Haiqing Yan
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Kruppel-like factors research 2
-
- Cerebrovascular and Carotid Artery Diseases 4
- Co-authors
- Xuejing Yue (4 shared papers)Hehua Li (5 shared papers)Ping Zhang (3 shared papers)Chang Li (1 shared paper)Xiangyan Chen (2 shared papers)Caijing Han (2 shared papers)Anwei Cheng (1 shared paper)Chang Li (5 shared papers)
- Journals
- Scientific Reports (1 paper)Neurologia medico-chirurgica (1 paper)Medicine (1 paper)International Journal of Biological Macromolecules (1 paper)Lipids in Health and Disease (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Haiqing Yan
18 papers receiving 400 citations
Peers
Comparison fields: 5 of 85
- Neurology 134
- Biochemistry 48
- Neurology 55
- Complementary and alternative medicine 35
- Clinical Biochemistry 23
Countries citing papers authored by Haiqing Yan
This map shows the geographic impact of Haiqing Yan'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 Haiqing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiqing Yan more than expected).
Fields of papers citing papers by Haiqing Yan
This network shows the impact of papers produced by Haiqing Yan. 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 Haiqing Yan. The network helps show where Haiqing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiqing Yan, 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 | 2016 | 138 | |
| 2 | 2014 | 64 | |
| 3 | 2016 | 59 | |
| 4 | 2014 | 27 | |
| 5 | 2017 | 18 | |
| 6 | 2013 | 13 | |
| 7 | 2017 | 12 | |
| 8 | Neuroprotective Effects of Umbilical Cord-Derived Mesenchymal Stem Cells on Radiation-Induced Brain Injury in Mice. | 2020 | 12 |
| 9 | 2012 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2013 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2020 | 4 | |
| 17 | 2014 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Haiqing Yan
Haiqing Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Neurology, Neurology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 409 indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Neurological Disorders and Treatments (3 papers), Kruppel-like factors research (2 papers), Apelin-related biomedical research (2 papers), Acute Ischemic Stroke Management (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Neurology (134 citations), Biochemistry (48 citations), Neurology (55 citations), Complementary and alternative medicine (35 citations) and Clinical Biochemistry (23 citations). Haiqing Yan has collaborated with scholars based in China and United States. Frequent co-authors include Xuejing Yue, Hehua Li, Ping Zhang, Chang Li, Xiangyan Chen, Caijing Han, Anwei Cheng, Chang Li, Yaoqi Tian and Wenliang Wang. Their work appears in journals such as Scientific Reports, Neurologia medico-chirurgica, Medicine, International Journal of Biological Macromolecules and Lipids in Health and Disease.
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.