Guicai Ning

2.1k total citations · 1 hit paper
42 papers, 1.5k citations indexed

About

Guicai Ning is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Guicai Ning has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 23 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Guicai Ning's work include Air Quality and Health Impacts (17 papers), Climate variability and models (16 papers) and Atmospheric chemistry and aerosols (14 papers). Guicai Ning is often cited by papers focused on Air Quality and Health Impacts (17 papers), Climate variability and models (16 papers) and Atmospheric chemistry and aerosols (14 papers). Guicai Ning collaborates with scholars based in China, Hong Kong and United States. Guicai Ning's co-authors include Shigong Wang, Yuanjian Yang, Ming Luo, Steve Hung Lam Yim, Jiaxin Wang, Zhen Liu, Jinyan Wang, Yubin Li, Tao Gao and Wei Zhang and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Science Advances.

In The Last Decade

Guicai Ning

40 papers receiving 1.5k citations

Hit Papers

Anthropogenic forcing has increased the risk of longer-tr... 2024 2026 2025 2024 10 20 30 40 50

Peers

Guicai Ning
Comparison fields: 5 of 81
  • Global and Planetary Change 918
  • Atmospheric Science 918
  • Health, Toxicology and Mutagenesis 721
  • Environmental Engineering 526
  • Automotive Engineering 53
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Citations per field, relative to Guicai Ning
Guicai Ning · 1×
Citations per year, relative to Guicai Ning
Guicai Ning · 1×

Countries citing papers authored by Guicai Ning

Since Specialization
Citations

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

Fields of papers citing papers by Guicai Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guicai Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Guicai Ning. A scholar is included among the top collaborators of Guicai Ning based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guicai Ning. Guicai Ning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 2
5 2
6 19
7
Anthropogenic forcing has increased the risk of longer-traveling and slower-moving large contiguous heatwaves breakdown →
53
8 12
9 52
10 5
11 47
12 6
13 45
14 2
15 111
16 35
17 24
18 19
19 130
20 6

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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