Danhong Dong
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Cryospheric studies and observations
- Global and Planetary Change top 10%
- Climate variability and models
- Atmospheric aerosols and clouds
Papers in
-
- Meteorological Phenomena and Simulations 7
- Tropical and Extratropical Cyclones Research 6
-
- Climate variability and models 10
- Co-authors
- Gang Huang (7 shared papers)Weichen Tao (8 shared papers)Kaiming Hu (2 shared papers)Xia Qü (1 shared paper)Guangzhou Fan (1 shared paper)William K. M. Lau (2 shared papers)Pengfei Wang (2 shared papers)Chaofan Li (1 shared paper)
- Journals
- International Journal of Climatology (2 papers)Climate Dynamics (2 papers)Briefings in Bioinformatics (1 paper)BMC Medicine (1 paper)Frontiers in Nutrition (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Danhong Dong
19 papers receiving 271 citations
Peers
Comparison fields: 5 of 56
- Atmospheric Science 152
- Global and Planetary Change 157
- Microbiology 21
- Oceanography 33
- Water Science and Technology 19
Countries citing papers authored by Danhong Dong
This map shows the geographic impact of Danhong Dong'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 Danhong Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danhong Dong more than expected).
Fields of papers citing papers by Danhong Dong
This network shows the impact of papers produced by Danhong Dong. 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 Danhong Dong. The network helps show where Danhong Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Danhong Dong, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2014 | 49 | |
| 3 | 2024 | 32 | |
| 4 | 2017 | 28 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Danhong Dong
Danhong Dong is a scholar working on Atmospheric Science, Global and Planetary Change, Molecular Biology, Computational Theory and Mathematics and Surgery, having authored 21 papers that have together received 274 indexed citations. Recurring topics across this work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (7 papers), Tropical and Extratropical Cyclones Research (6 papers), Computational Drug Discovery Methods (3 papers), RNA modifications and cancer (3 papers), Machine Learning in Bioinformatics (2 papers), Oceanographic and Atmospheric Processes (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Atmospheric Science (152 citations), Global and Planetary Change (157 citations), Microbiology (21 citations), Oceanography (33 citations) and Water Science and Technology (19 citations). Danhong Dong has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Gang Huang, Weichen Tao, Kaiming Hu, Xia Qü, Guangzhou Fan, William K. M. Lau, Pengfei Wang, Chaofan Li, Renguang Wu and Pengfei Wang. Their work appears in journals such as International Journal of Climatology, Climate Dynamics, Briefings in Bioinformatics, BMC Medicine and Frontiers in Nutrition.
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.