Hedi An
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
-
- Cancer-related molecular mechanisms research
Papers in
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- Parkinson's Disease Mechanisms and Treatments 6
- Brain Tumor Detection and Classification 2
- Neurological disorders and treatments 2
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- Cerebrovascular and Carotid Artery Diseases 6
- Co-authors
- Dongya Huang (13 shared papers)Lanlan Zheng (2 shared papers)Jianqi Li (4 shared papers)Yiwen Bao (2 shared papers)Gaiying Li (2 shared papers)Jie Yang (2 shared papers)Fei Yu (2 shared papers)Hongrong Xie (3 shared papers)
- Journals
- Neurocomputing (1 paper)Scientific Reports (1 paper)Neurochemical Research (1 paper)Brain Research (1 paper)NeuroImage (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Hedi An
19 papers receiving 369 citations
Peers
Comparison fields: 5 of 79
- Neurology 158
- Neurology 46
- Cancer Research 47
- Pulmonary and Respiratory Medicine 90
- Complementary and alternative medicine 20
Countries citing papers authored by Hedi An
This map shows the geographic impact of Hedi An'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 Hedi An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hedi An more than expected).
Fields of papers citing papers by Hedi An
This network shows the impact of papers produced by Hedi An. 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 Hedi An. The network helps show where Hedi An may publish in the future.
Co-authors
The 25 scholars most cited alongside Hedi An, 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 | 2018 | 74 | |
| 2 | 2021 | 70 | |
| 3 | 2018 | 52 | |
| 4 | 2022 | 37 | |
| 5 | 2018 | 27 | |
| 6 | 2022 | 26 | |
| 7 | 2019 | 16 | |
| 8 | 2017 | 11 | |
| 9 | 2016 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2018 | 5 | |
| 15 | Effect of dyslipidemia on intima-media thickness of intra- and extracranial atherosclerosis by regulating the expression of hsp70 in rabbits. | 2015 | 4 |
| 16 | 2015 | 4 | |
| 17 | 2013 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 |
About Hedi An
Hedi An is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 369 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Acute Ischemic Stroke Management (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), MicroRNA in disease regulation (2 papers), Brain Tumor Detection and Classification (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Neurology (158 citations), Neurology (46 citations), Cancer Research (47 citations), Pulmonary and Respiratory Medicine (90 citations) and Complementary and alternative medicine (20 citations). Hedi An has collaborated with scholars based in China and United States. Frequent co-authors include Dongya Huang, Lanlan Zheng, Jianqi Li, Yiwen Bao, Gaiying Li, Jie Yang, Fei Yu, Hongrong Xie, Lufeng Wang and Jun Shi. Their work appears in journals such as Neurocomputing, Scientific Reports, Neurochemical Research, Brain Research and NeuroImage.
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.