The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Guibin Jiang sits on this spectrum.
This scientist: 964 publications — 98th percentile
98% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,295 publications or more.
The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Guibin Jiang sits on this spectrum.
This scientist: 128 D-Index — 98th percentile
98% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 159 D-Index or more.
Guibin Jiang is affiliated with the Chinese Academy of Sciences in China, specializing in Environmental Science with a significant focus on Health, Toxicology and Mutagenesis, Pollution, Materials Chemistry, Molecular Biology, and Atmospheric Science. Their research output spans a broad spectrum of environmental topics, reflecting a multidisciplinary approach to understanding environmental impacts and chemical risks.
The scientist's work often addresses critical environmental concerns such as the impact of toxic organic pollutants, the effects and risks of endocrine-disrupting chemicals, air quality and its health impacts, atmospheric chemistry and aerosols, mercury impact and mitigation studies, per- and polyfluoroalkyl substances research, and microplastics and plastic pollution.
Recent notable publications include:
Guibin Jiang frequently collaborates with several researchers, with notable co-authors including Ligang Hu, Jianbo Shi, Qian Liu, Yongguang Yin, and Guangbo Qu. Their collaborative efforts have contributed to advancing the field of environmental science in various sub-disciplines and application areas.
The scientist's publications are predominantly found in specific journals known for environmental science and technology research. Key publication venues include:
Guibin Jiang's research output reflects an extensive engagement with environmental chemistry, toxicology, and pollution. Their work supports the broader understanding of how environmental pollutants affect health and ecosystems, integrating advanced methodologies such as data-driven machine learning to address environmental pollution challenges.
Jing-Fu Liu;Zong-Shan Zhao;Gui-Bin Jiang
Qunfang Zhou;Jianbin Zhang;Jianjie Fu;Jianbo Shi
Gui-Bin Jiang;Jian-Bo Shi;Xin-Bin Feng
Longyao Xu;He Zhang;Ping Xiong;Qingqing Zhu
Jianjie Fu;Qunfang Zhou;Jiemin Liu;Wei Liu
Qingxin Mu;Guibin Jiang;Lingxin Chen;Hongyu Zhou;Hongyu Zhou
Yaqi Cai;Guibin Jiang;Jingfu Liu;Qingxiang Zhou
Chun-gang Yuan;Jian-bo Shi;Bin He;Jing-fu Liu
Jing-fu Liu;Gui-bin Jiang;Yu-guang Chi;Ya-qi Cai
Shengxiao Zhang;Xiaoli Zhao;Hongyun Niu;Yali Shi
Qian Liu;Jianbo Shi;Jianteng Sun;Thanh Wang
Xiaoli Zhao;Yali Shi;Thanh Wang;Yaqi Cai
Ya-Qi Cai;Gui-Bin Jiang;Jing-Fu Liu;Qing-Xiang Zhou
Guoliang Li;Zongshan Zhao;Jiyan Liu;Guibin Jiang
Thanh Wang;Yawei Wang;Chunyang Liao;Yaqi Cai
Jing-fu Liu;Ning Li;Gui-bin Jiang;Jie-min Liu
Lin Cui;Qun-fang Zhou;Chun-yang Liao;Jian-jie Fu
Xin Wang;Qingqing Zhu;Xueting Yan;Yawei Wang
Qian Liu;Jianbo Shi;Lixi Zeng;Thanh Wang
Bin He;ZhaoJun Yun;JianBo Shi;GuiBin Jiang
Xiaoli Zhao;Jieming Wang;Fengchang Wu;Thanh Wang
Jin-Feng Peng;Jing-Fu Liu;Xia-Lin Hu;Gui-Bin Jiang
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