Dan Yao

1.9k citations
69 papers · 1.4k · h-index 23

Impact in

Papers in

Dan Yao

66 papers receiving 1.4k citations

Peers

Dan Yao
Comparison fields: 5 of 90
  • Atmospheric Science 860
  • Health, Toxicology and Mutagenesis 488
  • Environmental Engineering 355
  • Global and Planetary Change 357
  • Environmental Chemistry 103
Replace Nathan C. Eddingsaas with:
Nathan C. Eddingsaas United States
Monica Passananti Italy
Biao Jin China
Narcisse T. Tsona China
Shouming Zhou Canada
Barbara Nozière France
Man Nin Chan Hong Kong
Angela Maria Stortini Italy
Haijie Tong Germany
Fei Zhang China
Dan Yao relative to Nathan C. Eddingsaas United States Nathan C. Eddingsaas's profile →
Citations per field
00.5×5.7×
Nathan C. Eddingsaas · 1×
Citations per year

Countries citing papers authored by Dan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 201588
3 201972
4 200766
5 202064
6 201851
7 202149
8 201842
9 202041
10 202041
11 202040
12 201938
13 202032
14 201831
15 202131
16 201431
17 200630
18 201728
19 201627
20 202025

About Dan Yao

Dan Yao is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (26 papers), Air Quality and Health Impacts (23 papers), Air Quality Monitoring and Forecasting (14 papers), Meteorological Phenomena and Simulations (11 papers), Atmospheric Ozone and Climate (8 papers), Climate variability and models (8 papers), Tropical and Extratropical Cyclones Research (6 papers) and Atmospheric aerosols and clouds (5 papers). The work is most often cited by research in Atmospheric Science (860 citations), Health, Toxicology and Mutagenesis (488 citations), Environmental Engineering (355 citations), Global and Planetary Change (357 citations) and Environmental Chemistry (103 citations). Dan Yao has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Yuesi Wang, Yuan Yang, Jie Sun, Yinghong Wang, Zhiyong Meng, Guiqian Tang, Xianmei Lan, Cui Zhao, Shuman Zhao and Xuebo Cao. Their work appears in journals such as The Science of The Total Environment, Journal of Environmental Sciences, Environmental Pollution, Atmosphere and Remote Sensing.

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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