Danfeng Yu
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Zejin Ou (9 shared papers)Zhi Wang (1 shared paper)Shihao Tang (2 shared papers)Danping Duan (2 shared papers)Jing Pan (1 shared paper)Huan He (6 shared papers)Wenqiao He (6 shared papers)Yuanhao Liang (5 shared papers)
- Journals
- Scientific Reports (1 paper)Placenta (1 paper)BMC Pregnancy and Childbirth (1 paper)Infectious Diseases of Poverty (1 paper)BMC Cancer (1 paper)
- Partner nations
- China
In The Last Decade
Danfeng Yu
18 papers receiving 633 citations
Danfeng Yu's Hit Papers
Peers
Comparison fields: 5 of 107
- Neurology 259
- Biological Psychiatry 16
- Neurology 50
- Cellular and Molecular Neuroscience 89
- Physical Therapy, Sports Therapy and Rehabilitation 20
Countries citing papers authored by Danfeng Yu
This map shows the geographic impact of Danfeng Yu'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 Danfeng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danfeng Yu more than expected).
Fields of papers citing papers by Danfeng Yu
This network shows the impact of papers produced by Danfeng Yu. 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 Danfeng Yu. The network helps show where Danfeng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danfeng Yu, 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 | Global Trends in the Incidence, Prevalence, and Years Lived With Disability of Parkinson's Disease in 204 Countries/Territories From 1990 to 2019 Hit paper breakdown → | 2021 | 425 |
| 2 | 2022 | 37 | |
| 3 | 2020 | 33 | |
| 4 | 2022 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | [Clinical study of dynamic changes in acute phase proteins in sepsis]. | 2005 | 1 |
| 19 | 2025 | 0 |
About Danfeng Yu
Danfeng Yu is a scholar working on Epidemiology, Molecular Biology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Immunology, having authored 19 papers that have together received 638 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Birth, Development, and Health (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Reproductive System and Pregnancy (2 papers), Smoking Behavior and Cessation (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Neurology (259 citations), Biological Psychiatry (16 citations), Neurology (50 citations), Cellular and Molecular Neuroscience (89 citations) and Physical Therapy, Sports Therapy and Rehabilitation (20 citations). Danfeng Yu has collaborated with scholars based in China. Frequent co-authors include Zejin Ou, Zhi Wang, Shihao Tang, Danping Duan, Jing Pan, Huan He, Wenqiao He, Yuanhao Liang, Qing Chen and Fei Wu. Their work appears in journals such as Scientific Reports, Placenta, BMC Pregnancy and Childbirth, Infectious Diseases of Poverty and BMC Cancer.
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.