Danni Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Clinical Biochemistry top 10%
Papers in
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- Plant Gene Expression Analysis 3
- RNA Interference and Gene Delivery 3
- RNA modifications and cancer 3
- Circular RNAs in diseases 2
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- Plant Molecular Biology Research 5
- Plant Stress Responses and Tolerance 4
- Co-authors
- Jeannie T. Lee (5 shared papers)David Colognori (2 shared papers)Chen‐Yu Wang (2 shared papers)Hongjae Sunwoo (2 shared papers)Ning Wang (1 shared paper)Danbo Wang (1 shared paper)Caiqiu Gao (6 shared papers)Ning Wang (2 shared papers)
- Journals
- Nature Communications (2 papers)Tree Physiology (1 paper)Genes & Development (1 paper)Environmental Pollution (1 paper)Cellular Physiology and Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Danni Wang
25 papers receiving 427 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 137
- Clinical Biochemistry 37
- Molecular Biology 260
- Genetics 57
- Plant Science 79
Countries citing papers authored by Danni Wang
This map shows the geographic impact of Danni 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 Danni Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Wang more than expected).
Fields of papers citing papers by Danni Wang
This network shows the impact of papers produced by Danni 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 Danni Wang. The network helps show where Danni Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | 2019 | 58 | |
| 3 | 2020 | 41 | |
| 4 | 2016 | 27 | |
| 5 | 2022 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2023 | 20 | |
| 8 | 2016 | 17 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2025 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2011 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 6 |
About Danni Wang
Danni Wang is a scholar working on Molecular Biology, Plant Science, Ecology, Cancer Research and Genetics, having authored 30 papers that have together received 431 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Plant Stress Responses and Tolerance (4 papers), Plant Gene Expression Analysis (3 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Metabolism and Genetic Disorders (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (137 citations), Clinical Biochemistry (37 citations), Molecular Biology (260 citations), Genetics (57 citations) and Plant Science (79 citations). Danni Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jeannie T. Lee, David Colognori, Chen‐Yu Wang, Hongjae Sunwoo, Ning Wang, Danbo Wang, Caiqiu Gao, Ning Wang, Xinyi Liu and Yuan‐Yuan Wang. Their work appears in journals such as Nature Communications, Tree Physiology, Genes & Development, Environmental Pollution and Cellular Physiology and Biochemistry.
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.