The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Jun Wu sits on this spectrum.
This scientist: 202 publications — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 687 publications or more.
The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Jun Wu sits on this spectrum.
This scientist: 61 D-Index — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 125 D-Index or more.
Jun Wu is affiliated with the University of California, Irvine in the United States. Their research primarily focuses on Environmental Science, with a particular emphasis on Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change, Speech and Hearing, and Sociology and Political Science.
The scientist's work spans multiple important topics including Air Quality and Health Impacts, Air Quality Monitoring and Forecasting, Climate Change and Health Impacts, Noise Effects and Management, Urban Green Space and Health, Fire effects on ecosystems, and Energy and Environment Impacts.
Jun Wu has contributed numerous articles to scholarly journals, often collaborating with other researchers. Frequent co-authors include Yi Sun, Beate Ritz, Tarik Benmarhnia, Shahir Masri, and Daniel O. Stram. Their research is published in various venues, with notable contributions to ISEE Conference Abstracts, Environment International, Cancer Epidemiology Biomarkers & Prevention, Environmental Research, and the International Journal of Environmental Research and Public Health.
The research reflects a strong focus on the effects of air pollutants and environmental factors on public health outcomes. Several studies address the impact of air pollution on pregnancy outcomes, while others investigate the disproportionate effects of wildfires on vulnerable populations.
Jun Wu's investigations often leverage big data and advanced statistical or deep learning methods to better understand and estimate environmental exposures and their health consequences.
Ralph J Delfino;Sean Brummel;Jun Wu;Hal Stern
Jun Wu;Cizao Ren;Ralph J. Delfino;Judith Chung
Ondine S von Ehrenstein;Chenxiao Ling;Xin Cui;Xin Cui;Myles Cockburn
Nino Künzli;Ed Avol;Jun Wu;W. James Gauderman
Douglas Houston;Jun Wu;Paul Ong;Arthur Winer
Jun Wu;Jian Lu;Leiming Li;Xiuyun Min
Jun Wu;Michelle Wilhelm;Judith Chung;Beate Ritz
Xiaohu Wen;Jian Lu;Jun Wu;Yichen Lin
Alyssa J. Beltran;Jun Wu;Olivier Laurent
Jian Lu;Jun Wu;Cui Zhang;Yuxuan Zhang
Jian-Hua Wang;Jian Lu;Yu-Xuan Zhang;Jun Wu
Julia E Heck;Jun Wu;Christina Lombardi;Jiaheng Qiu
Ralph J. Delfino;Jun Wu;Thomas Tjoa;Sevan K. Gullesserian
Diana Younan;Catherine Tuvblad;Catherine Tuvblad;Lianfa Li;Jun Wu
Hong Yao;Jian Lu;Jun Wu;Zeyu Lu
Jun Wu;Arthur M Winer;Ralph J Delfino
Olivier Laurent;Jianlin Hu;Lianfa Li;Myles Cockburn
Xianjie Jia;Ying Yu;Wanning Xia;Shahir Masri
Bruce E Logan;Jun Wu;Richard F Unz
Olivier Laurent;Jun Wu;Lianfa Li;Cristina Milesi
Jun Wu;Chengsheng Jiang;Guillermo Jaimes;Scott Bartell
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