Yu Gao

82 papers receiving 1.4k citations

Yu Gao's Hit Papers

Sustainable intensification of millet–pig agriculture in Neolithic North China 2022 · 53 citations
530+1+2Years since publication1020304050

Peers

Yu Gao
Comparison fields: 5 of 143
  • General Decision Sciences 71
  • Soil Science 192
  • Health, Toxicology and Mutagenesis 227
  • Global and Planetary Change 320
  • Atmospheric Science 220
Replace Daiju Narita with:
Daiju Narita Japan
Roz Pidcock France
Zhenke Zhang China
Peter J. Shaw United Kingdom
Riccardo Scalenghe Italy
J. M. Melillo United States
Kangning Xiong China
Benjamin A. Jones United States
Yu Gao relative to Daiju Narita Japan Daiju Narita's profile →
Citations per field
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Daiju Narita · 1×
Citations per year

Countries citing papers authored by Yu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201895
2 201976
3 202071
4 202069
5 202163
6 202062
7 200058
8
Sustainable intensification of millet–pig agriculture in Neolithic North China
Hit paper breakdown →
202253
9 202046
10 199345
11 201944
12 201942
13 201641
14 199237
15 202035
16 201634
17 201930
18 201228
19 202226
20 201926

About Yu Gao

Yu Gao is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Soil Science, Atmospheric Science and Plant Science, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (13 papers), Urban Green Space and Health (12 papers), Soil Carbon and Nitrogen Dynamics (9 papers), Decision-Making and Behavioral Economics (8 papers), Economic and Environmental Valuation (6 papers), Urban and spatial planning (5 papers), Climate change and permafrost (5 papers) and Soil and Unsaturated Flow (4 papers). The work is most often cited by research in General Decision Sciences (71 citations), Soil Science (192 citations), Health, Toxicology and Mutagenesis (227 citations), Global and Planetary Change (320 citations) and Atmospheric Science (220 citations). Yu Gao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include G. Jason Smith, Huan Meng, Weikang Zhang, R. S. Alberte, Han Bleichrodt, Hua Jin, Jing Xu, Qingshan Zhao, Randall S. Alberte and Tianxiao Li. Their work appears in journals such as Forests, Water, The Science of The Total Environment, International Journal of Environmental Research and Public Health and Journal of Risk and Uncertainty.

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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