Ye Liu

4.8k total citations · 1 hit paper
120 papers, 3.5k citations indexed

About

Ye Liu is a scholar working on Virology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ye Liu has authored 120 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Virology, 40 papers in Molecular Biology and 34 papers in Epidemiology. Recurrent topics in Ye Liu's work include Rabies epidemiology and control (31 papers), Virology and Viral Diseases (22 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Ye Liu is often cited by papers focused on Rabies epidemiology and control (31 papers), Virology and Viral Diseases (22 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Ye Liu collaborates with scholars based in China, United States and United Kingdom. Ye Liu's co-authors include Shaoyu Li, Jun Kee Cheng, Shao‐Hua Xiang, Bin Tan, Xingyu Jiang, Rongliang Hu, Shoufeng Zhang, Fei Zhang, Ligeng Xu and Steven D. Bruner and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Ye Liu

117 papers receiving 3.5k citations

Hit Papers

Recent Advances in Catalytic Asymmetric Construction of A... 2021 2026 2022 2024 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Liu China 30 1.2k 1.0k 644 536 532 120 3.5k
Virander S. Chauhan India 41 2.6k 2.2× 1.0k 1.0× 253 0.4× 192 0.4× 925 1.7× 211 5.7k
Kang Chen United States 32 2.0k 1.7× 324 0.3× 251 0.4× 513 1.0× 516 1.0× 118 3.4k
Aviad Levin United Kingdom 32 2.1k 1.7× 952 0.9× 650 1.0× 111 0.2× 154 0.3× 88 4.5k
Soledad Penadés Spain 33 1.9k 1.6× 786 0.8× 563 0.9× 111 0.2× 435 0.8× 71 3.4k
Beatriz G. de la Torre Spain 45 4.0k 3.3× 2.1k 2.0× 551 0.9× 177 0.3× 420 0.8× 265 6.6k
Anu Puri United States 33 2.6k 2.1× 356 0.3× 766 1.2× 73 0.1× 700 1.3× 92 4.8k
N. K. Jain India 50 3.6k 2.9× 1.1k 1.1× 785 1.2× 95 0.2× 309 0.6× 104 6.9k
Marco Marradi Spain 27 1.3k 1.1× 911 0.9× 312 0.5× 55 0.1× 355 0.7× 78 2.6k
Chung‐Yi Wu Taiwan 44 3.3k 2.7× 1.9k 1.9× 214 0.3× 167 0.3× 873 1.6× 124 5.4k
Maria Teresa Sciortino Italy 31 786 0.7× 474 0.5× 598 0.9× 83 0.2× 383 0.7× 86 2.8k

Countries citing papers authored by Ye Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Liu. A scholar is included among the top collaborators of Ye 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 Ye Liu. Ye 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
2.
Yang, Fan, et al.. (2024). Non-volatile taste active compounds and umami evaluation of Agrocybe aegerita hydrolysates derived using different enzymes. Food Bioscience. 58. 103772–103772. 18 indexed citations
3.
Liu, Ye, Lifan Zhang, Yan Chen, et al.. (2024). Incidence and Risk Factors of Active Tuberculosis Among Hospitalized Patients with Latent Tuberculosis Infection in China: A Cohort Study. Infection and Drug Resistance. Volume 17. 953–960. 1 indexed citations
4.
Liu, Ye, Jin‐Song Gong, Chang Su, et al.. (2023). Protein engineering of NADH pyrophosphatase for efficient biocatalytic production of reduced nicotinamide mononucleotide. Frontiers in Bioengineering and Biotechnology. 11. 1159965–1159965. 2 indexed citations
6.
Liu, Ye, Catherine Dabrowska, Antranik Mavousian, et al.. (2021). Bio‐assembling Macro‐Scale, Lumenized Airway Tubes of Defined Shape via Multi‐Organoid Patterning and Fusion. Advanced Science. 8(9). 2003332–2003332. 27 indexed citations
7.
Liu, Ye, Jingxuan Zhu, Zhengfei Yu, et al.. (2019). Exploration of Catalytic Selectivity for Aminotransferase (BtrR) Based on Multiple Molecular Dynamics Simulations. International Journal of Molecular Sciences. 20(5). 1188–1188. 7 indexed citations
8.
Chen, Teng, et al.. (2018). Emerging New Phylogenetic Groups of Rabies Virus in Chinese Ferret Badgers.. PubMed. 31(6). 479–482. 8 indexed citations
9.
Cao, Hongyan, Yunyun Wang, Yuan Gao, et al.. (2018). Molecular Design of β‐Sheet Peptide for the Multi‐Modal Analysis of Disease. Angewandte Chemie. 131(6). 1640–1645. 3 indexed citations
10.
Liu, Ye, et al.. (2018). Primary culture of cat intestinal epithelial cells in vitro and the cDNA library construction. Acta Parasitologica. 63(2). 360–367. 5 indexed citations
11.
Zhang, Bi, et al.. (2017). Dog-transmitted Rabies in Beijing, China.. PubMed. 30(7). 526–529. 6 indexed citations
12.
Wang, Yunyun, et al.. (2016). Peptidic β-sheet binding with Congo Red allows both reduction of error variance and signal amplification for immunoassays. Biosensors and Bioelectronics. 86. 211–218. 17 indexed citations
13.
Bengtsson, Karin Lövgren, Haifeng Song, Linda Stertman, et al.. (2016). Matrix-M adjuvant enhances antibody, cellular and protective immune responses of a Zaire Ebola/Makona virus glycoprotein (GP) nanoparticle vaccine in mice. Vaccine. 34(16). 1927–1935. 94 indexed citations
14.
Zhao, Jinghui, Ye Liu, Shoufeng Zhang, et al.. (2014). Molecular characterization of three ferret badger (Melogale moschata) rabies virus isolates from Jiangxi province, China. Archives of Virology. 159(8). 2059–2067. 15 indexed citations
15.
Zhang, Shoufeng, Ye Liu, Jinghui Zhao, et al.. (2013). Epidemic and maintenance of rabies in chinese ferret badgers (Melogale moschata) indicated by epidemiology and the molecular signatures of rabies viruses. Virologica Sinica. 28(3). 146–151. 5 indexed citations
16.
Zhang, Shoufeng, et al.. (2012). Epidemiological surveillance of rabies in yellow mongooses (Mustela sibirica) and ferret badgers (Melogale moschata) in Jiangxi Province. Zhongguo renshougonghuanbing zazhi. 28(11). 1071–1075. 2 indexed citations
17.
Liu, Ye, Shoufeng Zhang, Fei Zhang, & Rongliang Hu. (2012). Adjuvant activity of Chinese herbal polysaccharides in inactivated veterinary rabies vaccines. International Journal of Biological Macromolecules. 50(3). 598–602. 20 indexed citations
18.
Liu, Ye, Fusheng Li, Yong Liu, et al.. (2011). HIV fragment gag vaccine induces broader T cell response in mice. Vaccine. 29(14). 2582–2589. 13 indexed citations
19.
Liu, Ye, Teng‐Fei Zheng, & Steven D. Bruner. (2011). Structural Basis for Phosphopantetheinyl Carrier Domain Interactions in the Terminal Module of Nonribosomal Peptide Synthetases. Chemistry & Biology. 18(11). 1482–1488. 84 indexed citations
20.
Zhao, Jinghui, et al.. (2010). Analysis of an Outbreak of Human Rabies in 2009 in Hanzhong District, Shaanxi Province, China. Vector-Borne and Zoonotic Diseases. 11(1). 59–68. 4 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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