Yueni Wu

746 citations
13 papers · 556 · h-index 12

Impact in

    • Soil Carbon and Nitrogen Dynamics
  • Ecology top 10%
    • Microbial Community Ecology and Physiology
    • Environmental DNA in Biodiversity Studies

Papers in

    • Microbial Community Ecology and Physiology 10
    • Gut microbiota and health 5
    • Genomics and Phylogenetic Studies 4
    • Bioinformatics and Genomic Networks 1

Yueni Wu

13 papers receiving 555 citations

Peers

Yueni Wu
Comparison fields: 5 of 80
  • Soil Science 142
  • Ecology 251
  • Pollution 82
  • Environmental Chemistry 43
  • Ecological Modeling 14
Replace Nina Montoya‐Ciriaco with:
Nina Montoya‐Ciriaco Mexico
Cristina M. Herren United States
Pierre Alain Maron France
Julien Barrere United States
Mario E. Muscarella United States
Rachel G. Campbell Canada
Qicheng Xu China
Chunling Liang China
Keming Yang China
Ziheng Peng China
Yueni Wu relative to Nina Montoya‐Ciriaco Mexico Nina Montoya‐Ciriaco's profile →
Citations per field
00.5×10×
Nina Montoya‐Ciriaco · 1×
Citations per year

Countries citing papers authored by Yueni Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yueni Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2019191
2 201874
3 201867
4 202064
5 201933
6 202026
7 202120
8 202216
9 201916
10 202216
11 202115
12 202214
13 20204

About Yueni Wu

Yueni Wu is a scholar working on Ecology, Molecular Biology, Pollution, Ecological Modeling and Soil Science, having authored 13 papers that have together received 556 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (10 papers), Gut microbiota and health (5 papers), Genomics and Phylogenetic Studies (4 papers), Species Distribution and Climate Change (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Forest Ecology and Biodiversity Studies (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Soil Science (142 citations), Ecology (251 citations), Pollution (82 citations), Environmental Chemistry (43 citations) and Ecological Modeling (14 citations). Yueni Wu has collaborated with scholars based in China, France and Japan. Frequent co-authors include Ye Deng, Kai Feng, Zhujun Wang, Yuzhan Yang, Zhihua Gong, Lianyang Bai, Yuqi Cheng, Qiulong Hu, Zhonghua Liu and Wenjun Xiao. Their work appears in journals such as Soil Ecology Letters, Molecular Ecology, Environmental Pollution, Soil and Tillage Research and International Journal of Environmental Research and Public Health.

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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