Hai Tang
Impact in
- Oral Surgery top 5%
- Endodontics and Root Canal Treatments
- Dental Radiography and Imaging
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neuroscience and Neuropharmacology Research 9
- Neuroscience and Neural Engineering 3
-
- Memory and Neural Mechanisms 7
- Co-authors
- Nándor Ludvig (14 shared papers)Mahmoud Torabinejad (1 shared paper)James D. Kettering (1 shared paper)Lingqi Zhou (8 shared papers)Kaihua Guo (7 shared papers)Shanshan Ou (7 shared papers)Tong Wu (6 shared papers)Lizhi Chen (5 shared papers)
- Journals
- Brain Research (4 papers)Behavioural Brain Research (2 papers)Heliyon (2 papers)Computers in Biology and Medicine (1 paper)IUBMB Life (1 paper)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Hai Tang
41 papers receiving 785 citations
Peers
Comparison fields: 5 of 103
- Oral Surgery 87
- Cellular and Molecular Neuroscience 159
- Biological Psychiatry 20
- Developmental Neuroscience 32
- Neurology 58
Countries citing papers authored by Hai Tang
This map shows the geographic impact of Hai 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 Hai Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Tang more than expected).
Fields of papers citing papers by Hai Tang
This network shows the impact of papers produced by Hai 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 Hai Tang. The network helps show where Hai Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2002 | 90 | |
| 3 | 2014 | 52 | |
| 4 | 2004 | 46 | |
| 5 | 2018 | 43 | |
| 6 | 2008 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2016 | 31 | |
| 9 | 2019 | 29 | |
| 10 | 2013 | 28 | |
| 11 | 2007 | 21 | |
| 12 | 2001 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2003 | 18 | |
| 17 | 2019 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2001 | 15 |
About Hai Tang
Hai Tang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Surgery and Psychiatry and Mental health, having authored 42 papers that have together received 808 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (7 papers), Epilepsy research and treatment (5 papers), Alzheimer's disease research and treatments (3 papers), Neuroscience and Neural Engineering (3 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Oral Surgery (87 citations), Cellular and Molecular Neuroscience (159 citations), Biological Psychiatry (20 citations), Developmental Neuroscience (32 citations) and Neurology (58 citations). Hai Tang has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Nándor Ludvig, Mahmoud Torabinejad, James D. Kettering, Lingqi Zhou, Kaihua Guo, Shanshan Ou, Tong Wu, Lizhi Chen, Ruben Kuzniecky and Jie Xu. Their work appears in journals such as Brain Research, Behavioural Brain Research, Heliyon, Computers in Biology and Medicine and IUBMB Life.
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.