Jian Gao

17.1k citations
245 papers · 7.8k indexed · 1 hit paper · h-index 47

Jian Gao

234 papers receiving 7.7k citations

Hit Papers

Amplified transboundary transport of haze by aerosol–boun...243202020262022202450100150200

Peers

Jian Gao
Comparison fields: 5 of 175
  • Health, Toxicology and Mutagenesis 4.8k
  • Atmospheric Science 5.3k
  • Environmental Engineering 2.4k
  • Global and Planetary Change 2.0k
  • Automotive Engineering 974
Replace Markus Amann with:
Markus Amann Germany
Cliff I. Davidson United States
Bin Zhao China
David T. Allen United States
Hongliang Zhang China
Ying Chen China
Yuli Shan China
Xuejun Wang China
Jun Yang China
Jian Gao relative to Markus Amann Germany Markus Amann's profile →
Citations per field
00.5×1.5×2.4×
Markus Amann · 1×
Citations per year

Countries citing papers authored by Jian Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jian Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jian Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jian Gao Line = papers co-authored together Jian Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202511
4 202416
5 20242
6 20242
7 20244
8 20245
9 202415
10 20243
11 20232
12 20236
13 20232
14 202210
15 202144
16 201933
17 201829
18 201818
19
Character of individual aerosol particles under haze days in summer and winter in Beijing,China
20164
20
[Characterization of chemical compositions in PM2.5 and its impact on hazy weather during 16th Asian Games in Guangzhou].
20132

About Jian Gao

Jian Gao is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 245 papers that have together received 7.8k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (135 papers), Air Quality and Health Impacts (126 papers), Air Quality Monitoring and Forecasting (59 papers), Atmospheric Ozone and Climate (41 papers), Atmospheric aerosols and clouds (34 papers), Vehicle emissions and performance (34 papers), Fuel Cells and Related Materials (18 papers) and Membrane-based Ion Separation Techniques (16 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (4.8k citations), Atmospheric Science (5.3k citations) and Environmental Engineering (2.4k citations). Jian Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Wang, Fahe Chai, Aijun Ding, Likun Xue, Tao Zhou, Wenxing Wang, Xinfeng Wang, D. R. Blake, Yuechong Zhang and Jun Tao. Their work appears in journals such as Nature, Science and Nature Communications.

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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