Kai Chu

4.1k total citations · 2 hit papers
49 papers, 1.8k citations indexed

About

Kai Chu is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kai Chu has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 19 papers in Epidemiology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kai Chu's work include Viral gastroenteritis research and epidemiology (13 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Viral Infections and Immunology Research (11 papers). Kai Chu is often cited by papers focused on Viral gastroenteritis research and epidemiology (13 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Viral Infections and Immunology Research (11 papers). Kai Chu collaborates with scholars based in China, United States and Taiwan. Kai Chu's co-authors include Fengcai Zhu, Jingxin Li, Hongxing Pan, Weidong Yin, Gang Zeng, Changgui Li, Rong Tang, Yuansheng Hu, Weixiao Han and Yan Song and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Kai Chu

45 papers receiving 1.8k citations

Hit Papers

Safety, tolerability, and immunogenicity of an inactivate... 2020 2026 2022 2024 2020 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Chu China 16 1.4k 424 277 249 218 49 1.8k
Weidong Yin China 14 1.8k 1.3× 498 1.2× 299 1.1× 642 2.6× 442 2.0× 30 2.4k
Nasamon Wanlapakorn Thailand 21 829 0.6× 213 0.5× 509 1.8× 270 1.1× 148 0.7× 106 1.4k
Yuansheng Hu China 12 1.0k 0.7× 326 0.8× 187 0.7× 144 0.6× 255 1.2× 27 1.4k
Penny M. Heaton United States 25 1.3k 0.9× 160 0.4× 382 1.4× 655 2.6× 118 0.5× 41 1.7k
Edward P K Parker United Kingdom 14 683 0.5× 143 0.3× 164 0.6× 264 1.1× 209 1.0× 48 977
Yoon‐Seok Chung South Korea 16 1.1k 0.8× 59 0.1× 392 1.4× 107 0.4× 317 1.5× 69 1.9k
Irja Davidkin Finland 25 890 0.6× 670 1.6× 1.4k 4.9× 93 0.4× 60 0.3× 43 2.0k
Steven G. F. Wassilak United States 28 1.2k 0.9× 398 0.9× 1.2k 4.3× 1.0k 4.1× 92 0.4× 50 2.5k
Lin Cui Singapore 21 1.0k 0.7× 128 0.3× 773 2.8× 50 0.2× 282 1.3× 49 2.0k
Steven G.F. Wassilak United States 33 1.7k 1.2× 500 1.2× 1.1k 4.1× 1.4k 5.8× 109 0.5× 73 3.0k

Countries citing papers authored by Kai Chu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Chu. A scholar is included among the top collaborators of Kai Chu 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 Kai Chu. Kai Chu 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
2.
Han, Xu, Hongxing Pan, Pengfei Jin, et al.. (2024). A head-to-head comparison of humoral and cellular immune responses of five COVID-19 vaccines in adults in China. Frontiers in Immunology. 15. 1455730–1455730. 1 indexed citations
3.
Hu, Wenjing, Yang Wang, Kai Chu, et al.. (2024). Nasal Staphylococcus aureus Carriage and Antimicrobial Resistance Profiles Among Community-Dwelling Adults in Jiangsu, China. Infectious Diseases and Therapy. 13(6). 1215–1233. 1 indexed citations
4.
Hu, Jialei, Yueyue Liu, Shuo Liu, et al.. (2023). Safety and immunogenicity of a modified Omicron-adapted inactivated vaccine in healthy adults: a randomized, double-blind, active-controlled Phase III clinical trial. Frontiers in Immunology. 14. 1241153–1241153. 4 indexed citations
5.
Chu, Kai, Yuemei Hu, Hongxing Pan, et al.. (2023). A randomized, open-label, phase 3 study evaluating safety and immunogenicity of 13-valent pneumococcal conjugate vaccine in Chinese infants and children under 6 years of age. Human Vaccines & Immunotherapeutics. 19(2). 2235926–2235926. 2 indexed citations
6.
Liang, Zihao, Xudong Zheng, Yuan Wang, Kai Chu, & Yanan Gao. (2023). Using system biology and bioinformatics to identify the influences of COVID-19 co-infection with influenza virus on COPD. Functional & Integrative Genomics. 23(2). 175–175. 2 indexed citations
7.
Xin, Qianqian, Qianhui Wu, Xinhua Chen, et al.. (2022). Six-month follow-up of a booster dose of CoronaVac in two single-centre phase 2 clinical trials. Nature Communications. 13(1). 3100–3100. 18 indexed citations
8.
Liu, Jiankai, Baoying Huang, Yafei Liu, et al.. (2021). Immunogenicity and Safety of a 3-Dose Regimen of a SARS-CoV-2 Inactivated Vaccine in Adults: A Randomized, Double-Blind, Placebo-Controlled Phase 2 Trial. The Journal of Infectious Diseases. 225(10). 1701–1709. 10 indexed citations
9.
Zeng, Gang, Qianhui Wu, Hongxing Pan, et al.. (2021). Immunogenicity and safety of a third dose of CoronaVac, and immune persistence of a two-dose schedule, in healthy adults: interim results from two single-centre, double-blind, randomised, placebo-controlled phase 2 clinical trials. The Lancet Infectious Diseases. 22(4). 483–495. 173 indexed citations breakdown →
11.
Wu, Hannah, Zhiqiang Fu, Lu Ke, et al.. (2017). Vaccination with recombinant paramyosin in Montanide ISA206 protects against Schistosoma japonicum infection in water buffalo. Vaccine. 35(26). 3409–3415. 14 indexed citations
12.
Wei, Mingwei, Fanyue Meng, Shiyuan Wang, et al.. (2016). 2-Year Efficacy, Immunogenicity, and Safety of Vigoo Enterovirus 71 Vaccine in Healthy Chinese Children: A Randomized Open-Label Study. The Journal of Infectious Diseases. 215(1). 56–63. 51 indexed citations
13.
Liu, Wenyu, Feixue Wei, Jie Tang, et al.. (2016). [Detection of neutralizing antibodies and DNA of human papillomavirus 16, 18 in women aged 18-45 years in Funing, Jiangsu province].. PubMed. 37(3). 406–9. 1 indexed citations
15.
17.
Hu, Yuemei, Shoujie Huang, Kai Chu, et al.. (2013). Safety of anEscherichia coli-expressed bivalent human papillomavirus (types 16 and 18) L1 virus-like particle vaccine. Human Vaccines & Immunotherapeutics. 10(2). 469–475. 27 indexed citations
18.
Zhu, Fengcai, Zhenglun Liang, Fanyue Meng, et al.. (2012). Retrospective Study of the Incidence of HFMD and Seroepidemiology of Antibodies against EV71 and CoxA16 in Prenatal Women and Their Infants. PLoS ONE. 7(5). e37206–e37206. 55 indexed citations
19.
Meng, Rui, et al.. (2009). The epidemiological study on cryptosporidiosis in outpatients of Nanjing children's hospital.. Journal of Tropical Medicine. 9(4). 382–391. 2 indexed citations
20.
Liu, Yun, et al.. (2009). Sensitivity of SYBR Green real-time copro-PCR on detection of Schistosoma japonicum infection.. Journal of Pathogen Biology. 4(6). 432–435. 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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