Kaihu Yao

2.9k total citations
144 papers, 2.0k citations indexed

About

Kaihu Yao is a scholar working on Epidemiology, Microbiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kaihu Yao has authored 144 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Epidemiology, 75 papers in Microbiology and 41 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kaihu Yao's work include Pneumonia and Respiratory Infections (82 papers), Bacterial Infections and Vaccines (74 papers) and Streptococcal Infections and Treatments (37 papers). Kaihu Yao is often cited by papers focused on Pneumonia and Respiratory Infections (82 papers), Bacterial Infections and Vaccines (74 papers) and Streptococcal Infections and Treatments (37 papers). Kaihu Yao collaborates with scholars based in China, United States and Hong Kong. Kaihu Yao's co-authors include Yonghong Yang, Wei Shi, Sangjie Yu, Wei Gao, Xuzhuang Shen, Xiang Ma, Yajuan Wang, Yuan Lin, Uffe B. Skov Sørensen and Yuejie Zheng and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Kaihu Yao

136 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaihu Yao China 27 1.3k 729 548 537 318 144 2.0k
Gabriela Echániz-Avilés Mexico 24 1.1k 0.9× 571 0.8× 579 1.1× 571 1.1× 232 0.7× 89 1.9k
Raúl Istúriz United States 28 1.3k 1.0× 310 0.4× 766 1.4× 376 0.7× 162 0.5× 77 2.4k
Walter Demczuk Canada 27 866 0.7× 1.1k 1.5× 276 0.5× 541 1.0× 183 0.6× 83 2.5k
Nurith Porat Israel 34 2.2k 1.7× 1.1k 1.4× 393 0.7× 679 1.3× 239 0.8× 89 3.2k
Olusegun O. Soge United States 30 512 0.4× 1.3k 1.8× 642 1.2× 258 0.5× 377 1.2× 86 2.3k
Jin Yang Baek South Korea 21 737 0.6× 339 0.5× 841 1.5× 217 0.4× 357 1.1× 78 1.8k
André Fleer Netherlands 29 1.4k 1.1× 293 0.4× 485 0.9× 648 1.2× 291 0.9× 51 2.5k
Kimiko Ubukata Japan 28 1.9k 1.5× 1.2k 1.7× 491 0.9× 472 0.9× 188 0.6× 81 2.6k
M. K. Lalitha India 22 1.2k 1.0× 532 0.7× 400 0.7× 264 0.5× 244 0.8× 66 2.0k
Vicky Cevallos United States 24 576 0.5× 517 0.7× 269 0.5× 570 1.1× 148 0.5× 50 2.1k

Countries citing papers authored by Kaihu Yao

Since Specialization
Citations

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

Fields of papers citing papers by Kaihu Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Kaihu Yao. A scholar is included among the top collaborators of Kaihu Yao 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 Kaihu Yao. Kaihu Yao 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.
2.
Yao, Kaihu, Xiao Li, Qinghan Li, et al.. (2024). Rapid and sensitive detection of nucleic acids using an RAA-CRISPR/Cas12b one-pot detection assay (Rcod). Talanta. 271. 125616–125616. 13 indexed citations
3.
Meng, Qinghong, Bingsong Wang, Qianqian Du, et al.. (2024). Seroprevalence of B. pertussis infection and the changes of specific antibody levels in health care workers during the first two years of COVID-19 in Wuhu, China. Vaccine. 42(23). 126239–126239. 2 indexed citations
4.
Jiang, Man, Xi Wang, Yonghong Yang, et al.. (2022). Clinical characteristics, antimicrobial resistance, and risk factors for mortality in paediatric invasive pneumococcal disease in Beijing, 2012–2017. BMC Infectious Diseases. 22(1). 338–338. 8 indexed citations
5.
Meng, Qinghong, et al.. (2019). The maternal antibody against diphtheria, tetanus and pertussis showed distinct regional difference in China. BMC Pediatrics. 19(1). 480–480. 9 indexed citations
6.
Zhang, Jiaosheng, Hongmei Wang, Kaihu Yao, et al.. (2019). Clinical characteristics, molecular epidemiology and antimicrobial susceptibility of pertussis among children in southern China. World Journal of Pediatrics. 16(2). 185–192. 19 indexed citations
7.
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
8.
9.
Dong, Fang, Ye Zhang, Kaihu Yao, et al.. (2017). Epidemiology of Carbapenem-Resistant Klebsiella pneumoniae Bloodstream Infections in a Chinese Children's Hospital: Predominance of New Delhi Metallo-β-Lactamase-1. Microbial Drug Resistance. 24(2). 154–160. 32 indexed citations
10.
Yao, Kaihu. (2017). Rediscovering pertussis in clinical practice. Zhonghua shiyong erke linchuang zazhi. 32(22). 1681–1684. 1 indexed citations
11.
Li, Jing, et al.. (2015). Serotype distribution and antibiotic resistance of Streptococcus pneumoniae in hospitalized children. Zhonghua jianyan yixue zazhi. 38(9). 622–626. 2 indexed citations
12.
Li, Wenting, Ning Xue, Ting Zeng, et al.. (2015). Clinical and molecular characteristics of invasive community-associated Staphylococcus aureus infections in Chinese neonates. Zhonghua shiyong erke linchuang zazhi. 30(22). 1692–1696. 1 indexed citations
13.
Gao, Wei, et al.. (2015). Analysis of serotype results of 94 streptococcus pneumoniae isolates with partial cpsA-cpsB serotype prediction system. Zhonghua shiyong erke linchuang zazhi. 30(12). 934–937. 1 indexed citations
14.
Yang, Ying, Kaihu Yao, Xiang Ma, et al.. (2015). Variation in Bordetella pertussis Susceptibility to Erythromycin and Virulence-Related Genotype Changes in China (1970-2014). PLoS ONE. 10(9). e0138941–e0138941. 60 indexed citations
15.
Wang, Ping, Jingjing Tong, Xiuhua Ma, et al.. (2015). Serotypes, Antibiotic Susceptibilities, and Multi-Locus Sequence Type Profiles of Streptococcus agalactiae Isolates Circulating in Beijing, China. PLoS ONE. 10(3). e0120035–e0120035. 76 indexed citations
16.
Ma, Xiang, Kaihu Yao, Yuejie Zheng, et al.. (2013). Characterization of erythromycin-resistant Streptococcus pneumoniae isolates causing invasive diseases in Chinese children. Chinese Medical Journal. 126(8). 1522–1527. 10 indexed citations
17.
Ma, Xiang, Kaihu Yao, Shaomei Yu, et al.. (2012). Genotype replacement within serotype 23FStreptococcus pneumoniaein Beijing, China: characterization of serotype 23F. Epidemiology and Infection. 141(8). 1690–1696. 16 indexed citations
18.
Zhou, Lin, Sangjie Yu, Wei Gao, et al.. (2011). Serotype distribution and antibiotic resistance of 140 pneumococcal isolates from pediatric patients with upper respiratory infections in Beijing, 2010. Vaccine. 29(44). 7704–7710. 38 indexed citations
19.
Li, Wenxiu, et al.. (2010). Assessment of contrast-enhanced ultrasonography in diagnosis and preoperative localization of insulinoma. European Journal of Radiology. 80(3). 675–680. 20 indexed citations
20.
Yao, Kaihu. (2007). History and progresses on the research of pertussis in China. The Journal of clinical Pediatrics.

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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