Meng Ge

622 total citations
33 papers, 415 citations indexed

About

Meng Ge is a scholar working on Animal Science and Zoology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Meng Ge has authored 33 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Animal Science and Zoology, 9 papers in Infectious Diseases and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Meng Ge's work include Animal Virus Infections Studies (16 papers), Viral gastroenteritis research and epidemiology (9 papers) and Viral Infections and Immunology Research (9 papers). Meng Ge is often cited by papers focused on Animal Virus Infections Studies (16 papers), Viral gastroenteritis research and epidemiology (9 papers) and Viral Infections and Immunology Research (9 papers). Meng Ge collaborates with scholars based in China, Montenegro and Canada. Meng Ge's co-authors include Xinglong Yu, Runcheng Li, Taotao Yang, Guo‐Hua Liu, Chao‐Ting Xiao, Danqing Zhao, Wenjie Gong, Lingchen Yang, Yunfei Hu and Changchun Tu and has published in prestigious journals such as Journal of Biological Chemistry, Theoretical and Applied Genetics and Journal of General Virology.

In The Last Decade

Meng Ge

32 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Meng Ge	146	143	109	95	93	33	415
Ilias Bouzalas	337 2.3×	163 1.1×	65 0.6×	129 1.4×	81 0.9×	23	477
Markus Freick	124 0.8×	216 1.5×	103 0.9×	90 0.9×	44 0.5×	43	450
Tao Han	130 0.9×	179 1.3×	86 0.8×	111 1.2×	43 0.5×	17	391
Junming Zhou	238 1.6×	255 1.8×	73 0.7×	167 1.8×	52 0.6×	31	420
Melanie Prarat	132 0.9×	135 0.9×	113 1.0×	95 1.0×	86 0.9×	15	439
Zhi Cao	104 0.7×	108 0.8×	74 0.7×	56 0.6×	82 0.9×	28	306
Mudasser Habib	189 1.3×	165 1.2×	72 0.7×	149 1.6×	91 1.0×	33	438
Shanyuan Zhu	124 0.8×	109 0.8×	60 0.6×	65 0.7×	82 0.9×	49	347
Xiangang Sun	193 1.3×	201 1.4×	67 0.6×	126 1.3×	51 0.5×	35	387

Countries citing papers authored by Meng Ge

Since Specialization

Citations

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

Fields of papers citing papers by Meng Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Ge

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

All Works

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20 of 20 papers shown

Huang, Yafei, Fen Wu, Xing Tang, et al.. (2025). Genome-wide association study implicates possible causal genes for growth, fatness, and reproductive traits in pig. animal. 19(11). 101654–101654. 1 indexed citations

Fan, Jie, Zhixiong Chen, Ping Chen, et al.. (2025). Evaluation of PCV2 vaccine immunogenicity and efficacy using ELISpot to detect virus-specific memory B cells. Porcine Health Management. 11(1). 38–38. 1 indexed citations

Ge, Meng, Danyal Ladha, Jennifer Lymer, et al.. (2024). Thrombocytopenia with and without thrombosis following COVID-19 vaccination: long-term management. Research and Practice in Thrombosis and Haemostasis. 8(2). 102357–102357. 2 indexed citations

Ge, Meng, et al.. (2022). Mapping and characterization of the Rx3 gene for resistance to Xanthomonas euvesicatoria pv. euvesicatoria race T1 in tomato. Theoretical and Applied Genetics. 135(5). 1637–1656. 4 indexed citations

Ge, Meng, et al.. (2021). Prevalence and Genetic Analysis of Porcine Circovirus 3 in China From 2019 to 2020. Frontiers in Veterinary Science. 8. 773912–773912. 16 indexed citations

Su, Xiao, Baoan Wang, Meng Ge, et al.. (2021). A high-continuity and annotated tomato reference genome. BMC Genomics. 22(1). 898–898. 34 indexed citations

Liu, Xin, et al.. (2021). Tomato SlPUB24 enhances resistance to Xanthomonas euvesicatoria pv. perforans race T3. Horticulture Research. 8(1). 30–30. 15 indexed citations

Ge, Meng, et al.. (2019). First report of Neospora caninum infection in pigs in China. Transboundary and Emerging Diseases. 67(1). 29–32. 15 indexed citations

Li, Runcheng, et al.. (2019). Seroprevalence and Risk Factors of Toxoplasma gondii Infection in Growth Stages of Pigs in Hunan Province, Subtropical China. Vector-Borne and Zoonotic Diseases. 19(12). 945–949. 10 indexed citations

10.

Yang, Taotao, et al.. (2017). First isolation and genetic characteristics of porcine sapeloviruses in Hunan, China. Archives of Virology. 162(6). 1589–1597. 9 indexed citations

11.

Ge, Meng, et al.. (2017). Construction of an HRP-streptavidin bound antigen and its application in an ELISA for porcine circovirus 2 antibodies. AMB Express. 7(1). 177–177. 8 indexed citations

12.

Yu, Xinglong, et al.. (2017). Isolation of nontuberculous mycobacteria from soil using Middlebrook 7H10 agar with increased malachite green concentration. AMB Express. 7(1). 69–69. 5 indexed citations

13.

Ge, Meng, et al.. (2014). An indirect ELISA established using the capsid protein of PCV2 for detection of antibodies to porcine circovirus 2. JOURNAL OF HUNAN AGRICULTURAL UNIVERSITY. 39(1). 63–68. 1 indexed citations

14.

Gong, Wenjie, Runcheng Li, Guo‐Hua Liu, et al.. (2013). Phylogenetic analysis using E2 gene of classical swine fever virus reveals a new subgenotype in China. Infection Genetics and Evolution. 17(77). 231–238. 35 indexed citations

15.

Ge, Meng, et al.. (2013). Epitope screening of the PCV2 Cap protein by use of a random peptide-displayed library and polyclonal antibody. Virus Research. 177(1). 103–107. 18 indexed citations

16.

Liu, Guo‐Hua, Runcheng Li, Jing Li, et al.. (2011). Seroprevalence of porcine cytomegalovirus and sapovirus infection in pigs in Hunan province, China. Archives of Virology. 157(3). 521–524. 11 indexed citations

17.

Deng, Zhibang, et al.. (2011). Viral distribution and lesions in Kunming mice experimentally infected with porcine circovirus type 2b. Veterinary Research Communications. 35(3). 181–192. 17 indexed citations

18.

Xiao, Chao‐Ting, Zhonghua Liu, Xinglong Yu, et al.. (2011). Identification of new defective interfering RNA species associated with porcine reproductive and respiratory syndrome virus infection. Virus Research. 158(1-2). 33–36. 7 indexed citations

19.

Li, Runcheng, et al.. (2010). Prokaryotic expression of outer membrane protein D15 gene of Haemophilus parasuis and analysis of immunogenicity of the expressed protein.. Chinese Veterinary Science. 40(2). 158–163.

20.

Li, Jing, et al.. (2010). Expression and antigenic analysis of the immunodominant region of porcine cytomegalovirus gB protein.. Zhongguo yufang shouyi xuebao. 32(2). 126–130. 1 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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