Jing Gu

7.9k total citations · 1 hit paper
192 papers, 4.2k citations indexed

About

Jing Gu is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Jing Gu has authored 192 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Epidemiology, 77 papers in Infectious Diseases and 39 papers in General Health Professions. Recurrent topics in Jing Gu's work include HIV/AIDS Research and Interventions (69 papers), HIV, Drug Use, Sexual Risk (64 papers) and Sex work and related issues (29 papers). Jing Gu is often cited by papers focused on HIV/AIDS Research and Interventions (69 papers), HIV, Drug Use, Sexual Risk (64 papers) and Sex work and related issues (29 papers). Jing Gu collaborates with scholars based in China, Hong Kong and United States. Jing Gu's co-authors include Robert W. Williams, Joseph T. F. Lau, Lu Lu, Yuantao Hao, Chun Hao, L. Lü, Jeremy L. Peirce, Lee M. Silver, Jinghua Li and Siming Shou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Jing Gu

186 papers receiving 4.2k citations

Hit Papers

Complex trait analysis of gene expression uncovers polyge... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Gu China 33 1.0k 981 921 645 582 192 4.2k
Michael Gottlieb United States 50 1.3k 1.2× 1.3k 1.3× 1.3k 1.4× 233 0.4× 716 1.2× 582 10.2k
Ruth Ann Marrie Canada 73 2.2k 2.1× 528 0.5× 1.5k 1.7× 975 1.5× 883 1.5× 485 20.0k
Giovanni Corsello Italy 38 946 0.9× 376 0.4× 1.2k 1.3× 962 1.5× 295 0.5× 338 6.2k
John Williamson United States 49 1.1k 1.0× 1.7k 1.7× 732 0.8× 271 0.4× 671 1.2× 237 8.2k
Brian Faragher United Kingdom 39 852 0.8× 447 0.5× 370 0.4× 551 0.9× 822 1.4× 114 7.3k
Masahiro Kihara Japan 35 871 0.8× 881 0.9× 661 0.7× 131 0.2× 692 1.2× 169 3.7k
Mario Cortina‐Borja United Kingdom 48 2.0k 1.9× 2.4k 2.4× 793 0.9× 294 0.5× 1.1k 1.9× 289 8.8k
Larry R. Muenz United States 52 1.9k 1.8× 1.7k 1.8× 843 0.9× 297 0.5× 1.2k 2.1× 102 8.9k
Jatinder Singh India 23 557 0.5× 225 0.2× 743 0.8× 236 0.4× 628 1.1× 88 5.0k
Ronald B. Turner United States 43 1.8k 1.7× 845 0.9× 623 0.7× 190 0.3× 503 0.9× 116 7.0k

Countries citing papers authored by Jing Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Gu. A scholar is included among the top collaborators of Jing Gu 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 Jing Gu. Jing Gu 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.
Zhang, Yuqin, Jing Wei, Wayne R. Lawrence, et al.. (2025). Potential causal associations of long-term exposure to PM2.5 constituents and all-cause mortality: Evidence from the Pearl River Cohort study. Ecotoxicology and Environmental Safety. 291. 117897–117897. 3 indexed citations
2.
Gu, Jing, et al.. (2025). Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption. Water Research X. 26. 100309–100309. 2 indexed citations
3.
Wang, Xu, et al.. (2024). Healthy aging trajectories and their predictors among Chinese older adults: Evidence from a 7-year nationwide prospective cohort study. Archives of Gerontology and Geriatrics. 120. 105331–105331. 5 indexed citations
4.
Fu, Yuhong, et al.. (2024). Comprehensive study of the aging knee and second-life potential of the Nissan Leaf e+ batteries. Journal of Power Sources. 613. 234884–234884. 6 indexed citations
5.
Zhang, Jing, Mingyu Chen, Xiuyuan Chen, et al.. (2024). Fasting plasma glucose trends in the elderly living with HIV/AIDS on combination antiretroviral therapy regimens. BMJ Open. 14(11). e085266–e085266. 1 indexed citations
6.
Liu, Jiaye, et al.. (2023). Ageing and non-liver comorbidities in population with chronic hepatitis B infection in the western pacific region from 1990 to 2019. Frontiers in Physiology. 14. 1176113–1176113. 4 indexed citations
7.
Gu, Yuzhou, Fengsu Hou, Qingling Yang, et al.. (2023). Delivery of WeChat-Based HIV Result e-Reports in Social Networks for Recruitment of High-Risk Population: Baseline Data From a Cluster Randomized Controlled Trial. Journal of Medical Internet Research. 25. e46793–e46793. 1 indexed citations
8.
Fan, Xiaoyan, Ke Ning, Cong Liu, et al.. (2023). Uptake of an App-Based Case Management Service for HIV-Positive Men Who Have Sex With Men in China: Process Evaluation Study. Journal of Medical Internet Research. 25. e40176–e40176. 4 indexed citations
9.
Wang, Xinran, Zhicheng Du, Jing Gu, et al.. (2023). Impact and Cost-Effectiveness of Biomedical Interventions on Adult Hepatitis B Elimination in China: A Mathematical Modelling Study. Journal of Epidemiology and Global Health. 13(3). 517–527. 4 indexed citations
10.
Tan, Wenyan, Yuqin Zhang, Yuantao Hao, et al.. (2022). Regional years of life lost, years lived with disability, and disability-adjusted life-years for severe mental disorders in Guangdong Province, China: a real-world longitudinal study. Global Health Research and Policy. 7(1). 17–17. 14 indexed citations
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13.
Peng, Liping, Wangnan Cao, Jing Gu, et al.. (2019). Willingness to Use and Adhere to HIV Pre-Exposure Prophylaxis (PrEP) among Men Who Have Sex with Men (MSM) in China. International Journal of Environmental Research and Public Health. 16(14). 2620–2620. 45 indexed citations
14.
Xue, Jiaolong, et al.. (2019). Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study. Journal of Medical Internet Research. 21(10). e14316–e14316. 91 indexed citations
16.
He, Juan, Huifang Xu, Weibin Cheng, et al.. (2018). Intimate relationship characteristics as determinants of HIV risk among men who have sex with regular male sex partners: a cross-sectional study in Guangzhou, China. BMC Infectious Diseases. 18(1). 150–150. 8 indexed citations
17.
Lau, Joseph T. F., et al.. (2012). Awareness and Acceptability of Female Condoms Among Monogamous Hong Kong Chinese Female Sexually Transmitted Infection Patients. AIDS and Behavior. 17(3). 1195–1204. 5 indexed citations
18.
Koyama, Shinichi, Jing Gu, & Hiroki Hibino. (2010). Perception of race and sex differently depends on the low and high spatial frequency channels. Journal of Vision. 10(7). 704–704. 3 indexed citations
20.
Gu, Jing. (2007). Investigation on the High-Risk Behaviors of HIV Positive Drug Users in Guangzhou City. Journal of Tropical Medicine. 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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