Wanbing Liu

1.3k total citations · 1 hit paper
24 papers, 673 citations indexed

About

Wanbing Liu is a scholar working on Infectious Diseases, Genetics and Molecular Biology. According to data from OpenAlex, Wanbing Liu has authored 24 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Wanbing Liu's work include Yersinia bacterium, plague, ectoparasites research (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Vector-borne infectious diseases (5 papers). Wanbing Liu is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Vector-borne infectious diseases (5 papers). Wanbing Liu collaborates with scholars based in China, Belarus and Philippines. Wanbing Liu's co-authors include Shangen Zheng, Zhou Xiong, Yaqiong Zheng, Shi Tang, Yinjuan Ding, Guomei Kou, Lei Liu, Qiongshu Wang, Li Tan and Yubao Zhao and has published in prestigious journals such as Scientific Reports, Journal of Clinical Microbiology and Infection and Immunity.

In The Last Decade

Wanbing Liu

20 papers receiving 655 citations

Hit Papers

Evaluation of Nucleocapsid and Spike Protein-Based Enzyme... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanbing Liu China 10 463 165 138 69 61 24 673
Dipanwita Mitra United States 12 260 0.6× 136 0.8× 183 1.3× 46 0.7× 31 0.5× 28 623
Yutaro Yamaoka Japan 13 269 0.6× 126 0.8× 160 1.2× 151 2.2× 7 0.1× 33 647
Kaiming Tao United States 8 710 1.5× 55 0.3× 237 1.7× 15 0.2× 12 0.2× 13 863
Yongqi Yan China 10 239 0.5× 41 0.2× 98 0.7× 23 0.3× 15 0.2× 18 560
Vikash Verma India 14 214 0.5× 50 0.3× 267 1.9× 48 0.7× 5 0.1× 28 620
Qianlin Li China 11 181 0.4× 32 0.2× 97 0.7× 21 0.3× 20 0.3× 35 318
Jameel M. Abduljalil Yemen 10 111 0.2× 28 0.2× 85 0.6× 41 0.6× 18 0.3× 16 288
Malathi Mathiyazhakan India 10 189 0.4× 136 0.8× 93 0.7× 34 0.5× 7 0.1× 25 487
Takeshi Morita Japan 7 153 0.3× 109 0.7× 64 0.5× 156 2.3× 7 0.1× 7 420
Ziyan Liu China 9 151 0.3× 24 0.1× 136 1.0× 50 0.7× 52 0.9× 58 570

Countries citing papers authored by Wanbing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wanbing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanbing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wanbing Liu. A scholar is included among the top collaborators of Wanbing 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 Wanbing Liu. Wanbing 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.
Su, Jishuai, Wanbing Liu, Ruoping Zhao, et al.. (2025). Grassland soil seed bank responses to grazing exclusion: a global synthesis. Journal of Environmental Management. 397. 128338–128338.
2.
Wang, Aimin, et al.. (2025). CFD-based aerodynamic optimization of the fairing for a high-speed elevator. Scientific Reports. 15(1). 22243–22243.
4.
Shang, Shenglan, Wanbing Liu, Yangyang Cheng, et al.. (2024). Effect of aspirin on platelet-rich plasma of diabetes mellitus with lower extremity atherosclerosis. Future Science OA. 10(1). 2413827–2413827. 1 indexed citations
5.
Zhu, Zhu, Pingzhang Wang, Xiaodong Jia, et al.. (2023). B-Cell Receptor Features and Database Establishment in Recovered COVID-19 Patients by Combining 5'-RACE with PacBio Sequencing. Frontiers in Bioscience-Landmark. 28(2). 40–40. 1 indexed citations
6.
Cao, Jinde, et al.. (2023). Consensus of NMASs with MSTs subjected to DoS attacks under event-triggered control. Filomat. 37(17). 5567–5580. 4 indexed citations
7.
Liu, Wanbing, et al.. (2023). DELAYED CONSENSUS IN MEAN-SQUARE OF MASS UNDER MARKOV SWITCHING TOPOLOGIES AND BROWN NOISE. Journal of Applied Analysis & Computation. 14(1). 543–559. 2 indexed citations
9.
Liu, Lei, et al.. (2023). Transcriptional Regulation of hmsB, A Temperature-Dependent Small RNA, by RovM in Yersinia pestis Biovar Microtus. Current Microbiology. 80(5). 182–182. 5 indexed citations
10.
Liu, Wanbing, Dai Yimin, Wang Zhiheng, et al.. (2023). Synthesis of a novel hierarchical pillared Sep@Fe3O4/ZnAl-LDH composite for effective anionic dyes removal. Colloids and Surfaces A Physicochemical and Engineering Aspects. 663. 130921–130921. 33 indexed citations
11.
Zhu, Zhu, Yanqun Wang, Pingzhang Wang, et al.. (2022). A new strategy: identification of specific antibodies for neutralizing epitope on SARS-CoV-2 S protein by LC-MS/MS combined with immune repertoire. Molecular Biomedicine. 3(1). 20–20. 2 indexed citations
12.
Liu, Lei, Huiying Yang, Wanbing Liu, et al.. (2022). Nlp enhances biofilm formation by Yersinia pestis biovar microtus. Microbial Pathogenesis. 169. 105659–105659. 2 indexed citations
13.
Liu, Lei, et al.. (2022). The cyclic AMP receptor protein (CRP) controls expression of the ferric uptake regulator (Fur) in Yersinia pestis. Canadian Journal of Microbiology. 68(7). 501–506.
14.
Liu, Wanbing, Guomei Kou, Yaqiong Zheng, et al.. (2020). Clinical application of Chemiluminescence Microparticle Immunoassay for SARS-CoV-2 infection diagnosis. Journal of Clinical Virology. 130. 104576–104576. 16 indexed citations
15.
Zhang, Ping, Qi Gao, Wang Tang, et al.. (2020). Development and evaluation of a serological test for diagnosis of COVID-19 with selected recombinant spike proteins. European Journal of Clinical Microbiology & Infectious Diseases. 40(5). 921–928. 11 indexed citations
16.
Liu, Lei, Yaqiong Zheng, Liping Cai, et al.. (2020). Neutrophil‐to‐lymphocyte ratio, a critical predictor for assessment of disease severity in patients with COVID‐19. International Journal of Laboratory Hematology. 43(2). 329–335. 26 indexed citations
17.
Liu, Wanbing, Lei Liu, Guomei Kou, et al.. (2020). Evaluation of Nucleocapsid and Spike Protein-Based Enzyme-Linked Immunosorbent Assays for Detecting Antibodies against SARS-CoV-2. Journal of Clinical Microbiology. 58(6). 446 indexed citations breakdown →
18.
Xie, Wei, et al.. (2018). Method of T-Connection Line Parameter Estimation in Distribution Network Based on PMU And AMI. 28. 3330–3335. 4 indexed citations
19.
Yang, Huiying, Tong Wang, Tian Guang, et al.. (2016). Host transcriptomic responses to pneumonic plague reveal that Yersinia pestis inhibits both the initial adaptive and innate immune responses in mice. International Journal of Medical Microbiology. 307(1). 64–74. 11 indexed citations
20.
Zhou, Liang, Jian Deng, Yubao Zhao, et al.. (2009). Preparation and characterization of N–I co-doped nanocrystal anatase TiO2 with enhanced photocatalytic activity under visible-light irradiation. Materials Chemistry and Physics. 117(2-3). 522–527. 57 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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