Yao Gu

674 citations
33 papers · 482 · h-index 12

Impact in

Papers in

Yao Gu

32 papers receiving 476 citations

Peers

Yao Gu
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 245
  • Atmospheric Science 301
  • Environmental Engineering 134
  • Global and Planetary Change 97
  • Automotive Engineering 51
Replace Fábio Lopes with:
Fábio Lopes Brazil
J.C. Sagebiel United States
Tianle Zhang China
Jihoon Seo South Korea
Jes Fenger Denmark
Petr Vodička Czechia
Kelsey R. Bilsback United States
Arindam Roy India
H. W. Wallace United States
Yao Gu relative to Fábio Lopes Brazil Fábio Lopes's profile →
Citations per field
00.5×3.2×
Fábio Lopes · 1×
Citations per year

Countries citing papers authored by Yao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 201954
3 202051
4 202149
5 202330
6 201726
7 202023
8 201523
9 201420
10 202015
11 201815
12 202213
13 202411
14 202111
15 201910
16 20258
17 20167
18 20217
19 20226
20 20216

About Yao Gu

Yao Gu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Paleontology, having authored 33 papers that have together received 482 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (12 papers), Atmospheric chemistry and aerosols (11 papers), Geology and Paleoclimatology Research (9 papers), Air Quality Monitoring and Forecasting (8 papers), Archaeology and ancient environmental studies (5 papers), Pleistocene-Era Hominins and Archaeology (4 papers), Advanced Photocatalysis Techniques (4 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (245 citations), Atmospheric Science (301 citations), Environmental Engineering (134 citations), Global and Planetary Change (97 citations) and Automotive Engineering (51 citations). Yao Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qili Dai, Baoshuang Liu, Yinchang Feng, Yufen Zhang, Xiaoyun Sun, Yongqing Bai, Tianliang Zhao, Weiyang Hu, Philip K. Hopke and Yanlong Yu. Their work appears in journals such as Quaternary Research, Journal of Hazardous Materials, Atmospheric Environment, Quaternary Geochronology and The Science of The Total 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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