Kun Wang

2.6k citations
128 papers · 1.9k · h-index 25

Impact in

    • Soil Carbon and Nitrogen Dynamics
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance

Papers in

Kun Wang

124 papers receiving 1.9k citations

Peers

Kun Wang
Comparison fields: 5 of 123
  • Soil Science 463
  • Plant Science 762
  • Ecology 414
  • Global and Planetary Change 302
  • Management, Monitoring, Policy and Law 145
Replace Kaiwen Pan with:
Kaiwen Pan China
Lily Pereg Australia
Olusanya Abiodun Olatunji China
Lei Ma China
Turgay Dindaroğlu Türkiye
Kristin Piikki Sweden
Stefano Mazzoleni Italy
Kun Wang relative to Kaiwen Pan China Kaiwen Pan's profile →
Citations per field
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Kaiwen Pan · 1×
Citations per year

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017138
2 2007137
3 2015101
4 201983
5 201883
6 201854
7 202049
8 202045
9 201440
10 202139
11 202137
12 201934
13 201433
14 201633
15 201432
16 201832
17 201529
18 202228
19 202228
20 200727

About Kun Wang

Kun Wang is a scholar working on Plant Science, Molecular Biology, Soil Science, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 128 papers that have together received 1.9k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (21 papers), Rangeland Management and Livestock Ecology (16 papers), Plant Molecular Biology Research (14 papers), Ecology and Vegetation Dynamics Studies (14 papers), Plant Parasitism and Resistance (9 papers), Forest, Soil, and Plant Ecology in China (8 papers), Remote Sensing and Land Use (7 papers) and Plant Ecology and Soil Science (7 papers). The work is most often cited by research in Soil Science (463 citations), Plant Science (762 citations), Ecology (414 citations), Global and Planetary Change (302 citations) and Management, Monitoring, Policy and Law (145 citations). Kun Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Ding Huang, Pingfang Yang, Shiming Tang, Xiajie Zhai, Yingguo Zhu, Jiahuan Li, Lixue Wang, Ting Wang, Yuejuan Yang and Yang Li. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, BMC Ecology, Ecological Indicators 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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