Shengqiang Ge

1.3k total citations · 1 hit paper
25 papers, 946 citations indexed

About

Shengqiang Ge is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shengqiang Ge has authored 25 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 12 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shengqiang Ge's work include Animal Disease Management and Epidemiology (17 papers), Vector-Borne Animal Diseases (12 papers) and Viral Infections and Immunology Research (11 papers). Shengqiang Ge is often cited by papers focused on Animal Disease Management and Epidemiology (17 papers), Vector-Borne Animal Diseases (12 papers) and Viral Infections and Immunology Research (11 papers). Shengqiang Ge collaborates with scholars based in China, Thailand and United States. Shengqiang Ge's co-authors include Zhiliang Wang, Lin Li, Xiaodong Wu, Fuxiao Liu, Yutian Liu, Chunju Liu, Jingyue Bao, Tiangang Xu, Weijie Ren and Qinghua Wang and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Shengqiang Ge

23 papers receiving 924 citations

Hit Papers

Molecular Characterizatio... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengqiang Ge China 14 681 436 324 319 263 25 946
C. Letellier Belgium 18 635 0.9× 474 1.1× 202 0.6× 374 1.2× 250 1.0× 36 934
Niranjan Mishra India 16 454 0.7× 325 0.7× 185 0.6× 237 0.7× 192 0.7× 49 774
Alexander Postel Germany 21 1.0k 1.5× 390 0.9× 680 2.1× 346 1.1× 200 0.8× 49 1.4k
K. Weerdmeester Netherlands 14 439 0.6× 348 0.8× 219 0.7× 172 0.5× 247 0.9× 21 720
Scott M. Reid United Kingdom 15 641 0.9× 371 0.9× 386 1.2× 270 0.8× 313 1.2× 30 867
Gian Mario De Mia Italy 22 1.2k 1.8× 837 1.9× 652 2.0× 410 1.3× 131 0.5× 55 1.4k
Claudia Bachofen Switzerland 15 662 1.0× 547 1.3× 235 0.7× 420 1.3× 70 0.3× 48 880
Kadir Yeşilbağ Türkiye 17 631 0.9× 555 1.3× 114 0.4× 538 1.7× 209 0.8× 58 973
Štefan Vilček Slovakia 15 558 0.8× 391 0.9× 255 0.8× 493 1.5× 148 0.6× 31 868
Chin‐Cheng Huang Taiwan 17 391 0.6× 236 0.5× 327 1.0× 202 0.6× 86 0.3× 30 688

Countries citing papers authored by Shengqiang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Shengqiang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengqiang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Shengqiang Ge. A scholar is included among the top collaborators of Shengqiang Ge 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 Shengqiang Ge. Shengqiang Ge 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.
Ge, Shengqiang, et al.. (2025). ASFV p30 interacts with CCAR2 and MATR3 to promote ASFV replication. Veterinary Microbiology. 302. 110416–110416.
2.
Ge, Shengqiang, Yuanyuan Zuo, Ruihong Li, et al.. (2025). ASFV infection induces lipid metabolic disturbances and promotes viral replication. Frontiers in Microbiology. 15. 1532678–1532678. 2 indexed citations
3.
Ge, Shengqiang, Jin Cui, Naijun Han, et al.. (2024). Thoughts on the research of African swine fever live-attenuated vaccines. Vaccine. 42(25). 126052–126052. 7 indexed citations
4.
Wang, Shujuan, Tong Liu, Shengqiang Ge, et al.. (2024). KP177R-based visual assay integrating RPA and CRISPR/Cas12a for the detection of African swine fever virus. Frontiers in Immunology. 15. 1358960–1358960. 12 indexed citations
5.
Xu, Tiangang, et al.. (2023). Summary of the Current Status of African Swine Fever Vaccine Development in China. Vaccines. 11(4). 762–762. 8 indexed citations
6.
Zhu, Zhaozhong, Shengqiang Ge, Zena Cai, et al.. (2022). Systematic identification and characterization of repeat sequences in African swine fever virus genomes. Veterinary Research. 53(1). 101–101. 3 indexed citations
7.
Wang, Zhenzhong, Shengqiang Ge, Yongxin Hu, et al.. (2022). Genetic variation and evolution of attenuated African swine fever virus strain isolated in the field. Virus Research. 319. 198874–198874. 26 indexed citations
8.
Ge, Shengqiang, et al.. (2022). A systematic review of genotypes and serogroups of African swine fever virus. Virus Genes. 58(2). 77–87. 65 indexed citations
9.
Liu, Hualei, Jingjing Wang, Shengqiang Ge, et al.. (2019). Molecular characterization of new emerging sub-genotype VIIh Newcastle disease viruses in China. Virus Genes. 55(3). 314–321. 16 indexed citations
10.
Ge, Shengqiang, Yutian Liu, Lin Li, et al.. (2019). An extra insertion of tandem repeat sequence in African swine fever virus, China, 2019. Virus Genes. 55(6). 843–847. 20 indexed citations
11.
Bao, Jingyue, Qinghua Wang, Peng Lin, et al.. (2019). Genome comparison of African swine fever virus China/2018/Anhui XCGQ strain and related European p72 Genotype II strains. Transboundary and Emerging Diseases. 66(3). 1167–1176. 77 indexed citations
12.
Ge, Shengqiang, Jinming Li, Xiaoxu Fan, et al.. (2018). Molecular Characterization of African Swine Fever Virus, China, 2018. Emerging infectious diseases. 24(11). 2131–2133. 296 indexed citations breakdown →
13.
Wu, Kai, et al.. (2017). Identification of atypical porcine pestivirus infection in swine herds in China. Transboundary and Emerging Diseases. 64(4). 1020–1023. 45 indexed citations
14.
Wang, Jingjing, Hualei Liu, Wei Liu, et al.. (2015). Genomic Characterizations of Six Pigeon Paramyxovirus Type 1 Viruses Isolated from Live Bird Markets in China during 2011 to 2013. PLoS ONE. 10(4). e0124261–e0124261. 47 indexed citations
15.
Liu, Fuxiao, Xiaodong Wu, Lin Li, et al.. (2013). Virus-like particles: Promising platforms with characteristics of DIVA for veterinary vaccine design. Comparative Immunology Microbiology and Infectious Diseases. 36(4). 343–352. 28 indexed citations
16.
Ge, Shengqiang, Dongxia Zheng, Hualei Liu, et al.. (2012). Evaluating viral interference between Influenza virus and Newcastle disease virus using real-time reverse transcription–polymerase chain reaction in chicken eggs. Virology Journal. 9(1). 128–128. 31 indexed citations
17.
Zhao, Guo, Xiaobing Gu, Zhiqiang Duan, et al.. (2012). Novel Reassortant Highly Pathogenic H5N2 Avian Influenza Viruses in Poultry in China. PLoS ONE. 7(9). e46183–e46183. 110 indexed citations
18.
Ge, Shengqiang & Zhiliang Wang. (2011). An overview of Influenza A virus receptors. Critical Reviews in Microbiology. 37(2). 157–165. 45 indexed citations
19.
Liu, Fuxiao, Shengqiang Ge, Lin Li, et al.. (2011). Virus-like particles: potential veterinary vaccine immunogens. Research in Veterinary Science. 93(2). 553–559. 70 indexed citations
20.
Ge, Shengqiang, et al.. (2009). Isolation and identification of cow ruminal facultatively anaerobic cellulolytic bacteria. Journal of Northwest A&F University. 37(3). 35–42.

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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