. Patterson, Cassie Chou and Hong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Fenyong Liu

117 papers receiving 3.3k citations

Hit Papers

Functional profiling of a human cytomegalovirus genome 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fenyong Liu United States 31 2.0k 1.5k 537 469 362 124 3.3k
Benedikt B. Kaufer Germany 33 2.3k 1.2× 855 0.6× 588 1.1× 350 0.7× 109 0.3× 132 3.5k
Simone Bergmann Germany 27 1.1k 0.6× 1.1k 0.7× 350 0.7× 239 0.5× 120 0.3× 48 3.2k
Teresa L. M. Thurston United Kingdom 18 1.2k 0.6× 1.2k 0.8× 734 1.4× 245 0.5× 76 0.2× 35 3.1k
Vijay Pancholi United States 26 660 0.3× 1.5k 1.0× 445 0.8× 197 0.4× 169 0.5× 49 3.6k
Lorraine D. Hernandez United States 19 890 0.4× 1.3k 0.9× 1.8k 3.3× 69 0.1× 419 1.2× 25 4.0k
Robert O. Watson United States 21 1.0k 0.5× 1.4k 1.0× 1.4k 2.5× 129 0.3× 120 0.3× 39 3.5k
Letícia A. M. Carneiro Brazil 22 1.1k 0.6× 1.7k 1.1× 2.3k 4.3× 149 0.3× 225 0.6× 30 4.2k
Lbachir BenMohamed United States 44 2.4k 1.2× 1.4k 1.0× 2.6k 4.8× 149 0.3× 80 0.2× 134 4.7k
Zijiang Zhao Japan 14 2.8k 1.4× 925 0.6× 674 1.3× 301 0.6× 127 0.4× 17 4.1k
Hajime Hisaeda Japan 31 624 0.3× 734 0.5× 1.7k 3.2× 668 1.4× 73 0.2× 110 3.4k

Countries citing papers authored by Fenyong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fenyong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenyong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fenyong Liu. A scholar is included among the top collaborators of Fenyong Liu 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 Fenyong Liu. Fenyong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Smith, Adam W., et al.. (2024). Engineering of RNase P Ribozymes for Therapy against Human Cytomegalovirus Infection. Viruses. 16(8). 1196–1196.
4.
Liu, Fenyong, et al.. (2024). The Interactions of the Complement System with Human Cytomegalovirus. Viruses. 16(7). 1171–1171. 3 indexed citations
5.
Yan, Bin, Yujun Liu, Yuan‐Chuan Chen, & Fenyong Liu. (2023). A RNase P Ribozyme Inhibits Gene Expression and Replication of Hepatitis B Virus in Cultured Cells. Microorganisms. 11(3). 654–654. 5 indexed citations
6.
Yan, Bin, et al.. (2023). RNase P Ribozyme Effectively Inhibits Human CC-Chemokine Receptor 5 Expression and Human Immunodeficiency Virus 1 Infection. SHILAP Revista de lepidopterología. 3(2). 93–103. 2 indexed citations
7.
Liu, Fenyong, et al.. (2021). Development of Genome Editing Approaches against Herpes Simplex Virus Infections. Viruses. 13(2). 338–338. 10 indexed citations
8.
Wang, Yuanyuan, Ming‐Gang Deng, Nan Li, et al.. (2018). Label-free and sensitive detection assay for terminal deoxynucleotidyl transferase via polyadenosine-coralyne fluorescence enhancement strategy. Analytical Biochemistry. 567. 85–89. 8 indexed citations
9.
Lei, Lei, Wenbiao Wang, Chuan Xia, & Fenyong Liu. (2015). Salmonella Virulence Factor SsrAB Regulated Factor Modulates Inflammatory Responses by Enhancing the Activation of NF-κB Signaling Pathway. The Journal of Immunology. 196(2). 792–802. 12 indexed citations
10.
Zhang, Zhigang, Gia-Phong Vu, Hao Gong, et al.. (2013). Engineered External Guide Sequences Are Highly Effective in Inhibiting Gene Expression and Replication of Hepatitis B Virus in Cultured Cells. PLoS ONE. 8(6). e65268–e65268. 10 indexed citations
11.
Chen, Yuan‐Chuan, Xihan Li, Ke Zen, et al.. (2013). Detection of the pandemic H1N1/2009 influenza A virus by a highly sensitive quantitative real-time reverse-transcription polymerase chain reaction assay. Virologica Sinica. 28(1). 24–35. 4 indexed citations
12.
Xian, Jianchun, Jun Ye, Li Xiao, et al.. (2013). Complete Genome Sequence of a Human Enterovirus 71 Strain Isolated in Wuhan, China, in 2010. Genome Announcements. 1(6). 9 indexed citations
13.
Jiang, Xiaohong, Yuan‐Chuan Chen, Hao Gong, et al.. (2012). Ribonuclease P-mediated inhibition of human cytomegalovirus gene expression and replication induced by engineered external guide sequences. RNA Biology. 9(9). 1186–1195. 8 indexed citations
14.
Yu, Xuekui, Phong Trang, Sanket Shah, et al.. (2005). Dissecting human cytomegalovirus gene function and capsid maturation by ribozyme targeting and electron cryomicroscopy. Proceedings of the National Academy of Sciences. 102(20). 7103–7108. 30 indexed citations
15.
Liu, Fenyong, et al.. (2004). Genetic Analysis of Cytomegalovirus by Shuttle Mutagenesis. Humana Press eBooks. 292. 371–386. 1 indexed citations
16.
Lodoen, Melissa B., et al.. (2004). The Cytomegalovirus m155 Gene Product Subverts Natural Killer Cell Antiviral Protection by Disruption of H60–NKG2D Interactions. The Journal of Experimental Medicine. 200(8). 1075–1081. 112 indexed citations
17.
Trang, Phong, Kihoon Kim, & Fenyong Liu. (2004). Developing RNase P ribozymes for gene-targeting and antiviral therapy. Cellular Microbiology. 6(6). 499–508. 18 indexed citations
18.
Tam, Ada, Jiaming Zhu, Rong Hai, et al.. (2003). Murine Cytomegalovirus with a Transposon Insertional Mutation at Open Reading Frame M35 Is Defective in Growth In Vivo. Journal of Virology. 77(14). 7746–7755. 9 indexed citations
19.
Dunn, Walter, et al.. (2001). RNase P-mediated inhibition of cytomegalovirus protease expression and viral DNA encapsidation by oligonucleotide external guide sequences. Proceedings of the National Academy of Sciences. 98(26). 14831–14836. 26 indexed citations
20.
Zhan, Xiaoyan, Gerardo Abenes, Chonticha Kittinunvorakoon, et al.. (2000). Mutagenesis of Murine Cytomegalovirus Using a Tn3-Based Transposon. Virology. 266(2). 264–274. 35 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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