Danni Sun
Impact in
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
- Inflammatory mediators and NSAID effects
Papers in
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- Extracellular vesicles in disease 3
- Bone Metabolism and Diseases 3
- Protein Degradation and Inhibitors 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Pharmacological Effects of Natural Compounds 3
- Co-authors
- Xun Huang (6 shared papers)Meiyu Geng (6 shared papers)Jian Ding (6 shared papers)Min Huang (5 shared papers)Qiuming Pan (4 shared papers)Aijun Shen (3 shared papers)Xuhong Fu (3 shared papers)Na Lin (7 shared papers)
- Journals
- Journal of Translational Medicine (3 papers)Acta Pharmacologica Sinica (2 papers)Cancer Letters (2 papers)Oncotarget (2 papers)Rejuvenation Research (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Danni Sun
24 papers receiving 582 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 48
- Cancer Research 80
- Immunology 112
- Molecular Biology 347
- Cell Biology 75
Countries citing papers authored by Danni Sun
This map shows the geographic impact of Danni Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Sun more than expected).
Fields of papers citing papers by Danni Sun
This network shows the impact of papers produced by Danni Sun. 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 Sun. The network helps show where Danni Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Sun, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 106 | |
| 2 | 2017 | 98 | |
| 3 | 2013 | 61 | |
| 4 | 2018 | 60 | |
| 5 | 2014 | 54 | |
| 6 | 2017 | 34 | |
| 7 | 2024 | 26 | |
| 8 | 2017 | 24 | |
| 9 | 2022 | 21 | |
| 10 | 2018 | 21 | |
| 11 | 2015 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 2015 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2021 | 2 |
About Danni Sun
Danni Sun is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Immunology and Oncology, having authored 26 papers that have together received 594 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Extracellular vesicles in disease (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Bone Metabolism and Diseases (3 papers), Protein Degradation and Inhibitors (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cell Adhesion Molecules Research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Pharmacology (48 citations), Cancer Research (80 citations), Immunology (112 citations), Molecular Biology (347 citations) and Cell Biology (75 citations). Danni Sun has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xun Huang, Meiyu Geng, Jian Ding, Min Huang, Qiuming Pan, Aijun Shen, Xuhong Fu, Na Lin, Chunfang Liu and Rongrui Wei. Their work appears in journals such as Journal of Translational Medicine, Acta Pharmacologica Sinica, Cancer Letters, Oncotarget and Rejuvenation Research.
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.