Diankun Yu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 4
- Neuropeptides and Animal Physiology 3
-
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Co-authors
- Xianhua Piao (7 shared papers)Tao Li (6 shared papers)Laura A. Schrader (5 shared papers)Rong Luo (3 shared papers)Brian Chiou (2 shared papers)Stefanie Giera (2 shared papers)Allie K. Muthukumar (1 shared paper)Casey K. Gilman (1 shared paper)
- Journals
- Glia (2 papers)The EMBO Journal (2 papers)Development (2 papers)Alzheimer s & Dementia (1 paper)Cerebral Cortex (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Diankun Yu
14 papers receiving 395 citations
Peers
Comparison fields: 5 of 64
- Neurology 129
- Developmental Neuroscience 42
- Biological Psychiatry 21
- Behavioral Neuroscience 22
- Cellular and Molecular Neuroscience 109
Countries citing papers authored by Diankun Yu
This map shows the geographic impact of Diankun 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 Diankun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diankun Yu more than expected).
Fields of papers citing papers by Diankun Yu
This network shows the impact of papers produced by Diankun 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 Diankun Yu. The network helps show where Diankun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Diankun 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 | 2020 | 121 | |
| 2 | 2015 | 78 | |
| 3 | 2019 | 34 | |
| 4 | 2022 | 33 | |
| 5 | 2016 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2014 | 23 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 0 |
About Diankun Yu
Diankun Yu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Developmental Neuroscience and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 395 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neuropeptides and Animal Physiology (3 papers), Congenital heart defects research (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Alzheimer's disease research and treatments (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Neurology (129 citations), Developmental Neuroscience (42 citations), Biological Psychiatry (21 citations), Behavioral Neuroscience (22 citations) and Cellular and Molecular Neuroscience (109 citations). Diankun Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xianhua Piao, Tao Li, Laura A. Schrader, Rong Luo, Brian Chiou, Stefanie Giera, Allie K. Muthukumar, Casey K. Gilman, Fading Chen and Hisashi Umemori. Their work appears in journals such as Glia, The EMBO Journal, Development, Alzheimer s & Dementia and Cerebral Cortex.
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.