Ying Jun Cui
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Jonathan D. Dinman (3 shared papers)Stuart W. Peltz (3 shared papers)Qiuhong Wei (3 shared papers)Ximing Xu (3 shared papers)Bo Wei (1 shared paper)Zhezhen Jin (1 shared paper)Terri Goss Kinzy (1 shared paper)Mishiya Matsumoto (3 shared papers)
- Journals
- BMC Cardiovascular Disorders (2 papers)Frontiers in Cellular Neuroscience (2 papers)Molecular and Cellular Biology (2 papers)Brain Research (2 papers)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ying Jun Cui
53 papers receiving 852 citations
Peers
Comparison fields: 5 of 124
- Health Informatics 67
- Biological Psychiatry 14
- Molecular Biology 339
- Developmental Neuroscience 19
- Cancer Research 57
Countries citing papers authored by Ying Jun Cui
This map shows the geographic impact of Ying Jun Cui'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 Ying Jun Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Jun Cui more than expected).
Fields of papers citing papers by Ying Jun Cui
This network shows the impact of papers produced by Ying Jun Cui. 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 Ying Jun Cui. The network helps show where Ying Jun Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Jun Cui, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 93 | |
| 2 | 1998 | 64 | |
| 3 | 1999 | 58 | |
| 4 | 1996 | 55 | |
| 5 | 2011 | 44 | |
| 6 | 2007 | 42 | |
| 7 | 2006 | 40 | |
| 8 | 2013 | 38 | |
| 9 | 2021 | 30 | |
| 10 | 2019 | 30 | |
| 11 | 2009 | 27 | |
| 12 | [Changes and significance of orphanin and serotonin in patients with postpartum depression]. | 2003 | 26 |
| 13 | 2023 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2022 | 15 | |
| 19 | 2025 | 15 | |
| 20 | 2024 | 15 |
About Ying Jun Cui
Ying Jun Cui is a scholar working on Neurology, Health Informatics, Cardiology and Cardiovascular Medicine, Molecular Biology and Neurology, having authored 60 papers that have together received 865 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), RNA and protein synthesis mechanisms (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 diagnosis using AI (2 papers), Plant Virus Research Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Health Informatics (67 citations), Biological Psychiatry (14 citations), Molecular Biology (339 citations), Developmental Neuroscience (19 citations) and Cancer Research (57 citations). Ying Jun Cui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jonathan D. Dinman, Stuart W. Peltz, Qiuhong Wei, Ximing Xu, Bo Wei, Zhezhen Jin, Terri Goss Kinzy, Mishiya Matsumoto, Jason Yasenchak and Takefumi Sakabe. Their work appears in journals such as BMC Cardiovascular Disorders, Frontiers in Cellular Neuroscience, Molecular and Cellular Biology, Brain Research and British Journal of Clinical Pharmacology.
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.