Mengda Liu

751 total citations
36 papers, 542 citations indexed

About

Mengda Liu is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Mengda Liu has authored 36 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 11 papers in Infectious Diseases and 10 papers in Animal Science and Zoology. Recurrent topics in Mengda Liu's work include Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (7 papers) and Virus-based gene therapy research (7 papers). Mengda Liu is often cited by papers focused on Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (7 papers) and Virus-based gene therapy research (7 papers). Mengda Liu collaborates with scholars based in China, Italy and Germany. Mengda Liu's co-authors include Fangkun Wang, Sidang Liu, Lanping Yu, Zifeng Han, Yingli Shang, Chenglian Feng, Zixuan Li, Peng Wang, Yan Li and Shuhong Sun and has published in prestigious journals such as PLoS ONE, Environmental Pollution and Chemosphere.

In The Last Decade

Mengda Liu

33 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengda Liu China 15 185 166 150 97 91 36 542
Andrea Laconi Italy 13 72 0.4× 209 1.3× 188 1.3× 63 0.6× 52 0.6× 38 433
Jahangir Alam Bangladesh 17 218 1.2× 124 0.7× 145 1.0× 165 1.7× 151 1.7× 61 731
Peck Toung Ooi Malaysia 16 68 0.4× 253 1.5× 142 0.9× 49 0.5× 50 0.5× 56 686
Emdadul Haque Chowdhury Bangladesh 16 288 1.6× 216 1.3× 151 1.0× 51 0.5× 171 1.9× 43 590
Øystein Angen Denmark 21 57 0.3× 361 2.2× 119 0.8× 86 0.9× 106 1.2× 45 901
Nelson Morés Brazil 13 79 0.4× 121 0.7× 207 1.4× 30 0.3× 81 0.9× 72 480
Zhanqin Zhao China 14 60 0.3× 175 1.1× 180 1.2× 61 0.6× 18 0.2× 28 600
Eduardo de Freitas Costa Brazil 12 52 0.3× 74 0.4× 109 0.7× 55 0.6× 116 1.3× 51 449
Anja Müller Germany 15 31 0.2× 105 0.6× 84 0.6× 113 1.2× 208 2.3× 41 637
Noriko Goji Canada 15 98 0.5× 277 1.7× 37 0.2× 106 1.1× 48 0.5× 33 728

Countries citing papers authored by Mengda Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mengda Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengda Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengda Liu. A scholar is included among the top collaborators of Mengda 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 Mengda Liu. Mengda 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
1.
Chen, Siqi, Mengda Liu, Yanfang Li, et al.. (2025). High-Throughput Sequencing of Nontuberculous Mycobacterial Flora and Mycobacterium abscessus in Cattle. Veterinary Sciences. 12(3). 275–275.
2.
Wu, Yao, Xin Yan, Xiaohan Guo, et al.. (2025). Evaluation of twin-arginine translocation substrate proteins as potential antigen candidates for serodiagnosis of brucellosis. Frontiers in Veterinary Science. 12. 1398983–1398983. 1 indexed citations
3.
Guo, Xiaohan, Yu Guo, Yao Wu, et al.. (2024). Production and evaluation of anti-BP26 monoclonal antibodies for the serological detection of animal brucellosis. Frontiers in Veterinary Science. 11. 1389728–1389728. 2 indexed citations
4.
Liu, Mengda, Xiangxiang Sun, Yongxia Liu, et al.. (2024). Development and evaluation of a triplex droplet digital PCR method for differentiation of M. tuberculosis, M. bovis and BCG. Frontiers in Microbiology. 15. 1397792–1397792.
5.
Lyu, Jinze, et al.. (2023). Construction of triphase interface for catalytic ozonation of polluted water. Chemosphere. 339. 139545–139545. 6 indexed citations
6.
Liu, Cong, Chenglian Feng, Peng Wang, et al.. (2023). Ecological risk under the dual threat of heavy metals and antibiotic resistant Escherichia coli in swine-farming wastewater in Shandong Province, China. Environmental Pollution. 319. 120998–120998. 31 indexed citations
7.
Li, Peixun, et al.. (2023). Florfenicol can inhibit chick growth and lead to immunosuppression1. Journal of Integrative Agriculture. 1 indexed citations
8.
Liu, Mengda, Jianjun Li, Yan Li, et al.. (2022). Comparison of BP26, Omp25 and Omp31 and a Multiepitope-Based Fusion Protein in the Serological Detection of Canine Brucellosis. Infection and Drug Resistance. Volume 15. 5301–5308. 8 indexed citations
9.
Li, Zixuan, Xin Li, Peng Wang, et al.. (2022). Prevalence and antimicrobial susceptibility profiles of ESBL-producing Klebsiella Pneumoniae from broiler chicken farms in Shandong Province, China. Poultry Science. 101(9). 102002–102002. 22 indexed citations
10.
Li, Yan, et al.. (2021). Excessive copper in feed not merely undermines animal health but affects food safety. Journal of Veterinary Science. 22(3). e31–e31. 3 indexed citations
11.
Liu, Mengda, et al.. (2021). Epidemiological investigation of porcine circovirus type 2 and its coinfection rate in Shandong province in China from 2015 to 2018. BMC Veterinary Research. 17(1). 17–17. 36 indexed citations
12.
Han, Zifeng, et al.. (2020). Epidemiological investigation of porcine pseudorabies virus and its coinfection rate in Shandong Province in China from 2015 to 2018. Journal of Veterinary Science. 21(3). e36–e36. 25 indexed citations
13.
Zhou, Han, et al.. (2020). Prevalence of Porcine Pseudorabies Virus and Its Coinfection Rate in Heilongjiang Province in China from 2013 to 2018. Viral Immunology. 33(8). 550–554. 23 indexed citations
14.
Liu, Mengda, Xiyue Zhang, Ge Zhang, et al.. (2020). First identification of a Brucella abortus biovar 4 strain from yak in Tibet, China. Veterinary Microbiology. 247. 108751–108751. 7 indexed citations
15.
Liu, Mengda, Peng Wang, Peng Liu, et al.. (2020). Characteristics and Epidemiological Investigation of Paratuberculosis in Dairy Cattle in Tai’an, China. BioMed Research International. 2020(1). 3896754–3896754. 12 indexed citations
16.
Liu, Cong, Peng Wang, Yu Dai, et al.. (2020). Longitudinal monitoring of multidrug resistance in Escherichia coli on broiler chicken fattening farms in Shandong, China. Poultry Science. 100(3). 100887–100887. 27 indexed citations
17.
Zhang, Huixia, et al.. (2020). Detection of p53 mutation and serum monitoring alert caused by Marek’s disease virus in poultry. BMC Veterinary Research. 16(1). 303–303. 2 indexed citations
18.
Yu, Lanping, Yu Dai, Peng Wang, et al.. (2019). Prevalence and characteristics of multidrug-resistant mcr-1-positive Escherichia coli isolates from broiler chickens in Tai'an, China. Poultry Science. 99(2). 1117–1123. 37 indexed citations
19.
Li, Yue, Mengda Liu, Qinqin Sun, et al.. (2019). Genotypic evolution and epidemiological characteristics of H9N2 influenza virus in Shandong Province, China. Poultry Science. 98(9). 3488–3495. 13 indexed citations
20.
Fu, Guanghua, Mengda Liu, Wenshu Zeng, et al.. (2010). Establishment of a multiplex RT-PCR assay to detect different lineages of swine H1 and H3 influenza A viruses. Virus Genes. 41(2). 236–240. 10 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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