Jun Meng

2.7k citations
66 papers · 1.6k · h-index 22

Impact in

Papers in

Jun Meng

64 papers receiving 1.5k citations

Peers

Jun Meng
Comparison fields: 5 of 126
  • Health, Toxicology and Mutagenesis 665
  • Global and Planetary Change 609
  • Atmospheric Science 510
  • Pollution 210
  • Environmental Engineering 251
Replace Helen ApSimon with:
Helen ApSimon United Kingdom
Khosro Ashrafi Iran
Xiaoxi Zhao China
Marcus C. Sarofim United States
Ashok K. Luhar Australia
Yin Ren China
Bidroha Basu Ireland
R. Kinnersley United Kingdom
Antonio Donateo Italy
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Citations per field
00.5×2.8×
Helen ApSimon · 1×
Citations per year

Countries citing papers authored by Jun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Meng, 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 Jun Meng Line = papers co-authored together Jun Meng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020171
2 202292
3 202288
4 201787
5 202085
6
Mortality-Air Pollution Associations in Low Exposure Environments (MAPLE): Phase 2.
201985
7 201784
8 201971
9 202366
10 201966
11 202062
12 201955
13 201946
14 202137
15 201737
16 201936
17 202035
18 201032
19 201831
20 202130

About Jun Meng

Jun Meng is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Atmospheric Science, Statistical and Nonlinear Physics and Environmental Engineering, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (22 papers), Atmospheric chemistry and aerosols (16 papers), Complex Network Analysis Techniques (9 papers), Climate Change and Health Impacts (9 papers), Atmospheric aerosols and clouds (8 papers), Climate variability and models (8 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Ecosystem dynamics and resilience (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (665 citations), Global and Planetary Change (609 citations), Atmospheric Science (510 citations), Pollution (210 citations) and Environmental Engineering (251 citations). Jun Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Randall V. Martin, Jingfang Fan, Chi Li, Aaron van Donkelaar, Hans Joachim Schellnhuber, Yosef Ashkenazy, Shlomo Havlin, Perry Hystad, Michael Bräuer and Richard T. Burnett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Geoscientific model development, Environmental Science & Technology, Science Bulletin and Nature Physics.

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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