En‐Min Zhou

5.7k total citations
206 papers, 4.3k citations indexed

About

En‐Min Zhou is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, En‐Min Zhou has authored 206 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Infectious Diseases, 100 papers in Animal Science and Zoology and 68 papers in Genetics. Recurrent topics in En‐Min Zhou's work include Viral gastroenteritis research and epidemiology (124 papers), Animal Virus Infections Studies (99 papers) and Virus-based gene therapy research (68 papers). En‐Min Zhou is often cited by papers focused on Viral gastroenteritis research and epidemiology (124 papers), Animal Virus Infections Studies (99 papers) and Virus-based gene therapy research (68 papers). En‐Min Zhou collaborates with scholars based in China, United States and United Kingdom. En‐Min Zhou's co-authors include Qin Zhao, Yuchen Nan, Gaiping Zhang, Shuqi Xiao, Yani Sun, Taofeng Du, Baoyuan Liu, Qin Zhao, Julian A. Hiscox and Xiang‐Jin Meng and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

En‐Min Zhou

200 papers receiving 4.2k citations

Author Peers

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

Author Last Decade Papers Cites
En‐Min Zhou 2.5k 2.0k 1.3k 740 646 206 4.3k
Peter J. Bredenbeek 2.8k 1.1× 1.4k 0.7× 465 0.4× 1.0k 1.4× 264 0.4× 49 4.3k
Ian Goodfellow 3.9k 1.5× 2.0k 1.0× 1.4k 1.0× 1.6k 2.2× 283 0.4× 159 6.1k
Ian N. Clarke 3.5k 1.4× 1.7k 0.9× 1.0k 0.8× 1.9k 2.6× 407 0.6× 165 7.7k
Susana López 4.6k 1.8× 2.1k 1.1× 1.9k 1.5× 1.2k 1.7× 297 0.5× 176 6.1k
Jason M. Mackenzie 3.8k 1.5× 872 0.4× 569 0.4× 1.2k 1.6× 426 0.7× 95 6.5k
Yuchen Nan 1.4k 0.5× 1.0k 0.5× 728 0.6× 327 0.4× 546 0.8× 88 2.4k
Ming Tan 4.8k 1.9× 2.3k 1.2× 1.7k 1.3× 480 0.6× 633 1.0× 127 5.7k
Yao‐Wei Huang 2.9k 1.2× 2.4k 1.2× 1.4k 1.1× 304 0.4× 761 1.2× 132 3.9k
Margo A. Brinton 3.2k 1.3× 772 0.4× 480 0.4× 1.4k 2.0× 222 0.3× 120 6.2k
Philippe Biagini 1.3k 0.5× 1.5k 0.7× 809 0.6× 233 0.3× 257 0.4× 72 2.8k

Countries citing papers authored by En‐Min Zhou

Since Specialization
Citations

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

Fields of papers citing papers by En‐Min Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by En‐Min Zhou. 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 En‐Min Zhou. The network helps show where En‐Min Zhou may publish in the future.

