Danni Sun
Impact in
-
- Galectins and Cancer Biology
-
- Glycosylation and Glycoproteins Research
- Ubiquitin and proteasome pathways
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Protein Degradation and Inhibitors 2
- Extracellular vesicles in disease 2
- Bone Metabolism and Diseases 2
- Co-authors
- Jian Ding (6 shared papers)Xun Huang (6 shared papers)Meiyu Geng (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)Oncotarget (2 papers)Rejuvenation Research (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Danni Sun
25 papers receiving 621 citations
Peers
Comparison fields: 5 of 92
- Immunology 99
- Molecular Biology 329
- Cancer Research 64
- Cell Biology 74
- Pharmacology 36
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 | 115 | |
| 2 | 2017 | 99 | |
| 3 | 2013 | 63 | |
| 4 | 2018 | 61 | |
| 5 | 2014 | 56 | |
| 6 | 2024 | 37 | |
| 7 | 2017 | 34 | |
| 8 | 2017 | 24 | |
| 9 | 2022 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2015 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2014 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 2 |
About Danni Sun
Danni Sun is a scholar working on Molecular Biology, Cell Biology, Pharmacology, Immunology and Cancer Research, having authored 26 papers that have together received 631 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Protein Degradation and Inhibitors (2 papers), Algal biology and biofuel production (2 papers), Pain Mechanisms and Treatments (2 papers), Extracellular vesicles in disease (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Immunology (99 citations), Molecular Biology (329 citations), Cancer Research (64 citations), Cell Biology (74 citations) and Pharmacology (36 citations). Danni Sun has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jian Ding, Xun Huang, Meiyu Geng, Min Huang, Qiuming Pan, Aijun Shen, Xuhong Fu, Na Lin, Chunfang Liu and Xianliang Xin. Their work appears in journals such as Journal of Translational Medicine, Acta Pharmacologica Sinica, Oncotarget, Rejuvenation Research and Cancer Letters.
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.