Yajuan Wang

2.3k total citations
103 papers, 1.1k citations indexed

About

Yajuan Wang is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yajuan Wang has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 18 papers in Molecular Biology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yajuan Wang's work include Neonatal and Maternal Infections (12 papers), Bacterial Infections and Vaccines (12 papers) and Pneumonia and Respiratory Infections (12 papers). Yajuan Wang is often cited by papers focused on Neonatal and Maternal Infections (12 papers), Bacterial Infections and Vaccines (12 papers) and Pneumonia and Respiratory Infections (12 papers). Yajuan Wang collaborates with scholars based in China, Australia and United Kingdom. Yajuan Wang's co-authors include Yijun Ding, Kaihu Yao, Wei Gao, Yonghong Yang, Yingfen Hsia, Jinjing Zhang, Paul T. Heath, Fanrong Kong, Jianqiang Ye and Mike Sharland and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yajuan Wang

92 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajuan Wang China 19 292 246 207 149 121 103 1.1k
М. Marchetti Italy 20 330 1.1× 405 1.6× 364 1.8× 67 0.4× 129 1.1× 54 1.4k
Maria Teresa Mascellino Italy 20 283 1.0× 328 1.3× 246 1.2× 61 0.4× 78 0.6× 75 1.2k
Clementina Cocuzza Italy 24 906 3.1× 248 1.0× 389 1.9× 156 1.0× 152 1.3× 107 2.0k
Hylemariam Mihiretie Mengist Ethiopia 17 385 1.3× 417 1.7× 262 1.3× 68 0.5× 68 0.6× 36 1.4k
Mamie Hui Hong Kong 29 814 2.8× 740 3.0× 626 3.0× 144 1.0× 225 1.9× 76 2.3k
Stephanie L. Mitchell United States 13 340 1.2× 296 1.2× 179 0.9× 87 0.6× 168 1.4× 32 1.1k
Marco Cavaleri Netherlands 16 164 0.6× 421 1.7× 142 0.7× 183 1.2× 69 0.6× 38 823
Neil E. Klutman United States 10 157 0.5× 267 1.1× 135 0.7× 92 0.6× 80 0.7× 14 823
Rory M. Watt Hong Kong 30 204 0.7× 669 2.7× 1.2k 5.7× 139 0.9× 64 0.5× 67 2.6k
Dorothea Orth‐Höller Austria 27 352 1.2× 841 3.4× 404 2.0× 142 1.0× 71 0.6× 83 2.3k

Countries citing papers authored by Yajuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yajuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yajuan Wang. A scholar is included among the top collaborators of Yajuan Wang 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 Yajuan Wang. Yajuan Wang 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, Ying, Shengpei Wang, Chi Wang, et al.. (2025). Establishment of a Machine Learning‐Based Prediction Model for Short‐Term Adverse Prognosis in Neonatal Bacterial Meningitis. SHILAP Revista de lepidopterología. 3(3). 292–302.
2.
Wang, Yajuan, et al.. (2025). Study on the abscission mechanical model of the peach fruit-branch system based on a mixed-mode cohesive zone model and finite element method. Computers and Electronics in Agriculture. 231. 109965–109965. 2 indexed citations
3.
Chen, Ying, Shengpei Wang, Jing Wu, et al.. (2025). Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis. Jornal de Pediatria. 102(1). 101472–101472.
4.
Liu, Xilei, Yalong Gao, Lei Li, et al.. (2025). Glioblastoma Cells Express and Secrete Alternatively Spliced Transcripts of Coagulation Factor X. Biomedicines. 13(3). 576–576.
5.
Wang, Min, Yangen Xie, Yichi Zhang, et al.. (2025). Promoted Electrochemical CO 2 Methanation over Ultrastable Cu(II)-V O Pair Sites in Cu-CeO 2 Catalyst: Water Activation and Intermediate Adsorption Tuning. Journal of the American Chemical Society. 147(49). 44781–44790.
7.
Xuan, Zihua, Hongyan Wu, Shuting Zhang, et al.. (2024). Platycodon grandiflorus decoction attenuates lipopolysaccharide-induced acute lung injury via the PI3K/Akt/NF-κB pathway. Journal of Functional Foods. 121. 106448–106448.
8.
Zhao, Wenqian, Bin Zhao, Baoying Li, et al.. (2024). The regulation of MFG‐E8 on the mitophagy in diabetic sarcopenia via the HSPA1L‐Parkin pathway and the effect of D‐pinitol. Journal of Cachexia Sarcopenia and Muscle. 15(3). 934–948. 9 indexed citations
9.
Liu, Xueli, et al.. (2024). Long-term stability and immunogenicity of lipid nanoparticle COVID-19 mRNA vaccine is affected by particle size. Human Vaccines & Immunotherapeutics. 20(1). 2342592–2342592. 17 indexed citations
10.
Mo, Dan, Ying He, Shengli Meng, et al.. (2023). A novel mRNA rabies vaccine as a promising candidate for rabies post-exposure prophylaxis protects animals from different rabies viruses. Microbial Pathogenesis. 185. 106425–106425. 9 indexed citations
11.
Jia, Hao, Nan Li, Chunmei Tang, et al.. (2023). Efficient Photolytic Halogenation and Oxidation of Unactivated Alkyl sp3 C—H Bonds with Iodine(III). Chinese Journal of Chemistry. 42(5). 505–510. 3 indexed citations
12.
Wang, Fei, Zhimin Wan, Yajuan Wang, et al.. (2021). Identification of Hemagglutinin Mutations Caused by Neuraminidase Antibody Pressure. Microbiology Spectrum. 9(3). e0143921–e0143921. 7 indexed citations
13.
Wang, Fei, Yajuan Wang, Zhimin Wan, et al.. (2020). Generation of a recombinant chickenized monoclonal antibody against the neuraminidase of H9N2 avian influenza virus. AMB Express. 10(1). 151–151. 8 indexed citations
14.
Meng, Qinghong, Lijun Li, Wei Shi, et al.. (2018). Rubella seroprevalence among pregnant women in Beijing, China. BMC Infectious Diseases. 18(1). 130–130. 12 indexed citations
15.
Wang, Yajuan, et al.. (2017). Natural closing time of patent foramen ovale in newborns. Zhonghua weichan yixue zazhi. 20(3). 219–222. 1 indexed citations
16.
Wang, Yajuan, et al.. (2016). Application of autonomous copper wire-ECG positioning technology on PICC in very low birth weight infants. Zhonghua xiandai huli zazhi. 22(23). 3397–3400.
17.
Yang, Zixin & Yajuan Wang. (2014). Clinical features and CYBB gene mutation analysis of chronic granulomatous disease in 6 neonate infants. Zhonghua shiyong erke linchuang zazhi. 29(20). 1556–1559. 1 indexed citations
18.
Wang, Yajuan. (2013). Study on Coupling Coordination Degree of China's Energy,Economy and Environment Systems——Based on PCA Method. Journal of North China Electric Power University. 1 indexed citations
19.
Wang, Yajuan, et al.. (2010). Use of multiplex polymerase chain reaction and reverse line blot hybridization for identification of respiratory viruses. Shandong yiyao. 50(52). 22–25. 1 indexed citations
20.
Wang, Yajuan. (2003). Recycling System of Energy for Trial Run of Diesel Engines.

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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