Co-authorship network of co-authors of En‐Min Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of En‐Min Zhou. A scholar is included among the top collaborators of En‐Min Zhou 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 En‐Min Zhou. En‐Min Zhou 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
1.
Li, Jinyao, Jingyu Liu, Qin Zhao, et al.. (2025). Identification and pathogenicity of avian hepatitis E virus from quail. BMC Veterinary Research. 21(1). 79–79.
2.
Zhou, En‐Min, et al.. (2024). Dissecting the genome sequence of a clinical isolated Cunninghamella bertholletiae Z2 strain with rich cytochrome P450 enzymes (Article). Infection Genetics and Evolution. 120. 105575–105575. 1 indexed citations
3.
Wang, Xueting, Pinpin Ji, Yingying Deng, et al.. (2024). A Broad-specificity Neutralizing Nanobody against Hepatitis E Virus Capsid Protein. The Journal of Immunology. 213(4). 442–455. 1 indexed citations
4.
Deng, Yingying, Yani Sun, Lei Wang, et al.. (2024). A novel strategy for an anti-idiotype vaccine: nanobody mimicking neutralization epitope of porcine circovirus type 2. Journal of Virology. 98(2). e0165023–e0165023. 5 indexed citations
5.
Zhang, Beibei, Jie Fan, Jie Wang, et al.. (2022). Avian Hepatitis E Virus ORF2 Protein Interacts with Rap1b to Induce Cytoskeleton Rearrangement That Facilitates Virus Internalization. Microbiology Spectrum. 10(1). e0226521–e0226521. 10 indexed citations
6.
Wu, Xiaoping, Qiuping Huang, Xu Chen, et al.. (2021). Major Vault Protein Inhibits Porcine Reproductive and Respiratory Syndrome Virus Infection in CRL2843CD163 Cell Lines and Primary Porcine Alveolar Macrophages. Viruses. 13(11). 2267–2267. 2 indexed citations
7.
Mu, Yang, Haipeng Zhu, Xin Zhang, et al.. (2021). A nanobody‐horseradish peroxidase fusion protein‐based competitive ELISA for rapid detection of antibodies against porcine circovirus type 2. Journal of Nanobiotechnology. 19(1). 34–34. 37 indexed citations
8.
Mu, Yang, Haipeng Zhu, Xin Zhang, et al.. (2021). Correction to: A nanobody-horseradish peroxidase fusion protein-based competitive ELISA for rapid detection of antibodies against porcine circovirus type 2. Journal of Nanobiotechnology. 19(1). 3 indexed citations
9.
10.
11.
Zhang, Teng, Yunchao Liu, Yumei Chen, et al.. (2020). A single dose glycoprotein D-based subunit vaccine against pseudorabies virus infection. Vaccine. 38(39). 6153–6161. 25 indexed citations
12.
13.
Guo, Wen‐Ping, Gang Xu, Yihan Wang, et al.. (2019). Fluorescence resonance energy transfer combined with asymmetric PCR for broad and sensitive detection of porcine reproductive and respiratory syndrome virus 2. Journal of Virological Methods. 272. 113710–113710. 5 indexed citations
14.
Chen, Xinxin, Songlin Qiao, Rui Li, et al.. (2019). Porcine Reproductive and Respiratory Syndrome Virus Enhances Self-Replication via AP-1–Dependent Induction of SOCS1. The Journal of Immunology. 204(2). 394–407. 31 indexed citations
15.
Li, Huixia, Qizhong Lu, Baoyuan Liu, et al.. (2018). Prevalence of hepatitis E virus ( HEV ) infection in various pig farms from Shaanxi Province, China: First detection of HEV RNA in pig semen. Transboundary and Emerging Diseases. 66(1). 72–82. 26 indexed citations
16.
Guo, Wen‐Ping, Baicheng Huang, Qin Zhao, et al.. (2018). Human-pathogenic Anaplasma spp., and Rickettsia spp. in animals in Xi’an, China. PLoS neglected tropical diseases. 12(11). e0006916–e0006916. 45 indexed citations
17.
Du, Taofeng, Shuqi Xiao, Na Li, et al.. (2017). Curcumin is a promising inhibitor of genotype 2 porcine reproductive and respiratory syndrome virus infection. BMC Veterinary Research. 13(1). 298–298. 35 indexed citations
18.
Li, Liangliang, Chunyan Wu, Gaopeng Hou, et al.. (2017). Generation of murine macrophage-derived cell lines expressing porcine CD163 that support porcine reproductive and respiratory syndrome virus infection. BMC Biotechnology. 17(1). 77–77. 16 indexed citations
19.
Xiao, Shuqi, Taofeng Du, Xue Wang, et al.. (2016). MiR-22 promotes porcine reproductive and respiratory syndrome virus replication by targeting the host factor HO-1. Veterinary Microbiology. 192. 226–230. 27 indexed citations
20.
Liu, Hongliang, Yan Wang, Hong Duan, et al.. (2015). An intracellularly expressed Nsp9-specific nanobody in MARC-145 cells inhibits porcine reproductive and respiratory syndrome virus replication. Veterinary Microbiology. 181(3-4). 252–260. 60 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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