Dan Yang
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Immunology top 5%
- interferon and immune responses
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- Long-Term Effects of COVID-19 3
- Co-authors
- Qizhu Tang (10 shared papers)Di Fan (9 shared papers)Zhen Guo (10 shared papers)Zheng Yang (10 shared papers)Fang-Yuan Liu (7 shared papers)Hanqing Liu (6 shared papers)Shengli Chen (2 shared papers)Weixi Xiong (2 shared papers)
- Journals
- Epilepsia (2 papers)Frontiers in Medicine (2 papers)International Journal of Medical Sciences (2 papers)Stem Cell Research (2 papers)Neurology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Yang
64 papers receiving 2.8k citations
Dan Yang's Hit Papers
Peers
Comparison fields: 5 of 113
- Physiology 190
- Immunology 799
- Neurology 404
- Cancer Research 278
- Rheumatology 283
Countries citing papers authored by Dan Yang
This map shows the geographic impact of Dan Yang'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 Dan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yang more than expected).
Fields of papers citing papers by Dan Yang
This network shows the impact of papers produced by Dan Yang. 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 Dan Yang. The network helps show where Dan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yang, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early-Onset Stroke and Vasculopathy Associated with Mutations in ADA2 Hit paper breakdown → | 2014 | 645 |
| 2 | 2015 | 500 | |
| 3 | 2019 | 264 | |
| 4 | 2020 | 240 | |
| 5 | 2016 | 203 | |
| 6 | 2020 | 116 | |
| 7 | 2024 | 66 | |
| 8 | 2018 | 46 | |
| 9 | 2022 | 44 | |
| 10 | 2021 | 43 | |
| 11 | 2021 | 40 | |
| 12 | 2021 | 39 | |
| 13 | 2015 | 38 | |
| 14 | 2022 | 38 | |
| 15 | 2021 | 37 | |
| 16 | 2020 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2022 | 33 | |
| 19 | 2019 | 32 | |
| 20 | 2019 | 28 |
About Dan Yang
Dan Yang is a scholar working on Neurology, Immunology, Cardiology and Cardiovascular Medicine, Rheumatology and Molecular Biology, having authored 68 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Ubiquitin and proteasome pathways (4 papers), Inflammasome and immune disorders (4 papers), Long-Term Effects of COVID-19 (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), GDF15 and Related Biomarkers (3 papers), Mitochondrial Function and Pathology (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (2 papers). The work is most often cited by research in Physiology (190 citations), Immunology (799 citations), Neurology (404 citations), Cancer Research (278 citations) and Rheumatology (283 citations). Dan Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qizhu Tang, Di Fan, Zhen Guo, Zheng Yang, Fang-Yuan Liu, Hanqing Liu, Shengli Chen, Weixi Xiong, Yingying Zhang and Josemir W. A. S. Sander. Their work appears in journals such as Epilepsia, Frontiers in Medicine, International Journal of Medical Sciences, Stem Cell Research and Neurology.
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.