Jun Yuan

9.6k total citations · 1 hit paper
71 papers, 3.1k citations indexed

About

Jun Yuan is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Jun Yuan has authored 71 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 28 papers in Epidemiology and 10 papers in Agronomy and Crop Science. Recurrent topics in Jun Yuan's work include Influenza Virus Research Studies (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Respiratory viral infections research (9 papers). Jun Yuan is often cited by papers focused on Influenza Virus Research Studies (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Respiratory viral infections research (9 papers). Jun Yuan collaborates with scholars based in China, Hong Kong and United States. Jun Yuan's co-authors include Haijun Deng, Quanxin Long, Jieli Hu, Juan Chen, Ailong Huang, Kun Su, Qin Li, Wei Xü, Bo Wu and Jingfu Qiu and has published in prestigious journals such as Nature Medicine, Annals of Internal Medicine and The Journal of Immunology.

In The Last Decade

Jun Yuan

67 papers receiving 3.1k citations

Hit Papers

Clinical and immunological assessment of asymptomatic SAR... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yuan China 21 2.2k 744 418 378 323 71 3.1k
Müge Çevik United Kingdom 26 2.2k 1.0× 819 1.1× 533 1.3× 357 0.9× 356 1.1× 65 3.5k
Zhiliang Hu China 16 1.7k 0.8× 339 0.5× 342 0.8× 309 0.8× 124 0.4× 69 2.4k
Kwok-Yung Yuen Hong Kong 18 1.8k 0.8× 374 0.5× 265 0.6× 224 0.6× 649 2.0× 38 3.1k
Gavin Dabrera United Kingdom 17 2.2k 1.0× 741 1.0× 576 1.4× 227 0.6× 117 0.4× 61 3.2k
Jiahai Lu China 28 1.9k 0.9× 341 0.5× 626 1.5× 274 0.7× 200 0.6× 130 3.4k
Siddharth Sridhar Hong Kong 31 2.3k 1.1× 533 0.7× 701 1.7× 316 0.8× 796 2.5× 112 4.3k
KH Chan Hong Kong 9 3.1k 1.4× 553 0.7× 1.1k 2.6× 547 1.4× 330 1.0× 12 4.2k
Zhicong Yang China 28 1.7k 0.8× 685 0.9× 218 0.5× 136 0.4× 546 1.7× 90 3.7k
Philip H. Li China 20 2.3k 1.1× 462 0.6× 440 1.1× 202 0.5× 142 0.4× 149 4.1k
Yae‐Jean Kim South Korea 26 1.6k 0.7× 290 0.4× 875 2.1× 247 0.7× 336 1.0× 151 3.0k

Countries citing papers authored by Jun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yuan. A scholar is included among the top collaborators of Jun Yuan 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 Jun Yuan. Jun Yuan 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.
Yu, Bing, Xiaofeng Liang, Guanghua Wan, et al.. (2025). Trend analysis and cross nations inequality analysis of infectious skin diseases from 1990 to 2021. Archives of Dermatological Research. 317(1). 203–203.
3.
Jia, Xiangyu, Jia He, Qin Li, et al.. (2024). Impact of COVID-19 on temporal trends and health risks of urinary metal concentrations among residents of Guangzhou, China. Environmental Research. 261. 119705–119705. 2 indexed citations
5.
Liu, Hongyan, Chengbin Wu, Yu Zhao, et al.. (2023). Exploring health literacy in patients with chronic diseases in Chongqing, China: a cross-sectional study. BMJ Open. 13(7). e064609–e064609. 6 indexed citations
6.
Ma, Xiaowei, Keyi Wu, Yongguang Li, et al.. (2022). Contact tracing period and epidemiological characteristics of an outbreak of the SARS-CoV-2 Delta variant in Guangzhou. International Journal of Infectious Diseases. 117. 18–23. 9 indexed citations
7.
Kang, Min, Hualei Xin, Jun Yuan, et al.. (2022). Transmission dynamics and epidemiological characteristics of SARS-CoV-2 Delta variant infections in Guangdong, China, May to June 2021. Eurosurveillance. 27(10). 66 indexed citations
8.
Deng, Yanhong, Lishuo Shi, Jianxia Li, et al.. (2021). The Trends of Psychological Status of People Entering from High-Risk Areas of COVID-19 Coronavirus During the Quarantine in Dedicated Hotels: A Longitudinal Survey Study from Guangzhou, China. Risk Management and Healthcare Policy. Volume 14. 5005–5014. 2 indexed citations
9.
Liu, Jie, Jingwen Liu, Zhicong Yang, et al.. (2021). Duration of SARS-CoV-2 positive in quarantine room environments: A perspective analysis. International Journal of Infectious Diseases. 105. 68–74. 20 indexed citations
10.
He, Rong, et al.. (2021). Development and utility of a close contact information management system for the COVID-19 pandemic. BMC Public Health. 21(1). 2248–2248. 2 indexed citations
11.
Xie, Chaojun, Hongjun Zhao, Kuibiao Li, et al.. (2020). The evidence of indirect transmission of SARS-CoV-2 reported in Guangzhou, China. BMC Public Health. 20(1). 1202–1202. 91 indexed citations
12.
Long, Quanxin, Qin Li, Haijun Deng, et al.. (2020). Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nature Medicine. 26(8). 1200–1204. 1695 indexed citations breakdown →
13.
Yuan, Jun, Jie Shi, Xiao Zhang, et al.. (2020). Coronavirus disease-2019 (COVID-19) infection in a 3-month-old infant: Clinical features, treatment and probable route of transmission. IDCases. 22. e00937–e00937. 2 indexed citations
14.
Fang, Li-Qun, Jun Yuan, Natalie E. Dean, et al.. (2020). Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study. The Lancet Infectious Diseases. 20(10). 1141–1150. 301 indexed citations
15.
Wu, Jianyong, Eric H. Y. Lau, Jun Yuan, et al.. (2019). Transmission risk of avian influenza virus along poultry supply chains in Guangdong, China. Journal of Infection. 79(1). 43–48. 19 indexed citations
16.
Xie, Chaojun, Wenzhe Su, Kuibiao Li, et al.. (2016). [Effect of supply of fresh poultry products on reducing environment contamination of avian influenza virus in markets].. PubMed. 37(3). 353–7. 2 indexed citations
17.
Liao, Qiuyan, Jun Yuan, Eric H. Y. Lau, et al.. (2015). Live Bird Exposure among the General Public, Guangzhou, China, May 2013. PLoS ONE. 10(12). e0143582–e0143582. 7 indexed citations
18.
Li, Kuibiao, Lei Luo, Jun Yuan, et al.. (2014). Detection of Avian Influenza A(H7N9) Virus from Live Poultry Markets in Guangzhou, China: A Surveillance Report. PLoS ONE. 9(9). e107266–e107266. 35 indexed citations
19.
Wang, Ming, Jun Yuan, Tiegang Li, et al.. (2011). Antibody Dynamics of 2009 Influenza A (H1N1) Virus in Infected Patients and Vaccinated People in China. PLoS ONE. 6(2). e16809–e16809. 38 indexed citations
20.
Chen, Jiandong, Jun Yuan, Zhicong Yang, et al.. (2010). Investigation of First Hospital Infection Event of H1N1 Influenza in Mainland. Zhongguo yiyuan ganranxue zazhi. 20(2). 177–179. 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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