Da Pan

3.2k citations
38 papers · 1.4k · 1 hit paper · h-index 15

Impact in

Papers in

Da Pan

34 papers receiving 1.4k citations

Da Pan's Hit Papers

China’s international trade and air pollution in the United States 2014 · 389 citations
3890+4+8Years since publication100200300

Peers

Da Pan
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 472
  • Environmental Engineering 479
  • Atmospheric Science 566
  • Process Chemistry and Technology 68
  • Global and Planetary Change 423
Replace Min Shao with:
Min Shao China
Sérgio Machado Corrêa Brazil
Edwin Schaaf Italy
Muhammad Fahim Khokhar Pakistan
Mikalai Filonchyk China
I. Bertok Austria
Miaomiao Cheng China
Shengji Luan China
Jeroen A. H. W. Peters Netherlands
Christopher S. Malley United Kingdom
Da Pan relative to Min Shao China Min Shao's profile →
Citations per field
00.5×1.5×1.8×
Min Shao · 1×
Citations per year

Countries citing papers authored by Da Pan

Since Specialization
Citations

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

Fields of papers citing papers by Da Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
China’s international trade and air pollution in the United States
Hit paper breakdown →
2014389
2 2016227
3 2020209
4 201684
5 201864
6 202058
7 201647
8 201543
9 201740
10 201938
11 201533
12 202026
13 202025
14 202120
15 202115
16 201814
17 202410
18 20249
19 20248
20 20237

About Da Pan

Da Pan is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering and Molecular Biology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (23 papers), Atmospheric and Environmental Gas Dynamics (18 papers), Air Quality and Health Impacts (9 papers), Atmospheric Ozone and Climate (5 papers), Vehicle emissions and performance (4 papers), Spectroscopy and Laser Applications (4 papers), Odor and Emission Control Technologies (3 papers) and Air Quality Monitoring and Forecasting (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (472 citations), Environmental Engineering (479 citations), Atmospheric Science (566 citations), Process Chemistry and Technology (68 citations) and Global and Planetary Change (423 citations). Da Pan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mark A. Zondlo, Levi M. Golston, Qiang Zhang, David G. Streets, Jintai Lin, Dabo Guan, Steven J. Davis, Kebin He, Donald J. Wuebbles and Can Wang. Their work appears in journals such as Environmental Science & Technology, Nature Geoscience, Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics and Atmospheric Environment.

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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