Shenggen Wu

404 total citations
12 papers, 55 citations indexed

About

Shenggen Wu is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Shenggen Wu has authored 12 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Modeling and Simulation. Recurrent topics in Shenggen Wu's work include COVID-19 epidemiological studies (4 papers), Mosquito-borne diseases and control (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Shenggen Wu is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Mosquito-borne diseases and control (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Shenggen Wu collaborates with scholars based in China, Taiwan and United States. Shenggen Wu's co-authors include Jianming Ou, Tianchen Zhang, Benhua Zhao, Li Luo, Shelan Liu, Peter Horby, Zhibin Xu, Chan Liu, Wenjing Ye and Chen Wu and has published in prestigious journals such as Scientific Reports, Diabetes Research and Clinical Practice and BMC Infectious Diseases.

In The Last Decade

Shenggen Wu

10 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenggen Wu China 5 31 16 16 15 13 12 55
Glorijoy Shi En Tan Singapore 7 45 1.5× 15 0.9× 15 0.9× 7 0.5× 12 0.9× 13 104
Juan Pablo Ramírez-Hinojosa Mexico 6 37 1.2× 5 0.3× 15 0.9× 17 1.1× 3 0.2× 13 59
Andrew Redfern South Africa 4 40 1.3× 8 0.5× 5 0.3× 14 0.9× 2 0.2× 21 89
José Sanz Moreno Spain 4 21 0.7× 7 0.4× 9 0.6× 11 0.7× 5 0.4× 15 49
Heidi L. Moline United States 6 40 1.3× 11 0.7× 17 1.1× 24 1.6× 4 0.3× 15 82
Karren Prost Canada 3 48 1.5× 6 0.4× 3 0.2× 20 1.3× 9 0.7× 5 84
Juliane Ankert Germany 5 19 0.6× 5 0.3× 7 0.4× 17 1.1× 10 0.8× 12 46
Gina Cuomo-Dannenburg United Kingdom 6 64 2.1× 4 0.3× 30 1.9× 21 1.4× 26 2.0× 9 111
Ulrika Marking Sweden 6 79 2.5× 12 0.8× 11 0.7× 9 0.6× 7 0.5× 10 96
Caroline Eisele United States 4 23 0.7× 7 0.4× 22 1.4× 18 1.2× 7 0.5× 18 84

Countries citing papers authored by Shenggen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shenggen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenggen Wu

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

All Works

12 of 12 papers shown
1.
He, Yingli, Zhifang Zhang, Shenggen Wu, et al.. (2025). When COVID-19 meets diabetes: A bibliometric analysis. Diabetes Research and Clinical Practice. 223. 112118–112118. 2 indexed citations
2.
3.
Zheng, Huiling, Shenggen Wu, Cailin Chen, et al.. (2024). Meta-analysis of hybrid immunity to mitigate the risk of Omicron variant reinfection. Frontiers in Public Health. 12. 1457266–1457266. 1 indexed citations
4.
Qi, Feifei, Xiaoying Wang, Yanhua Zhang, et al.. (2024). Study of the driving factors of the abnormal influenza A (H3N2) epidemic in 2022 and early predictions in Xiamen, China. BMC Infectious Diseases. 24(1). 1093–1093. 4 indexed citations
5.
Wu, Shenggen, Wenjing Ye, Zeyu Zhao, et al.. (2023). Impact of public health and social measures on contact dynamics during a SARS-CoV-2 Omicron variant outbreak in Quanzhou, China, March to April 2022. International Journal of Infectious Diseases. 131. 46–49. 5 indexed citations
6.
Guo, Zhinan, Weikang Liu, Xingchun Liu, et al.. (2023). Model-based risk assessment of dengue fever transmission in Xiamen City, China. Frontiers in Public Health. 11. 1079877–1079877. 5 indexed citations
7.
Zhao, Zeyu, Shenggen Wu, Wu Chen, et al.. (2023). Inactivated vaccine effectiveness against symptomatic COVID-19 in Fujian, China during the Omicron BA.2 outbreak. Frontiers in Public Health. 11. 1269194–1269194. 1 indexed citations
8.
Liu, Weikang, Zeyu Zhao, Chan Liu, et al.. (2021). Modelling the Emerging COVID-19 Epidemic and Estimating Intervention Effectiveness — Taiwan, China, 2021. China CDC Weekly. 3(34). 716–719. 9 indexed citations
9.
Wang, Qianli, Hui Jiang, Tianchen Zhang, et al.. (2020). Long-term clinical prognosis of human infections with avian influenza A(H7N9) viruses in China after hospitalization. EClinicalMedicine. 20. 100282–100282. 18 indexed citations
10.
Ou, Jianming, Chen Wu, Boping Wu, et al.. (2017). [Analysis on epidemiology and spatial-temporal clustering of human brucellosis in Fujian province, 2011-2016].. PubMed. 38(9). 1212–1217. 8 indexed citations
11.
Ma, Xiaojun, et al.. (2016). Dengue fever outbreak in a district of Fuzhou,Fujian,China,2015. 32(12). 1134. 1 indexed citations
12.

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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