Shijiang Mi

541 total citations
20 papers, 340 citations indexed

About

Shijiang Mi is a scholar working on Agronomy and Crop Science, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shijiang Mi has authored 20 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 8 papers in Infectious Diseases and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shijiang Mi's work include Animal Disease Management and Epidemiology (12 papers), Viral gastroenteritis research and epidemiology (7 papers) and Viral Infections and Immunology Research (7 papers). Shijiang Mi is often cited by papers focused on Animal Disease Management and Epidemiology (12 papers), Viral gastroenteritis research and epidemiology (7 papers) and Viral Infections and Immunology Research (7 papers). Shijiang Mi collaborates with scholars based in China, United States and Spain. Shijiang Mi's co-authors include Changchun Tu, Wenjie Gong, Jiumeng Sun, Qing Luo, Guoqiang Zhu, Biao He, Yan Zhu, Wei Li, Zexi Lu and Zongji Lu and has published in prestigious journals such as Journal of Virology, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Shijiang Mi

18 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijiang Mi China 10 216 151 148 133 106 20 340
Aliper Ti Russia 10 210 1.0× 212 1.4× 134 0.9× 92 0.7× 97 0.9× 58 335
T.K. Rajkhowa India 10 161 0.7× 160 1.1× 52 0.4× 92 0.7× 97 0.9× 45 294
Zhuo Ha China 12 212 1.0× 178 1.2× 184 1.2× 75 0.6× 38 0.4× 29 326
Yonlayong Woonwong Thailand 8 273 1.3× 169 1.1× 214 1.4× 120 0.9× 66 0.6× 18 352
Zongji Lu China 10 114 0.5× 142 0.9× 49 0.3× 165 1.2× 216 2.0× 16 361
Katarzyna Podgórska Poland 13 479 2.2× 429 2.8× 317 2.1× 102 0.8× 109 1.0× 38 574
Hanqin Shen China 10 234 1.1× 195 1.3× 157 1.1× 79 0.6× 57 0.5× 29 316
Alicia Urniza Spain 11 337 1.6× 372 2.5× 227 1.5× 112 0.8× 150 1.4× 16 501
Hanna Turlewicz‐Podbielska Poland 8 195 0.9× 213 1.4× 85 0.6× 35 0.3× 51 0.5× 18 317
Vikas Kulshreshtha United States 9 214 1.0× 246 1.6× 183 1.2× 73 0.5× 120 1.1× 19 386

Countries citing papers authored by Shijiang Mi

Since Specialization
Citations

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

Fields of papers citing papers by Shijiang Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijiang Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Shijiang Mi. A scholar is included among the top collaborators of Shijiang Mi 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 Shijiang Mi. Shijiang Mi 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.
Peng, Xinyu, Han Zhang, Fang Lian, et al.. (2024). Development of Human Monoclonal Antibodies With Broad Reactivity for Rabies Postexposure Prophylaxis. Journal of Medical Virology. 96(11). e70068–e70068.
2.
Mi, Shijiang, et al.. (2024). Generation and epitope mapping of novel neutralizing monoclonal antibodies against glycoprotein E2 of CSFV. International Journal of Biological Macromolecules. 282(Pt 1). 136609–136609.
3.
Mi, Shijiang, Yuying Yang, & Tianming Li. (2024). Epidemiological changes of common respiratory viruses in Shanghai, during 2021–2023. Clinical Epidemiology and Global Health. 31. 101905–101905. 1 indexed citations
4.
Hao, Yuqing, Biao He, Xuezheng Li, et al.. (2022). Severe Acute Hepatitis Outbreaks Associated with a Novel Hepacivirus in Rhizomys pruinosus in Hainan, China. Journal of Virology. 96(17). e0078222–e0078222. 6 indexed citations
5.
Yang, Zhe, Zongji Lu, Shijiang Mi, et al.. (2022). Identification of two novel ephemeroviruses in pigs infected by classical swine fever virus. Infection Genetics and Evolution. 100. 105273–105273. 2 indexed citations
6.
Mi, Shijiang, Lihua Wang, Hongwei Li, et al.. (2022). Characterization of monoclonal antibodies that specifically differentiate field isolates from vaccine strains of classical swine fever virus. Frontiers in Immunology. 13. 930631–930631. 6 indexed citations
7.
Wang, Lihua, Shijiang Mi, Rachel Madera, et al.. (2022). A Novel Competitive ELISA for Specifically Measuring and Differentiating Immune Responses to Classical Swine Fever C-Strain Vaccine in Pigs. Viruses. 14(7). 1544–1544. 1 indexed citations
8.
Liu, Jie, Shijiang Mi, Yanwei Sun, et al.. (2021). Isolation and evolutionary analysis of Senecavirus A isolates from Guangdong province, China. Infection Genetics and Evolution. 91. 104819–104819. 9 indexed citations
9.
10.
He, Biao, et al.. (2021). Mammalian birnaviruses identified in pigs infected by classical swine fever virus. Virus Evolution. 7(2). veab084–veab084. 4 indexed citations
11.
Mi, Shijiang, Shibang Guo, Chao‐Ting Xiao, et al.. (2020). Isolation and Characterization of Porcine Astrovirus 5 from a Classical Swine Fever Virus-Infected Specimen. Journal of Virology. 95(2). 16 indexed citations
12.
Wang, Lihua, Shijiang Mi, Rachel Madera, et al.. (2020). A neutralizing monoclonal antibody-based competitive ELISA for classical swine fever C-strain post–vaccination monitoring. BMC Veterinary Research. 16(1). 14–14. 22 indexed citations
13.
Lu, Zongji, Shijiang Mi, Biao He, et al.. (2020). Isolation and characterization of Getah virus from pigs in Guangdong province of China. Transboundary and Emerging Diseases. 67(5). 2249–2253. 34 indexed citations
14.
Gong, Wenjie, Junhui Li, Jiumeng Sun, et al.. (2019). Commercial E2 subunit vaccine provides full protection to pigs against lethal challenge with 4 strains of classical swine fever virus genotype 2. Veterinary Microbiology. 237. 108403–108403. 26 indexed citations
15.
Gong, Wenjie, Junhui Li, Jiumeng Sun, et al.. (2019). Virulence evaluation of classical swine fever virus subgenotype 2.1 and 2.2 isolates circulating in China. Veterinary Microbiology. 232. 114–120. 20 indexed citations
16.
Hu, Tingsong, Shijiang Mi, Fuqiang Zhang, et al.. (2018). Molecular characterization of a novel bat-associated circovirus with a poly-T tract in the 3′ intergenic region. Virus Research. 250. 95–103. 9 indexed citations
17.
Zhang, Li, Wei Feng, Shijiang Mi, et al.. (2018). mTORC1 Negatively Regulates the Replication of Classical Swine Fever Virus Through Autophagy and IRES-Dependent Translation. iScience. 3. 87–101. 13 indexed citations
18.
Sun, Jiumeng, Wei Li, Zexi Lu, et al.. (2018). Retrospective study of porcine circovirus 3 infection in China. Transboundary and Emerging Diseases. 65(3). 607–613. 66 indexed citations
19.
Gong, Wenjie, Shijiang Mi, Li Zhang, et al.. (2017). Serum Metabolomic Profiling of Piglets Infected with Virulent Classical Swine Fever Virus. Frontiers in Microbiology. 8. 731–731. 32 indexed citations
20.
Mi, Shijiang, et al.. (2017). Retrospective study of porcine circovirus type 2 infection reveals a novel genotype PCV2f. Transboundary and Emerging Diseases. 65(2). 432–440. 69 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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