Ke Dai

774 total citations
13 papers, 279 citations indexed

About

Ke Dai is a scholar working on Infectious Diseases, Global and Planetary Change and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ke Dai has authored 13 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Global and Planetary Change and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ke Dai's work include Viral Infections and Vectors (10 papers), Fire effects on ecosystems (7 papers) and Mosquito-borne diseases and control (5 papers). Ke Dai is often cited by papers focused on Viral Infections and Vectors (10 papers), Fire effects on ecosystems (7 papers) and Mosquito-borne diseases and control (5 papers). Ke Dai collaborates with scholars based in China, Belarus and United States. Ke Dai's co-authors include Wei Liu, Xiao‐Ai Zhang, Yang Yang, Xin‐Lou Li, Li‐Qun Fang, Qing‐Bin Lu, Pan‐He Zhang, Hao Li, Yuanyuan Hu and Guoping Zhao and has published in prestigious journals such as Clinical Infectious Diseases, PLoS neglected tropical diseases and Infection Genetics and Evolution.

In The Last Decade

Ke Dai

13 papers receiving 276 citations

Peers

Ke Dai
Ke Dai
Citations per year, relative to Ke Dai Ke Dai (= 1×) peers Faxian Zhan

Countries citing papers authored by Ke Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ke Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Dai

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

All Works

13 of 13 papers shown
1.
Liu, Wanshuang, Ke Dai, Tao Wang, et al.. (2022). Severe fever with thrombocytopenia syndrome incidence could be associated with ecotone between forest and cultivated land in rural settings of central China. Ticks and Tick-borne Diseases. 14(2). 102085–102085. 10 indexed citations
2.
Yuan, Chun, Lan Zhang, Yuna Wang, et al.. (2021). Severe fever with thrombocytopenia syndrome with re-infection in China: a case report. Infectious Diseases of Poverty. 10(1). 90–90. 5 indexed citations
3.
Ye, Xiaolei, Ke Dai, Qing‐Bin Lu, et al.. (2021). Infection with severe fever with thrombocytopenia virus in healthy population: a cohort study in a high endemic region, China. Infectious Diseases of Poverty. 10(1). 133–133. 5 indexed citations
4.
Li, Xiaokun, Ke Dai, Zhen‐Dong Yang, et al.. (2020). Correlation between thrombocytopenia and host response in severe fever with thrombocytopenia syndrome. PLoS neglected tropical diseases. 14(10). e0008801–e0008801. 16 indexed citations
5.
Chen, Jinjin, Xiao‐Ai Zhang, Hang Fan, et al.. (2020). Distribution and characteristics of Beilong virus among wild rodents and shrews in China. Infection Genetics and Evolution. 85. 104454–104454. 9 indexed citations
6.
Wang, Zhibo, Ren Luo, Qing‐Bin Lu, et al.. (2020). The Impact of Weather and Air Pollution on Viral Infection and Disease Outcome Among Pediatric Pneumonia Patients in Chongqing, China, from 2009 to 2018: A Prospective Observational Study. Clinical Infectious Diseases. 73(2). e513–e522. 14 indexed citations
7.
Dai, Ke, Guoping Zhao, Xin‐Lou Li, et al.. (2020). Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods. Emerging Microbes & Infections. 9(1). 817–826. 51 indexed citations
8.
Liu, Ming‐Jin, Xiang Ren, Qing‐Bin Lu, et al.. (2020). Epidemiology and Ecology of Severe Fever With Thrombocytopenia Syndrome in China, 2010‒2018. Clinical Infectious Diseases. 73(11). e3851–e3858. 87 indexed citations
9.
Hu, Yuanyuan, Lu Zhuang, Kun Liu, et al.. (2020). Role of three tick species in the maintenance and transmission of Severe Fever with Thrombocytopenia Syndrome Virus. PLoS neglected tropical diseases. 14(6). e0008368–e0008368. 50 indexed citations
10.
Zhang, Shao‐Fei, Zhen‐Dong Yang, Zhibo Wang, et al.. (2019). Preexisting chronic conditions for fatal outcome among SFTS patients: An observational Cohort Study. PLoS neglected tropical diseases. 13(5). e0007434–e0007434. 21 indexed citations
11.
Wang, Zhibo, Ren Luo, Qing‐Bin Lu, et al.. (2019). Environmental Factors But Not Viral Etiologies Affect the Outcome of Hospitalized Children with Pneumonia, 2009-2018. SSRN Electronic Journal. 1 indexed citations
12.
Lu, Qing‐Bin, Hao Li, Fachun Jiang, et al.. (2019). The differential characteristics between severe fever with thrombocytopenia syndrome and hemorrhagic fever with renal syndrome in the endemic regions. Open Forum Infectious Diseases. 6(12). ofz477–ofz477. 9 indexed citations
13.
Liu, Yonggang, et al.. (2013). [Establishment of Schatzker classification digital models of tibial plateau fractures and its application on virtual surgery].. PubMed. 93(31). 2478–82. 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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