Guangxue He

2.0k total citations · 2 hit papers
25 papers, 1.3k citations indexed

About

Guangxue He is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Guangxue He has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 14 papers in Epidemiology and 4 papers in Modeling and Simulation. Recurrent topics in Guangxue He's work include Tuberculosis Research and Epidemiology (13 papers), Pneumonia and Respiratory Infections (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). Guangxue He is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Pneumonia and Respiratory Infections (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). Guangxue He collaborates with scholars based in China, United States and Netherlands. Guangxue He's co-authors include Yanlin Zhao, Lixia Wang, Shengfen Wang, Daniel P. Chin, Yu Wang, Yu Pang, Xichao Ou, Bing Zhao, Yuanyuan Song and Hui Xia and has published in prestigious journals such as New England Journal of Medicine, The Lancet and PLoS ONE.

In The Last Decade

Guangxue He

24 papers receiving 1.2k citations

Hit Papers

National Survey of Drug-Resistant Tuberculosis in China 2012 2026 2016 2021 2012 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxue He China 12 961 821 407 86 79 25 1.3k
Shiming Cheng China 14 710 0.7× 633 0.8× 298 0.7× 74 0.9× 37 0.5× 42 1.1k
Farhana Amanullah Pakistan 17 780 0.8× 553 0.7× 249 0.6× 38 0.4× 88 1.1× 50 1.2k
Sreenivas Achuthan Nair India 19 1.1k 1.2× 772 0.9× 275 0.7× 151 1.8× 19 0.2× 61 1.4k
Chen‐Yuan Chiang Taiwan 26 1.3k 1.4× 1.1k 1.4× 698 1.7× 21 0.2× 139 1.8× 80 2.3k
Shiwen Jiang China 15 826 0.9× 634 0.8× 255 0.6× 109 1.3× 22 0.3× 30 1.1k
Nerges Mistry India 18 662 0.7× 526 0.6× 236 0.6× 61 0.7× 72 0.9× 70 978
Irene Ayakaka United States 19 805 0.8× 669 0.8× 204 0.5× 30 0.3× 52 0.7× 58 1.2k
D. A. Enarson France 22 1.0k 1.1× 774 0.9× 483 1.2× 51 0.6× 33 0.4× 48 1.4k

Countries citing papers authored by Guangxue He

Since Specialization
Citations

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

Fields of papers citing papers by Guangxue He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxue He

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxue He. A scholar is included among the top collaborators of Guangxue He 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 Guangxue He. Guangxue He 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.
Li, Zhuowei, et al.. (2024). Epidemiological Characteristics of Dengue Fever — China, 2005–2023. China CDC Weekly. 6(41). 1045–1048. 3 indexed citations
2.
Wang, Quan, Haican Liu, Yi Jiang, et al.. (2024). Identification of positively selected genes in Mycobacterium tuberculosis from southern Xinjiang Uygur autonomous region of China. Frontiers in Microbiology. 15. 1290227–1290227. 1 indexed citations
3.
Zhao, Fei, et al.. (2024). Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014–2021. Infectious Diseases of Poverty. 13(1). 34–34. 10 indexed citations
4.
5.
Han, Yajun, et al.. (2023). Epidemiological Characteristics of Notifiable Respiratory Infectious Diseases in Mainland China from 2010 to 2018. International Journal of Environmental Research and Public Health. 20(5). 3946–3946. 5 indexed citations
7.
Chen, Tao, et al.. (2022). Epidemiological characteristics of imported respiratory infectious diseases in China, 2014‒2018. Infectious Diseases of Poverty. 11(1). 22–22. 3 indexed citations
8.
Geng, Mengjie, Liping Wang, Xiang Ren, et al.. (2021). Correction to: Risk factors for developing severe COVID-19 in China: an analysis of disease surveillance data. Infectious Diseases of Poverty. 10(1). 81–81. 2 indexed citations
9.
Geng, Mengjie, Liping Wang, Xiang Ren, et al.. (2021). Risk factors for developing severe COVID-19 in China: an analysis of disease surveillance data. Infectious Diseases of Poverty. 10(1). 48–48. 34 indexed citations
11.
Wang, Xiaoning, Mengjie Geng, Jichun Wang, et al.. (2018). Prevalence of and risk factors for tuberculosis among healthcare workers in Chinese tuberculosis facilities. Infectious Diseases of Poverty. 7(1). 26–26. 20 indexed citations
12.
Cheng, Shiming, Deanna Tollefson, Guangxue He, et al.. (2018). Evaluating a framework for tuberculosis screening among healthcare workers in clinical settings, Inner Mongolia, China. Journal of Occupational Medicine and Toxicology. 13(1). 11–11. 4 indexed citations
13.
Huang, Chunlin, Xingwu Liu, Shiwei Sun, et al.. (2016). Insights into the transmission of respiratory infectious diseases through empirical human contact networks. Scientific Reports. 6(1). 31484–31484. 14 indexed citations
14.
Chen, Tao, Yu Qin, Xi Chen, et al.. (2015). Knowledge, Attitudes and Practice of Desalinated Water among Professionals in Health and Water Departments in Shengsi, China: A Qualitative Study. PLoS ONE. 10(4). e0118360–e0118360. 11 indexed citations
15.
Wang, Lixia, Hui Zhang, Yunzhou Ruan, et al.. (2014). Tuberculosis prevalence in China, 1990–2010; a longitudinal analysis of national survey data. The Lancet. 383(9934). 2057–2064. 407 indexed citations breakdown →
16.
Zhao, Fei, Shiming Cheng, Guangxue He, et al.. (2013). Space-Time Clustering Characteristics of Tuberculosis in China, 2005-2011. PLoS ONE. 8(12). e83605–e83605. 59 indexed citations
17.
Zhao, Yanlin, Shaofa Xu, Lixia Wang, et al.. (2012). National Survey of Drug-Resistant Tuberculosis in China. New England Journal of Medicine. 366(23). 2161–2170. 491 indexed citations breakdown →
18.
Zhang, Tianhua, Shaoru Zhang, Guanghua Chen, et al.. (2011). Improving detection and notification of tuberculosis cases in students in Shaanxi province, China: an intervention study. BMC Public Health. 11(1). 147–147. 6 indexed citations
19.
Men, Ke, Tianhua Zhang, Hongwei Zhang, et al.. (2010). Factors associated with low cure rate of tuberculosis in remote poor areas of Shaanxi Province, China: a case control study. BMC Public Health. 10(1). 112–112. 37 indexed citations
20.
Zhang, Lixing, Dehua Tu, Guangxue He, et al.. (2000). Risk of Tuberculosis Infection and Tuberculous Meningitis after Discontinuation of Bacillus Calmette–Guerin in Beijing. American Journal of Respiratory and Critical Care Medicine. 162(4). 1314–1317. 17 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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