Dingyi Wang
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Insect Science top 5%
- Entomopathogenic Microorganisms in Pest Control
- Insect symbiosis and bacterial influences
Papers in
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- Entomopathogenic Microorganisms in Pest Control 11
- Insect symbiosis and bacterial influences 7
- Forest Ecology and Biodiversity Studies 3
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- Insect Resistance and Genetics 7
- Co-authors
- Ming‐Guang Feng (9 shared papers)Sheng‐Hua Ying (8 shared papers)Xiangyin Ni (8 shared papers)Kai Yue (6 shared papers)Sen‐Miao Tong (6 shared papers)Yan Peng (5 shared papers)Fuzhong Wu (6 shared papers)Yusheng Yang (3 shared papers)
- Journals
- Fungal Genetics and Biology (3 papers)Forests (3 papers)Applied and Environmental Microbiology (2 papers)Thrombosis and Haemostasis (1 paper)CATENA (1 paper)
- Partner nations
- ChinaMalaysiaMontenegro
In The Last Decade
Dingyi Wang
22 papers receiving 703 citations
Peers
Comparison fields: 5 of 82
- Soil Science 161
- Insect Science 179
- Aquatic Science 76
- Pharmacology 94
- Plant Science 221
Countries citing papers authored by Dingyi Wang
This map shows the geographic impact of Dingyi 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 Dingyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyi Wang more than expected).
Fields of papers citing papers by Dingyi Wang
This network shows the impact of papers produced by Dingyi 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 Dingyi Wang. The network helps show where Dingyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingyi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 140 | |
| 2 | 2020 | 139 | |
| 3 | 2020 | 122 | |
| 4 | 2018 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2022 | 33 | |
| 7 | 2020 | 28 | |
| 8 | 2019 | 22 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 4 |
About Dingyi Wang
Dingyi Wang is a scholar working on Insect Science, Molecular Biology, Plant Science, Ecology and Nature and Landscape Conservation, having authored 23 papers that have together received 708 indexed citations. Recurring topics across this work include Entomopathogenic Microorganisms in Pest Control (11 papers), Insect Resistance and Genetics (7 papers), Insect symbiosis and bacterial influences (7 papers), Soil Carbon and Nitrogen Dynamics (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Soil and Water Nutrient Dynamics (3 papers), Forest Ecology and Biodiversity Studies (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). The work is most often cited by research in Soil Science (161 citations), Insect Science (179 citations), Aquatic Science (76 citations), Pharmacology (94 citations) and Plant Science (221 citations). Dingyi Wang has collaborated with scholars based in China, Malaysia and Montenegro. Frequent co-authors include Ming‐Guang Feng, Sheng‐Hua Ying, Xiangyin Ni, Kai Yue, Sen‐Miao Tong, Yan Peng, Fuzhong Wu, Yusheng Yang, Siyi Tan and Ruting Zhong. Their work appears in journals such as Fungal Genetics and Biology, Forests, Applied and Environmental Microbiology, Thrombosis and Haemostasis and CATENA.
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.