Chun Dang
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
-
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Neurological Disease Mechanisms and Treatments 3
- Vagus Nerve Stimulation Research 2
- Long-Term Effects of COVID-19 2
-
- Multiple Sclerosis Research Studies 3
- Co-authors
- Junwei Hao (4 shared papers)Bin Han (4 shared papers)Lihua Wang (3 shared papers)Ranran Han (3 shared papers)Yuze Cao (2 shared papers)Qian Li (1 shared paper)He‐Ping Ma (1 shared paper)Wei Jiang (3 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Neurological Sciences (1 paper)PLoS ONE (1 paper)Theranostics (1 paper)Genome Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Chun Dang
17 papers receiving 701 citations
Peers
Comparison fields: 5 of 77
- Neurology 212
- Immunology 185
- Biological Psychiatry 19
- Geriatrics and Gerontology 15
- Developmental Neuroscience 17
Countries citing papers authored by Chun Dang
This map shows the geographic impact of Chun Dang'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 Chun Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Dang more than expected).
Fields of papers citing papers by Chun Dang
This network shows the impact of papers produced by Chun Dang. 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 Chun Dang. The network helps show where Chun Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 223 | |
| 2 | 2021 | 167 | |
| 3 | 2020 | 133 | |
| 4 | 2023 | 36 | |
| 5 | 2021 | 30 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 22 | |
| 8 | 2019 | 16 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 10 | |
| 12 | 2024 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 0 |
About Chun Dang
Chun Dang is a scholar working on Neurology, Pathology and Forensic Medicine, Psychiatry and Mental health, Neurology and Biological Psychiatry, having authored 18 papers that have together received 710 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Multiple Sclerosis Research Studies (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Vagus Nerve Stimulation Research (2 papers), Dementia and Cognitive Impairment Research (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Long-Term Effects of COVID-19 (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Neurology (212 citations), Immunology (185 citations), Biological Psychiatry (19 citations), Geriatrics and Gerontology (15 citations) and Developmental Neuroscience (17 citations). Chun Dang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Junwei Hao, Bin Han, Lihua Wang, Ranran Han, Yuze Cao, Qian Li, He‐Ping Ma, Wei Jiang, Kai Zheng and Zhenyu Ju. Their work appears in journals such as Frontiers in Pharmacology, Neurological Sciences, PLoS ONE, Theranostics and Genome Medicine.
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.