Hefei Tang
Impact in
- Psychiatry and Mental health top 10%
- Migraine and Headache Studies
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- Cerebrospinal fluid and hydrocephalus
Papers in
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- Migraine and Headache Studies 11
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- Cerebrospinal fluid and hydrocephalus 2
- Hereditary Neurological Disorders 2
- Co-authors
- Xueying Yu (20 shared papers)Ziyu Yuan (14 shared papers)Yonggang Wang (15 shared papers)Yaqing Zhang (16 shared papers)Wei Wang (13 shared papers)Binbin Sui (13 shared papers)Xiaoyan Bai (11 shared papers)Peng Zhang (7 shared papers)
- Journals
- The Journal of Headache and Pain (12 papers)Frontiers in Neurology (5 papers)Annals of Clinical and Translational Neurology (2 papers)BMC Medicine (1 paper)Clinical Neurology and Neurosurgery (1 paper)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Hefei Tang
27 papers receiving 260 citations
Peers
Comparison fields: 5 of 41
- Psychiatry and Mental health 102
- Cellular and Molecular Neuroscience 42
- Neurology 30
- Neurology 11
- Cognitive Neuroscience 24
Countries citing papers authored by Hefei Tang
This map shows the geographic impact of Hefei Tang'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 Hefei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hefei Tang more than expected).
Fields of papers citing papers by Hefei Tang
This network shows the impact of papers produced by Hefei Tang. 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 Hefei Tang. The network helps show where Hefei Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hefei Tang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 24 | |
| 2 | 2022 | 23 | |
| 3 | 2022 | 23 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2018 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2021 | 4 |
About Hefei Tang
Hefei Tang is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Surgery, having authored 28 papers that have together received 262 indexed citations. Recurring topics across this work include Migraine and Headache Studies (11 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Hereditary Neurological Disorders (2 papers), Cerebrovascular and genetic disorders (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Psychiatry and Mental health (102 citations), Cellular and Molecular Neuroscience (42 citations), Neurology (30 citations), Neurology (11 citations) and Cognitive Neuroscience (24 citations). Hefei Tang has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Xueying Yu, Ziyu Yuan, Yonggang Wang, Yaqing Zhang, Wei Wang, Binbin Sui, Xiaoyan Bai, Peng Zhang, Zhiye Li and Xueyan Zhang. Their work appears in journals such as The Journal of Headache and Pain, Frontiers in Neurology, Annals of Clinical and Translational Neurology, BMC Medicine and Clinical Neurology and Neurosurgery.
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.